Search Results

Search found 740 results on 30 pages for 'processors'.

Page 22/30 | < Previous Page | 18 19 20 21 22 23 24 25 26 27 28 29  | Next Page >

• Virtual Box - How to open a .VDI Virtual Machine

  - by [email protected]

   How to open a .VDI Virtual MachineSometimes someone share with us one Virtual machine with extension .VDI, after that we can wonder how and what with?Well the answer is... It is a VirtualBox - Virtual Machine. If you have not downloaded it you can do this easily just follow this post.http://listeningoracle.blogspot.com/2010/04/que-es-virtualbox.htmlor http://oracleoforacle.wordpress.com/2010/04/14/ques-es-virtualbox/Ok, Now with VirtualBox Installed open it and proceed with the following:1. Open the Virtual File Manager. 2. Click on Actions ? Add and select the .VDI file Click "Ok"3. Now we can register the new Virtual Machine - Click New, and Click Next4. Write down a Name for the virtual Machine a proceed to select a Operating System and Version. (In this case it is a Linux (Oracle Enterprise Linux or RedHat)Click Next5. Select the memory amount base for the Virtual Machine (Minimal 1280 for our case) - Click Next6. Select the Disk 11GR2_OEL5_32GB.vdi it was added in the virtual media manager in the step 2. Dont forget let selected Boot hard Disk (Primary Master) . Given it is the only disk assigned to the virtual machine.Click Next7. Click Finish8. This step is important. Once you have click on the settings Button.9. On General option click the advanced settings. Here you must change the default directory to save your Snapshots; my recommendation set it to the same directory where the .Vdi file is. Otherwise you can have the same Virtual Machine and its snapshots in different paths.10. Now Click on System, and proceed to assign the correct memory (If you did not before) Note: Enable "Enable IO APIC" if you are planning to assign more than one CPU to the Virtual Machine.Define the processors for the Virtual machine. If you processor is dual core choose 211. Select the video memory amount you want to assign to the Virtual Machine 12. Associated more storage disk to the Virtual machine, if you have more VDI files. (Not our case)The disk must be selected as IDE Primary Master. 13. Well you can verify the other options, but with these changes you will be able to start the VM.Note: Sometime the VM owner may share some instructions, if so follow his instructions.14. Finally Start the Virtual Machine (Click > Start)

  Read the article

• New Netra SPARC T3 Servers

  - by Ferhat Hatay

  Today at the Mobile World Congress 2011, Oracle announced two new carrier-grade NEBS Level 3- certified servers: Oracle’s Netra SPARC T3-1 rackmount server and Oracle’s Netra SPARC T3-1BA ATCA blade server bringing the performance, scalability and power efficiency of the newest SPARC T3 processor to the communications market.    The Netra SPARC T3-1 server enclosure has a compact 20inch-deep carrier-grade rack-optimized design The new Netra SPARC T3 servers further expand Oracle’s complete portfolio for the communications industry, which includes carrier-grade servers, storage and application software to run operations support systems and service delivery platforms with easy migration capabilities and unmatched investment protection via the binary compatibility guarantee of the Oracle Solaris operating system. With advanced reliability, networking and security features built-in to Oracle Solaris – the most widely deployed carrier-grade OS – the systems announced today are uniquely suited for mission-critical core network infrastructure and service delivery. The world’s first carrier-grade system using the 16-core, 128-thread SPARC T3 processor, the Netra SPARC T3-1 server supports 2x the I/O bandwidth, 2x the memory and is 35 percent faster than the previous generation. With integrated on-chip 10 Gigabit Ethernet, on-chip cryptographic acceleration, and built-in, no-cost Oracle VM Server for SPARC and Oracle Solaris Containers for virtualization, the Netra SPARC T3-1 server is an ideal platform for consolidation, offering 128 virtual systems in a single server. As the next generation Netra SPARC ATCA blade, Netra SPARC T3-1BA ATCA blade server brings the PICMG 3.0 compatibility, NEBS Level 3 Certification, ETSI compliance and the Netra business practices to the customer solution. The Netra SPARC T3-1BA ATCA blade server can be mixed in the Sun Netra CT900 blade chassis with other ATCA UltraSPARC and x86 blades.     The Netra SPARC T3-1BA ATCA blade server   The Netra SPARC T3-1BA ATCA blade server delivers industry-leading scalability, density and cost efficiency with up to 36 SPARC T3 processors (3456 processing threads) in a single rack – a 50 percent increase over the previous generation. The Netra SPARC T3-1BA blade server also offers high-bandwidth and high-capacity I/O, with greater memory capacity to tackle the increasing business demands of the communications industry. For service providers faced with the rapid growth of broadband networks and the dramatic surge in global smartphone adoption, the new Netra SPARC T3 systems deliver continuous availability with massive scalability, tested and certified to run in the harshest conditions. More information Oracle’s Sun Netra Servers Scaling Throughput and Managing TCO with Oracle’s Netra SPARC T3-1 Servers Enabling End-to-End 10 Gigabit Ethernet in Oracle's Sun Netra ATCA Product Family Data Sheet: Netra SPARC T3-1BA ATCA Blade Server Data Sheet: Netra SPARC T3-1 Server Oracle Solaris: The Carrier Grade Operating System

  Read the article

• Configuring Oracle iPlanet WebServer / Oracle Traffic Director to use crypto accelerators on T4-1 servers

  - by mv

  Configuring Oracle iPlanet Web Server / Oracle Traffic Director to use crypto accelerators on T4-1 servers Jyri had written a technical article on Configuring Solaris Cryptographic Framework and Sun Java System Web Server 7 on Systems With UltraSPARC T1 Processors. I tried to find out what has changed since then in T4. I have used a T4-1 SPARC system with Solaris 10. Results slightly vary for Solaris 11.  For Solaris 11, the T4 optimization was implemented in libsoftcrypto.so while it was in pkcs11_softtoken_extra.so for Solaris 10. Overview of T4 processors is here in this blog. Many thanx to Chi-Chang Lin and Julien for their help. 1. Install Oracle iPlanet Web Server / Oracle Traffic Director.  Go to instance/config directory.  # cd /opt/oracle/webserver7/https-hostname.fqdn/config 2. List default PKCS#11 Modules # ../../bin/modutil -dbdir . -listListing of PKCS #11 Modules-----------------------------------------------------------1. NSS Internal PKCS #11 Moduleslots: 2 slots attachedstatus: loadedslot: NSS Internal Cryptographic Servicestoken: NSS Generic Crypto Servicesslot: NSS User Private Key and Certificate Servicestoken: NSS Certificate DB2. Root Certslibrary name: libnssckbi.soslots: 1 slot attachedstatus: loadedslot: NSS Builtin Objectstoken: Builtin Object Token----------------------------------------------------------- 3. Initialize the soft token data store in the $HOME/.sunw/pkcs11_softtoken/ directory # pktool setpin keystore=pkcs11Enter token passphrase: olderpasswordCreate new passphrase: passwordRe-enter new passphrase: passwordPassphrase changed. 4. Offload crypto operations to Solaris Crypto Framework on T4 $ ../../bin/modutil -dbdir . -nocertdb -add SCF -libfile /usr/lib/libpkcs11.so -mechanisms RSA:AES:SHA1:MD5 Module "SCF" added to database. Note that -nocertdb means modutil won't try to open the NSS softoken key database. It doesn't even have to be present. PKCS#11 library used is /usr/lib/libpkcs11.so. If the server is running in 64 bit mode, we have to use /usr/lib/64/libpkcs11.so Unlike T1 and T2, in T4 we do not have to disable mechanisms in softtoken provider using cryptoadm. 5. List again to check that a new module SCF is added # ../../bin/modutil -dbdir . -list Listing of PKCS #11 Modules-----------------------------------------------------------1. NSS Internal PKCS #11 Moduleslots: 2 slots attachedstatus: loadedslot: NSS Internal Cryptographic Servicestoken: NSS Generic Crypto Servicesslot: NSS User Private Key and Certificate Servicestoken: NSS Certificate DB2. SCFlibrary name: /usr/lib/libpkcs11.soslots: 2 slots attachedstatus: loadedslot: Sun Metaslottoken: Sun Metaslotslot: n2rng/0 SUNW_N2_Random_Number_Generator token: n2rng/0 SUNW_N2_RNG 3. Root Certs library name: libnssckbi.so slots: 1 slot attached status: loaded slot: NSS Builtin Objects token: Builtin Object Token----------------------------------------------------------- 6.  Create certificate in “Sun Metaslot” : I have used certutil, but you must use Admin Server CLI / GUI # ../../bin/certutil -S -x -n "Server-Cert" -t "CT,CT,CT" -s "CN=*.fqdn" -d . -h "Sun Metaslot"Enter Password or Pin for "Sun Metaslot": password 7. Verify that the certificate is created properly in “Sun Metslaot” # ../../bin/certutil -L -d . -h "Sun Metaslot"Certificate Nickname Trust AttributesSSL,S/MIME,JAR/XPIEnter Password or Pin for "Sun Metaslot": passwordSun Metaslot:Server-Cert CTu,Cu,Cu# 8. Associate this newly created certificate to http listener using Admin CLI/GUI. After that server.xml should have <http-listener> ...    <ssl>        <server-cert-nickname>Sun Metaslot:Server-Cert</server-cert-nicknamer>    </ssl> Note the prefix "Sun Metaslot" 9. Disable PKCS#11 bypass To use the accelerated AES algorithm, turn off PKCS#11 bypass, and configure modutil to have the AES mechanism go to the Metaslot. After you disable PKCS#11 bypasss using Admin GUI/CLI,  check that server.xml should have <server> ....    <pkcs11>         <enabled>1</enabled>         <allow-bypass>0</allow-bypass>     </pkcs11> With PKCS#11 bypass enabled, Oracle iPlanet Web Server will only use the RSA capability of the T4, provided certificate and key are stored in the T4 slot (Metaslot). Actually, the RSA op is never bypassed in NSS, it's always done with PKCS#11 calls. So the bypass settings won't affect the behavior of the probes for RSA at all. The only thing that matters if where the RSA key and certificate live, ie. which PKCS#11 token, and thus which PKCS#11 module gets called to do the work. If your certificate/key are in the NSS certificate/key db, you will see libsoftokn3/libfreebl libraries doing the RSA work. If they are in the Sun Metaslot, it should be the Solaris code. 10. Start the server instance # ../bin/startserv Oracle iPlanet Web Server 7.0.16 B09/14/2012 03:33Please enter the PIN for the "Sun Metaslot" token: password...info: HTTP3072: http-listener-1: https://hostname.fqdn:80 ready to accept requestsinfo: CORE3274: successful server startup 11. Figure out which process to run this DTrace script on # ps -eaf | grep webservd | grep -v dogwebservd 18224 18223 0 13:17:25 ? 0:07 webservd -d /opt/oracle/webserver7/https-hostname.fqdn/config -r /opt/root 18225 18224 0 13:17:25 ? 0:00 webservd -d /opt/oracle/webserver7/https-hostname.fqdn/config -r /opt/ (For Oracle Traffic Director look for process named "trafficd") We see that the child process id is “18225” 12. Clients for testing : You can use any browser. I used NSS tool tstclnt for testing $cat > req.txtGET /index.html HTTP/1.0 For checking both RSA and AES, I used cipher “:0035” which is TLS_RSA_WITH_AES_256_CBC_SHA $./tstclnt -h hostname -p 80 -d . -T -f -o -v -c “:0035” < req.txt 13. How do I make sure that crypto accelerator is being used 13.1 Create DTrace script The following D script should be able to uncover whether T4-specific crypto routine are being called or not. It also displays stats per second. # cat > t4crypto.d#!/usr/sbin/dtrace -spid$target::*rsa*:entry,pid$target::*yf*:entry{    @ops[probemod, probefunc] = count();}tick-1sec{    printa(@ops);    trunc(@ops);} Invoke with './t4crypto.d -p <pid> ' 13.2 EXPECTED PROBES FOR Solaris 10 : If offloading to T4 HW are correctly set up, the expected DTrace output would have these probes and libraries library Operations PROBES pkcs11_softtoken_extra.so RSA soft_decrypt_rsa_pkcs_decode, soft_encrypt_rsa_pkcs_encode soft_rsa_crypt_init_common soft_rsa_decrypt, soft_rsa_encrypt soft_rsa_decrypt_common, soft_rsa_encrypt_common AES yf_aes_instructions_present yf_aes_expand256, yf_aes256_cbc_decrypt, yf_aes256_cbc_encrypt, yf_aes256_load_keys_for_decrypt, yf_aes256_load_keys_for_encrypt, Note that these are for 256, same for 128, 192... these are for cbc, same for ecb, ctr, cfb128... DES yf_des_expand, yf_des_instructions_present yf_des_encrypt libmd_psr.so MD5 yf_md5_multiblock, yf_md5_instruction_present SHA1 yf_sha1_instruction_present, yf_sha1_multibloc 13.3 SAMPLE OUTPUT FOR CIPHER TLS_RSA_WITH_AES_256_CBC_SHA (0x0035) ON T4 SPARC SOLARIS 10 WITHOUT PKCS#11 BYPASS # ./t4crypto.d -p 18225 pkcs11_softtoken_extra.so.1   soft_decrypt_rsa_pkcs_decode    1 pkcs11_softtoken_extra.so.1   soft_rsa_crypt_init_common      1 pkcs11_softtoken_extra.so.1   soft_rsa_decrypt                1 pkcs11_softtoken_extra.so.1   big_mp_mul_yf                   2 pkcs11_softtoken_extra.so.1   mpm_yf_mpmul                    2 pkcs11_softtoken_extra.so.1   mpmul_arr_yf                    2 pkcs11_softtoken_extra.so.1   rijndael_key_setup_enc_yf       2 pkcs11_softtoken_extra.so.1   soft_rsa_decrypt_common         2 pkcs11_softtoken_extra.so.1   yf_aes_expand256                2 pkcs11_softtoken_extra.so.1   yf_aes256_cbc_decrypt           3 pkcs11_softtoken_extra.so.1   yf_aes256_load_keys_for_decrypt 3 pkcs11_softtoken_extra.so.1   big_mont_mul_yf                 6 pkcs11_softtoken_extra.so.1   mm_yf_montmul                   6 pkcs11_softtoken_extra.so.1   yf_des_instructions_present     6 pkcs11_softtoken_extra.so.1   yf_aes256_cbc_encrypt           8 pkcs11_softtoken_extra.so.1   yf_aes256_load_keys_for_encrypt 8 pkcs11_softtoken_extra.so.1   yf_mpmul_present                8 pkcs11_softtoken_extra.so.1   yf_aes_instructions_present    13 pkcs11_softtoken_extra.so.1   yf_des_encrypt                 18 libmd_psr.so.1                yf_md5_multiblock              41 libmd_psr.so.1                yf_md5_instruction_present     72 libmd_psr.so.1                yf_sha1_instruction_present    82 libmd_psr.so.1                yf_sha1_multiblock             82 This indicates that both RSA and AES ops are done in Solaris Crypto Framework. 13.4 SAMPLE OUTPUT FOR CIPHER TLS_RSA_WITH_AES_256_CBC_SHA (0x0035) ON T4 SPARC SOLARIS 10 WITH PKCS#11 BYPASS # ./t4crypto.d -p 18225 pkcs11_softtoken_extra.so.1   soft_decrypt_rsa_pkcs_decode 1 pkcs11_softtoken_extra.so.1   soft_rsa_crypt_init_common   1 pkcs11_softtoken_extra.so.1   soft_rsa_decrypt             1 pkcs11_softtoken_extra.so.1   soft_rsa_decrypt_common      1 pkcs11_softtoken_extra.so.1   big_mp_mul_yf                2 pkcs11_softtoken_extra.so.1   mpm_yf_mpmul                 2 pkcs11_softtoken_extra.so.1   mpmul_arr_yf                 2 pkcs11_softtoken_extra.so.1   big_mont_mul_yf              6 pkcs11_softtoken_extra.so.1   mm_yf_montmul                6 pkcs11_softtoken_extra.so.1   yf_mpmul_present             8 For this cipher, when I enable PKCS#11 bypass, Only RSA probes are being hit AES probes are not being hit. 13.5 ustack() for RSA operations / probefunc == "soft_rsa_decrypt" / Shows that libnss3.so is calling C_* functions of libpkcs11.so which is calling functions of pkcs11_softtoken_extra.so for both cases with and without bypass. When PKCS#11 bypass is disabled (allow-bypass is 0) pkcs11_softtoken_extra.so.1`soft_rsa_decrypt pkcs11_softtoken_extra.so.1`soft_rsa_decrypt_common+0x94 pkcs11_softtoken_extra.so.1`soft_unwrapkey+0x258 pkcs11_softtoken_extra.so.1`C_UnwrapKey+0x1ec libpkcs11.so.1`meta_unwrap_key+0x17c libpkcs11.so.1`meta_UnwrapKey+0xc4 libpkcs11.so.1`C_UnwrapKey+0xfc libnss3.so`pk11_AnyUnwrapKey+0x6b8 libnss3.so`PK11_PubUnwrapSymKey+0x8c libssl3.so`ssl3_HandleRSAClientKeyExchange+0x1a0 libssl3.so`ssl3_HandleClientKeyExchange+0x154 libssl3.so`ssl3_HandleHandshakeMessage+0x440 libssl3.so`ssl3_HandleHandshake+0x11c libssl3.so`ssl3_HandleRecord+0x5e8 libssl3.so`ssl3_GatherCompleteHandshake+0x5c libssl3.so`ssl_GatherRecord1stHandshake+0x30 libssl3.so`ssl_Do1stHandshake+0xec libssl3.so`ssl_SecureRecv+0x1c8 libssl3.so`ssl_Recv+0x9c libns-httpd40.so`__1cNDaemonSessionDrun6M_v_+0x2dc When PKCS#11 bypass is enabled (allow-bypass is 1) pkcs11_softtoken_extra.so.1`soft_rsa_decrypt pkcs11_softtoken_extra.so.1`soft_rsa_decrypt_common+0x94 pkcs11_softtoken_extra.so.1`C_Decrypt+0x164 libpkcs11.so.1`meta_do_operation+0x27c libpkcs11.so.1`meta_Decrypt+0x4c libpkcs11.so.1`C_Decrypt+0xcc libnss3.so`PK11_PrivDecryptPKCS1+0x1ac libssl3.so`ssl3_HandleRSAClientKeyExchange+0xe4 libssl3.so`ssl3_HandleClientKeyExchange+0x154 libssl3.so`ssl3_HandleHandshakeMessage+0x440 libssl3.so`ssl3_HandleHandshake+0x11c libssl3.so`ssl3_HandleRecord+0x5e8 libssl3.so`ssl3_GatherCompleteHandshake+0x5c libssl3.so`ssl_GatherRecord1stHandshake+0x30 libssl3.so`ssl_Do1stHandshake+0xec libssl3.so`ssl_SecureRecv+0x1c8 libssl3.so`ssl_Recv+0x9c libns-httpd40.so`__1cNDaemonSessionDrun6M_v_+0x2dc libnsprwrap.so`ThreadMain+0x1c libnspr4.so`_pt_root+0xe8 13.6 ustack() FOR AES operations / probefunc == "yf_aes256_cbc_encrypt" / When PKCS#11 bypass is disabled (allow-bypass is 0) pkcs11_softtoken_extra.so.1`yf_aes256_cbc_encrypt pkcs11_softtoken_extra.so.1`aes_block_process_contiguous_whole_blocks+0xb4 pkcs11_softtoken_extra.so.1`aes_crypt_contiguous_blocks+0x1cc pkcs11_softtoken_extra.so.1`soft_aes_encrypt_common+0x22c pkcs11_softtoken_extra.so.1`C_EncryptUpdate+0x10c libpkcs11.so.1`meta_do_operation+0x1fc libpkcs11.so.1`meta_EncryptUpdate+0x4c libpkcs11.so.1`C_EncryptUpdate+0xcc libnss3.so`PK11_CipherOp+0x1a0 libssl3.so`ssl3_CompressMACEncryptRecord+0x264 libssl3.so`ssl3_SendRecord+0x300 libssl3.so`ssl3_FlushHandshake+0x54 libssl3.so`ssl3_SendFinished+0x1fc libssl3.so`ssl3_HandleFinished+0x314 libssl3.so`ssl3_HandleHandshakeMessage+0x4ac libssl3.so`ssl3_HandleHandshake+0x11c libssl3.so`ssl3_HandleRecord+0x5e8 libssl3.so`ssl3_GatherCompleteHandshake+0x5c libssl3.so`ssl_GatherRecord1stHandshake+0x30 libssl3.so`ssl_Do1stHandshake+0xec Shows that libnss3.so is calling C_* functions of libpkcs11.so which is calling functions of pkcs11_softtoken_extra.so However when PKCS#11 bypass is disabled (allow-bypass is 1) this stack isn't getting called. 14. LIST OF ALL THE PROBES MATCHED BY D SCRIPT FOR REFERENCE # ./t4crypto.d -p 18225 -l ID PROVIDER MODULE FUNCTION NAME ... 55720 pid18225 libmd_psr.so.1 yf_md5_instruction_present entry 55721 pid18225 libmd_psr.so.1 yf_sha256_instruction_present entry 55722 pid18225 libmd_psr.so.1 yf_sha512_instruction_present entry 55723 pid18225 libmd_psr.so.1 yf_sha1_instruction_present entry 55724 pid18225 libmd_psr.so.1 yf_sha256 entry 55725 pid18225 libmd_psr.so.1 yf_sha256_multiblock entry 55726 pid18225 libmd_psr.so.1 yf_sha512 entry 55727 pid18225 libmd_psr.so.1 yf_sha512_multiblock entry 55728 pid18225 libmd_psr.so.1 yf_sha1 entry 55729 pid18225 libmd_psr.so.1 yf_sha1_multiblock entry 55730 pid18225 libmd_psr.so.1 yf_md5 entry 55731 pid18225 libmd_psr.so.1 yf_md5_multiblock entry 55732 pid18225 pkcs11_softtoken_extra.so.1 yf_aes_instructions_present entry 55733 pid18225 pkcs11_softtoken_extra.so.1 rijndael_key_setup_enc_yf entry 55734 pid18225 pkcs11_softtoken_extra.so.1 yf_aes_expand128 entry 55735 pid18225 pkcs11_softtoken_extra.so.1 yf_aes_encrypt128 entry 55736 pid18225 pkcs11_softtoken_extra.so.1 yf_aes_decrypt128 entry 55737 pid18225 pkcs11_softtoken_extra.so.1 yf_aes_expand192 entry 55738 pid18225 pkcs11_softtoken_extra.so.1 yf_aes_encrypt192 entry 55739 pid18225 pkcs11_softtoken_extra.so.1 yf_aes_decrypt192 entry 55740 pid18225 pkcs11_softtoken_extra.so.1 yf_aes_expand256 entry 55741 pid18225 pkcs11_softtoken_extra.so.1 yf_aes_encrypt256 entry 55742 pid18225 pkcs11_softtoken_extra.so.1 yf_aes_decrypt256 entry 55743 pid18225 pkcs11_softtoken_extra.so.1 yf_aes128_load_keys_for_encrypt entry 55744 pid18225 pkcs11_softtoken_extra.so.1 yf_aes192_load_keys_for_encrypt entry 55745 pid18225 pkcs11_softtoken_extra.so.1 yf_aes256_load_keys_for_encrypt entry 55746 pid18225 pkcs11_softtoken_extra.so.1 yf_aes128_ecb_encrypt entry 55747 pid18225 pkcs11_softtoken_extra.so.1 yf_aes192_ecb_encrypt entry 55748 pid18225 pkcs11_softtoken_extra.so.1 yf_aes256_ecb_encrypt entry 55749 pid18225 pkcs11_softtoken_extra.so.1 yf_aes128_cbc_encrypt entry 55750 pid18225 pkcs11_softtoken_extra.so.1 yf_aes192_cbc_encrypt entry 55751 pid18225 pkcs11_softtoken_extra.so.1 yf_aes256_cbc_encrypt entry 55752 pid18225 pkcs11_softtoken_extra.so.1 yf_aes128_ctr_crypt entry 55753 pid18225 pkcs11_softtoken_extra.so.1 yf_aes192_ctr_crypt entry 55754 pid18225 pkcs11_softtoken_extra.so.1 yf_aes256_ctr_crypt entry 55755 pid18225 pkcs11_softtoken_extra.so.1 yf_aes128_cfb128_encrypt entry 55756 pid18225 pkcs11_softtoken_extra.so.1 yf_aes192_cfb128_encrypt entry 55757 pid18225 pkcs11_softtoken_extra.so.1 yf_aes256_cfb128_encrypt entry 55758 pid18225 pkcs11_softtoken_extra.so.1 yf_aes128_load_keys_for_decrypt entry 55759 pid18225 pkcs11_softtoken_extra.so.1 yf_aes192_load_keys_for_decrypt entry 55760 pid18225 pkcs11_softtoken_extra.so.1 yf_aes256_load_keys_for_decrypt entry 55761 pid18225 pkcs11_softtoken_extra.so.1 yf_aes128_ecb_decrypt entry 55762 pid18225 pkcs11_softtoken_extra.so.1 yf_aes192_ecb_decrypt entry 55763 pid18225 pkcs11_softtoken_extra.so.1 yf_aes256_ecb_decrypt entry 55764 pid18225 pkcs11_softtoken_extra.so.1 yf_aes128_cbc_decrypt entry 55765 pid18225 pkcs11_softtoken_extra.so.1 yf_aes192_cbc_decrypt entry 55766 pid18225 pkcs11_softtoken_extra.so.1 yf_aes256_cbc_decrypt entry 55767 pid18225 pkcs11_softtoken_extra.so.1 yf_aes128_cfb128_decrypt entry 55768 pid18225 pkcs11_softtoken_extra.so.1 yf_aes192_cfb128_decrypt entry 55769 pid18225 pkcs11_softtoken_extra.so.1 yf_aes256_cfb128_decrypt entry 55771 pid18225 pkcs11_softtoken_extra.so.1 yf_des_instructions_present entry 55772 pid18225 pkcs11_softtoken_extra.so.1 yf_des_expand entry 55773 pid18225 pkcs11_softtoken_extra.so.1 yf_des_encrypt entry 55774 pid18225 pkcs11_softtoken_extra.so.1 yf_mpmul_present entry 55775 pid18225 pkcs11_softtoken_extra.so.1 yf_montmul_present entry 55776 pid18225 pkcs11_softtoken_extra.so.1 mm_yf_montmul entry 55777 pid18225 pkcs11_softtoken_extra.so.1 mm_yf_montsqr entry 55778 pid18225 pkcs11_softtoken_extra.so.1 mm_yf_restore_func entry 55779 pid18225 pkcs11_softtoken_extra.so.1 mm_yf_ret_from_mont_func entry 55780 pid18225 pkcs11_softtoken_extra.so.1 mm_yf_execute_slp entry 55781 pid18225 pkcs11_softtoken_extra.so.1 big_modexp_ncp_yf entry 55782 pid18225 pkcs11_softtoken_extra.so.1 big_mont_mul_yf entry 55783 pid18225 pkcs11_softtoken_extra.so.1 mpmul_arr_yf entry 55784 pid18225 pkcs11_softtoken_extra.so.1 big_mp_mul_yf entry 55785 pid18225 pkcs11_softtoken_extra.so.1 mpm_yf_mpmul entry 55786 pid18225 libns-httpd40.so nsapi_rsa_set_priv_fn entry ... 55795 pid18225 libnss3.so prepare_rsa_priv_key_export_for_asn1 entry 55796 pid18225 libresolv.so.2 sunw_dst_rsaref_init entry 55797 pid18225 libnssutil3.so NSS_Get_SEC_UniversalStringTemplate entry ... 55813 pid18225 libsoftokn3.so prepare_low_rsa_priv_key_for_asn1 entry 55814 pid18225 libsoftokn3.so rsa_FormatOneBlock entry 55815 pid18225 libsoftokn3.so rsa_FormatBlock entry 55816 pid18225 libnssdbm3.so lg_prepare_low_rsa_priv_key_for_asn1 entry 55817 pid18225 libfreebl_32fpu_3.so rsa_build_from_primes entry 55818 pid18225 libfreebl_32fpu_3.so rsa_is_prime entry 55819 pid18225 libfreebl_32fpu_3.so rsa_get_primes_from_exponents entry 55820 pid18225 libfreebl_32fpu_3.so rsa_PrivateKeyOpNoCRT entry 55821 pid18225 libfreebl_32fpu_3.so rsa_PrivateKeyOpCRTNoCheck entry 55822 pid18225 libfreebl_32fpu_3.so rsa_PrivateKeyOpCRTCheckedPubKey entry 55823 pid18225 pkcs11_kernel.so.1 key_gen_rsa_by_value entry 55824 pid18225 pkcs11_kernel.so.1 get_rsa_private_key entry 55825 pid18225 pkcs11_kernel.so.1 get_rsa_public_key entry 55826 pid18225 pkcs11_softtoken_extra.so.1 soft_rsa_encrypt entry 55827 pid18225 pkcs11_softtoken_extra.so.1 soft_rsa_decrypt entry 55828 pid18225 pkcs11_softtoken_extra.so.1 soft_rsa_crypt_init_common entry 55829 pid18225 pkcs11_softtoken_extra.so.1 soft_rsa_encrypt_common entry 55830 pid18225 pkcs11_softtoken_extra.so.1 soft_rsa_decrypt_common entry 55831 pid18225 pkcs11_softtoken_extra.so.1 soft_rsa_sign_verify_init_common entry 55832 pid18225 pkcs11_softtoken_extra.so.1 soft_rsa_sign_common entry 55833 pid18225 pkcs11_softtoken_extra.so.1 soft_rsa_verify_common entry 55834 pid18225 pkcs11_softtoken_extra.so.1 generate_rsa_key entry 55835 pid18225 pkcs11_softtoken_extra.so.1 soft_rsa_genkey_pair entry 55836 pid18225 pkcs11_softtoken_extra.so.1 get_rsa_sha1_prefix entry 55837 pid18225 pkcs11_softtoken_extra.so.1 soft_rsa_digest_sign_common entry 55838 pid18225 pkcs11_softtoken_extra.so.1 soft_rsa_digest_verify_common entry 55839 pid18225 pkcs11_softtoken_extra.so.1 soft_rsa_verify_recover entry 55840 pid18225 pkcs11_softtoken_extra.so.1 rsa_pri_to_asn1 entry 55841 pid18225 pkcs11_softtoken_extra.so.1 asn1_to_rsa_pri entry 55842 pid18225 pkcs11_softtoken_extra.so.1 soft_encrypt_rsa_pkcs_encode entry 55843 pid18225 pkcs11_softtoken_extra.so.1 soft_decrypt_rsa_pkcs_decode entry 55844 pid18225 pkcs11_softtoken_extra.so.1 soft_sign_rsa_pkcs_encode entry 55845 pid18225 pkcs11_softtoken_extra.so.1 soft_verify_rsa_pkcs_decode entry 55770 profile tick-1sec

  Read the article

• Oracle Releases New Mainframe Re-Hosting in Oracle Tuxedo 11g

  - by Jason Williamson

  I'm excited to say that we've released our next generation of Re-hosting in 11g. In fact I'm doing some hands-on labs now for our Systems Integrators in Italy in a couple of weeks and targeting Latin America next month. If you are an SI, or Rehosting firm and are looking to become an Oracle Partner or get a better understanding of Tuxedo and how to use the workbench for rehosting...drop me a line. Oracle Tuxedo Application Runtime for CICS and Batch 11g provides a CICS API emulation and Batch environment that exploits the full range of Oracle Tuxedo's capabilities. Re-hosted applications run in a multi-node, grid environment with centralized production control. Also, enterprise integration of CICS application services benefits from an open and SOA-enabled framework. Key features include: CICS Application Runtime: Can run IBM CICS applications unchanged in an application grid, which enables the distribution of large workloads across multiple processors and nodes. This simplifies CICS administration and can scale to over 100,000 users and over 50,000 transactions per second. 3270 Terminal Server: Protects business users from change through support for tn3270 terminal emulation. Distributed CICS Resource Management: Simplifies deployment and administration by allowing customers to run CICS regions in a distributed configuration. Batch Application Runtime: Provides robust IBM JES-like job management that enables local or remote job submissions. In addition, distributed batch initiators can enable parallelization of jobs and support fail-over, shortening the batch window and helping to meet stringent SLAs. Batch Execution Environment: Helps to run IBM batch unchanged and also supports JCL functionality and all common batch utilities. Oracle Tuxedo Application Rehosting Workbench 11g provides a set of automated migration tools integrated around a central repository. The tools provide high precision which results in very low error rates and the ability to handle large applications. This enables less expensive, low-risk migration projects. Key capabilities include: Workbench Repository and Cataloguer: Ensures integrity of the migrated application assets through full dependency checking. The Cataloguer generates and maintains all relevant meta-data on source and target components. File Migrator: Supports reliable migration of datasets and flat files to an ISAM or Oracle Database 11g. This is done through the automated migration utilities for data unloading, reloading and validation. It also generates logical access functions to shield developers from data repository changes. DB2 Migrator: Similarly, this tool automates the migration of DB2 schema and data to Oracle Database 11g. COBOL Migrator: Supports migration of IBM mainframe COBOL assets (OLTP and Batch) to open systems. Adapts programs for compiler dialects and data access variations. JCL Migrator: Supports migration of IBM JCL jobs to a Tuxedo ART environment, maintaining the flow and characteristics of batch jobs.

  Read the article

• World Record Performance on PeopleSoft Enterprise Financials Benchmark on SPARC T4-2

  - by Brian

  Oracle's SPARC T4-2 server achieved World Record performance on Oracle's PeopleSoft Enterprise Financials 9.1 executing 20 Million Journals lines in 8.92 minutes on Oracle Database 11g Release 2 running on Oracle Solaris 11. This is the first result published on this version of the benchmark. The SPARC T4-2 server was able to process 20 million general ledger journal edit and post batch jobs in 8.92 minutes on this benchmark that reflects a large customer environment that utilizes a back-end database of nearly 500 GB. This benchmark demonstrates that the SPARC T4-2 server with PeopleSoft Financials 9.1 can easily process 100 million journal lines in less than 1 hour. The SPARC T4-2 server delivered more than 146 MB/sec of IO throughput with Oracle Database 11g running on Oracle Solaris 11. Performance Landscape Results are presented for PeopleSoft Financials Benchmark 9.1. Results obtained with PeopleSoft Financials Benchmark 9.1 are not comparable to the the previous version of the benchmark, PeopleSoft Financials Benchmark 9.0, due to significant change in data model and supports only batch. PeopleSoft Financials Benchmark, Version 9.1 Solution Under Test Batch (min) SPARC T4-2 (2 x SPARC T4, 2.85 GHz) 8.92 Results from PeopleSoft Financials Benchmark 9.0. PeopleSoft Financials Benchmark, Version 9.0 Solution Under Test Batch (min) Batch with Online (min) SPARC Enterprise M4000 (Web/App) SPARC Enterprise M5000 (DB) 33.09 34.72 SPARC T3-1 (Web/App) SPARC Enterprise M5000 (DB) 35.82 37.01 Configuration Summary Hardware Configuration: 1 x SPARC T4-2 server 2 x SPARC T4 processors, 2.85 GHz 128 GB memory Storage Configuration: 1 x Sun Storage F5100 Flash Array (for database and redo logs) 2 x Sun Storage 2540-M2 arrays and 2 x Sun Storage 2501-M2 arrays (for backup) Software Configuration: Oracle Solaris 11 11/11 SRU 7.5 Oracle Database 11g Release 2 (11.2.0.3) PeopleSoft Financials 9.1 Feature Pack 2 PeopleSoft Supply Chain Management 9.1 Feature Pack 2 PeopleSoft PeopleTools 8.52 latest patch - 8.52.03 Oracle WebLogic Server 10.3.5 Java Platform, Standard Edition Development Kit 6 Update 32 Benchmark Description The PeopleSoft Enterprise Financials 9.1 benchmark emulates a large enterprise that processes and validates a large number of financial journal transactions before posting the journal entry to the ledger. The validation process certifies that the journal entries are accurate, ensuring that ChartFields values are valid, debits and credits equal out, and inter/intra-units are balanced. Once validated, the entries are processed, ensuring that each journal line posts to the correct target ledger, and then changes the journal status to posted. In this benchmark, the Journal Edit & Post is set up to edit and post both Inter-Unit and Regular multi-currency journals. The benchmark processes 20 million journal lines using AppEngine for edits and Cobol for post processes. See Also Oracle PeopleSoft Benchmark White Papers oracle.com SPARC T4-2 Server oracle.com OTN PeopleSoft Financial Management oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 1 October 2012.

  Read the article

• ASP.Net 4.5 Garbage Collection Improvement

  - by Aligned

  Originally posted on: http://geekswithblogs.net/Aligned/archive/2013/06/24/asp.net-4.5-garbage-collection-improvement.aspxI just read Five Great .NET Framework 4.5 Features on CodeProject by Shivprasad koirala. Feature 5 in his article mentions the GC background cleanup and has a good explanation of the work the GC has to do for ASP.Net on the server. “Garbage collector is one real heavy task in a .NET application. And it becomes heavier when it is an ASP.NET application. ASP.NET applications run on the server and a lot of clients send requests to the server thus creating loads of objects, making the GC really work hard for cleaning up unwanted objects.” “To overcome the above problem, server GC was introduced. In server GC there is one more thread created which runs in the background. This thread works in the background and keeps cleaning…objects thus minimizing the load on the main GC thread. Due to double GC threads running, the main application threads are less suspended, thus increasing application throughput. To enable server GC, we need to use the gcServer XML tag and enable it to true.” <configuration> <runtime> <gcServer enabled="true"/> </runtime> </configuration> This is not done by default. The MSDN information page says “There are only two garbage collection options, workstation or server. For single-processor computers, the default workstation garbage collection should be the fastest option. Either workstation or server can be used for two-processor computers. Server garbage collection should be the fastest option for more than two processors. Use the GCSettingsIsServerGC property to determine if server garbage collection is enabled.” “In the .NET Framework 4 and earlier versions, concurrent garbage collection is not available when server garbage collection is enabled. Starting with the .NET Framework 4.5, server garbage collection is concurrent. To use non-concurrent server garbage collection, set the <gcServer> element to true and the <gcConcurrent> element to false. “ So if you’re using ASP.Net 4.5 and have a multi-core server, you should try turning on the Server Garbage Collection and do some profiling to see if it improves the performance of your site.

  Read the article

• PTLQueue : a scalable bounded-capacity MPMC queue

  - by Dave

  Title: Fast concurrent MPMC queue -- I've used the following concurrent queue algorithm enough that it warrants a blog entry. I'll sketch out the design of a fast and scalable multiple-producer multiple-consumer (MPSC) concurrent queue called PTLQueue. The queue has bounded capacity and is implemented via a circular array. Bounded capacity can be a useful property if there's a mismatch between producer rates and consumer rates where an unbounded queue might otherwise result in excessive memory consumption by virtue of the container nodes that -- in some queue implementations -- are used to hold values. A bounded-capacity queue can provide flow control between components. Beware, however, that bounded collections can also result in resource deadlock if abused. The put() and take() operators are partial and wait for the collection to become non-full or non-empty, respectively. Put() and take() do not allocate memory, and are not vulnerable to the ABA pathologies. The PTLQueue algorithm can be implemented equally well in C/C++ and Java. Partial operators are often more convenient than total methods. In many use cases if the preconditions aren't met, there's nothing else useful the thread can do, so it may as well wait via a partial method. An exception is in the case of work-stealing queues where a thief might scan a set of queues from which it could potentially steal. Total methods return ASAP with a success-failure indication. (It's tempting to describe a queue or API as blocking or non-blocking instead of partial or total, but non-blocking is already an overloaded concurrency term. Perhaps waiting/non-waiting or patient/impatient might be better terms). It's also trivial to construct partial operators by busy-waiting via total operators, but such constructs may be less efficient than an operator explicitly and intentionally designed to wait. A PTLQueue instance contains an array of slots, where each slot has volatile Turn and MailBox fields. The array has power-of-two length allowing mod/div operations to be replaced by masking. We assume sensible padding and alignment to reduce the impact of false sharing. (On x86 I recommend 128-byte alignment and padding because of the adjacent-sector prefetch facility). Each queue also has PutCursor and TakeCursor cursor variables, each of which should be sequestered as the sole occupant of a cache line or sector. You can opt to use 64-bit integers if concerned about wrap-around aliasing in the cursor variables. Put(null) is considered illegal, but the caller or implementation can easily check for and convert null to a distinguished non-null proxy value if null happens to be a value you'd like to pass. Take() will accordingly convert the proxy value back to null. An advantage of PTLQueue is that you can use atomic fetch-and-increment for the partial methods. We initialize each slot at index I with (Turn=I, MailBox=null). Both cursors are initially 0. All shared variables are considered "volatile" and atomics such as CAS and AtomicFetchAndIncrement are presumed to have bidirectional fence semantics. Finally T is the templated type. I've sketched out a total tryTake() method below that allows the caller to poll the queue. tryPut() has an analogous construction. Zebra stripping : alternating row colors for nice-looking code listings. See also google code "prettify" : https://code.google.com/p/google-code-prettify/ Prettify is a javascript module that yields the HTML/CSS/JS equivalent of pretty-print. -- pre:nth-child(odd) { background-color:#ff0000; } pre:nth-child(even) { background-color:#0000ff; } border-left: 11px solid #ccc; margin: 1.7em 0 1.7em 0.3em; background-color:#BFB; font-size:12px; line-height:65%; " // PTLQueue : Put(v) : // producer : partial method - waits as necessary assert v != null assert Mask = 1 && (Mask & (Mask+1)) == 0 // Document invariants // doorway step // Obtain a sequence number -- ticket // As a practical concern the ticket value is temporally unique // The ticket also identifies and selects a slot auto tkt = AtomicFetchIncrement (&PutCursor, 1) slot * s = &Slots[tkt & Mask] // waiting phase : // wait for slot's generation to match the tkt value assigned to this put() invocation. // The "generation" is implicitly encoded as the upper bits in the cursor // above those used to specify the index : tkt div (Mask+1) // The generation serves as an epoch number to identify a cohort of threads // accessing disjoint slots while s-Turn != tkt : Pause assert s-MailBox == null s-MailBox = v // deposit and pass message Take() : // consumer : partial method - waits as necessary auto tkt = AtomicFetchIncrement (&TakeCursor,1) slot * s = &Slots[tkt & Mask] // 2-stage waiting : // First wait for turn for our generation // Acquire exclusive "take" access to slot's MailBox field // Then wait for the slot to become occupied while s-Turn != tkt : Pause // Concurrency in this section of code is now reduced to just 1 producer thread // vs 1 consumer thread. // For a given queue and slot, there will be most one Take() operation running // in this section. // Consumer waits for producer to arrive and make slot non-empty // Extract message; clear mailbox; advance Turn indicator // We have an obvious happens-before relation : // Put(m) happens-before corresponding Take() that returns that same "m" for T v = s-MailBox if v != null : s-MailBox = null ST-ST barrier s-Turn = tkt + Mask + 1 // unlock slot to admit next producer and consumer return v Pause tryTake() : // total method - returns ASAP with failure indication for auto tkt = TakeCursor slot * s = &Slots[tkt & Mask] if s-Turn != tkt : return null T v = s-MailBox // presumptive return value if v == null : return null // ratify tkt and v values and commit by advancing cursor if CAS (&TakeCursor, tkt, tkt+1) != tkt : continue s-MailBox = null ST-ST barrier s-Turn = tkt + Mask + 1 return v The basic idea derives from the Partitioned Ticket Lock "PTL" (US20120240126-A1) and the MultiLane Concurrent Bag (US8689237). The latter is essentially a circular ring-buffer where the elements themselves are queues or concurrent collections. You can think of the PTLQueue as a partitioned ticket lock "PTL" augmented to pass values from lock to unlock via the slots. Alternatively, you could conceptualize of PTLQueue as a degenerate MultiLane bag where each slot or "lane" consists of a simple single-word MailBox instead of a general queue. Each lane in PTLQueue also has a private Turn field which acts like the Turn (Grant) variables found in PTL. Turn enforces strict FIFO ordering and restricts concurrency on the slot mailbox field to at most one simultaneous put() and take() operation. PTL uses a single "ticket" variable and per-slot Turn (grant) fields while MultiLane has distinct PutCursor and TakeCursor cursors and abstract per-slot sub-queues. Both PTL and MultiLane advance their cursor and ticket variables with atomic fetch-and-increment. PTLQueue borrows from both PTL and MultiLane and has distinct put and take cursors and per-slot Turn fields. Instead of a per-slot queues, PTLQueue uses a simple single-word MailBox field. PutCursor and TakeCursor act like a pair of ticket locks, conferring "put" and "take" access to a given slot. PutCursor, for instance, assigns an incoming put() request to a slot and serves as a PTL "Ticket" to acquire "put" permission to that slot's MailBox field. To better explain the operation of PTLQueue we deconstruct the operation of put() and take() as follows. Put() first increments PutCursor obtaining a new unique ticket. That ticket value also identifies a slot. Put() next waits for that slot's Turn field to match that ticket value. This is tantamount to using a PTL to acquire "put" permission on the slot's MailBox field. Finally, having obtained exclusive "put" permission on the slot, put() stores the message value into the slot's MailBox. Take() similarly advances TakeCursor, identifying a slot, and then acquires and secures "take" permission on a slot by waiting for Turn. Take() then waits for the slot's MailBox to become non-empty, extracts the message, and clears MailBox. Finally, take() advances the slot's Turn field, which releases both "put" and "take" access to the slot's MailBox. Note the asymmetry : put() acquires "put" access to the slot, but take() releases that lock. At any given time, for a given slot in a PTLQueue, at most one thread has "put" access and at most one thread has "take" access. This restricts concurrency from general MPMC to 1-vs-1. We have 2 ticket locks -- one for put() and one for take() -- each with its own "ticket" variable in the form of the corresponding cursor, but they share a single "Grant" egress variable in the form of the slot's Turn variable. Advancing the PutCursor, for instance, serves two purposes. First, we obtain a unique ticket which identifies a slot. Second, incrementing the cursor is the doorway protocol step to acquire the per-slot mutual exclusion "put" lock. The cursors and operations to increment those cursors serve double-duty : slot-selection and ticket assignment for locking the slot's MailBox field. At any given time a slot MailBox field can be in one of the following states: empty with no pending operations -- neutral state; empty with one or more waiting take() operations pending -- deficit; occupied with no pending operations; occupied with one or more waiting put() operations -- surplus; empty with a pending put() or pending put() and take() operations -- transitional; or occupied with a pending take() or pending put() and take() operations -- transitional. The partial put() and take() operators can be implemented with an atomic fetch-and-increment operation, which may confer a performance advantage over a CAS-based loop. In addition we have independent PutCursor and TakeCursor cursors. Critically, a put() operation modifies PutCursor but does not access the TakeCursor and a take() operation modifies the TakeCursor cursor but does not access the PutCursor. This acts to reduce coherence traffic relative to some other queue designs. It's worth noting that slow threads or obstruction in one slot (or "lane") does not impede or obstruct operations in other slots -- this gives us some degree of obstruction isolation. PTLQueue is not lock-free, however. The implementation above is expressed with polite busy-waiting (Pause) but it's trivial to implement per-slot parking and unparking to deschedule waiting threads. It's also easy to convert the queue to a more general deque by replacing the PutCursor and TakeCursor cursors with Left/Front and Right/Back cursors that can move either direction. Specifically, to push and pop from the "left" side of the deque we would decrement and increment the Left cursor, respectively, and to push and pop from the "right" side of the deque we would increment and decrement the Right cursor, respectively. We used a variation of PTLQueue for message passing in our recent OPODIS 2013 paper. ul { list-style:none; padding-left:0; padding:0; margin:0; margin-left:0; } ul#myTagID { padding: 0px; margin: 0px; list-style:none; margin-left:0;} -- -- There's quite a bit of related literature in this area. I'll call out a few relevant references: Wilson's NYU Courant Institute UltraComputer dissertation from 1988 is classic and the canonical starting point : Operating System Data Structures for Shared-Memory MIMD Machines with Fetch-and-Add. Regarding provenance and priority, I think PTLQueue or queues effectively equivalent to PTLQueue have been independently rediscovered a number of times. See CB-Queue and BNPBV, below, for instance. But Wilson's dissertation anticipates the basic idea and seems to predate all the others. Gottlieb et al : Basic Techniques for the Efficient Coordination of Very Large Numbers of Cooperating Sequential Processors Orozco et al : CB-Queue in Toward high-throughput algorithms on many-core architectures which appeared in TACO 2012. Meneghin et al : BNPVB family in Performance evaluation of inter-thread communication mechanisms on multicore/multithreaded architecture Dmitry Vyukov : bounded MPMC queue (highly recommended) Alex Otenko : US8607249 (highly related). John Mellor-Crummey : Concurrent queues: Practical fetch-and-phi algorithms. Technical Report 229, Department of Computer Science, University of Rochester Thomasson : FIFO Distributed Bakery Algorithm (very similar to PTLQueue). Scott and Scherer : Dual Data Structures I'll propose an optimization left as an exercise for the reader. Say we wanted to reduce memory usage by eliminating inter-slot padding. Such padding is usually "dark" memory and otherwise unused and wasted. But eliminating the padding leaves us at risk of increased false sharing. Furthermore lets say it was usually the case that the PutCursor and TakeCursor were numerically close to each other. (That's true in some use cases). We might still reduce false sharing by incrementing the cursors by some value other than 1 that is not trivially small and is coprime with the number of slots. Alternatively, we might increment the cursor by one and mask as usual, resulting in a logical index. We then use that logical index value to index into a permutation table, yielding an effective index for use in the slot array. The permutation table would be constructed so that nearby logical indices would map to more distant effective indices. (Open question: what should that permutation look like? Possibly some perversion of a Gray code or De Bruijn sequence might be suitable). As an aside, say we need to busy-wait for some condition as follows : "while C == 0 : Pause". Lets say that C is usually non-zero, so we typically don't wait. But when C happens to be 0 we'll have to spin for some period, possibly brief. We can arrange for the code to be more machine-friendly with respect to the branch predictors by transforming the loop into : "if C == 0 : for { Pause; if C != 0 : break; }". Critically, we want to restructure the loop so there's one branch that controls entry and another that controls loop exit. A concern is that your compiler or JIT might be clever enough to transform this back to "while C == 0 : Pause". You can sometimes avoid this by inserting a call to a some type of very cheap "opaque" method that the compiler can't elide or reorder. On Solaris, for instance, you could use :"if C == 0 : { gethrtime(); for { Pause; if C != 0 : break; }}". It's worth noting the obvious duality between locks and queues. If you have strict FIFO lock implementation with local spinning and succession by direct handoff such as MCS or CLH,then you can usually transform that lock into a queue. Hidden commentary and annotations - invisible : * And of course there's a well-known duality between queues and locks, but I'll leave that topic for another blog post. * Compare and contrast : PTLQ vs PTL and MultiLane * Equivalent : Turn; seq; sequence; pos; position; ticket * Put = Lock; Deposit Take = identify and reserve slot; wait; extract & clear; unlock * conceptualize : Distinct PutLock and TakeLock implemented as ticket lock or PTL Distinct arrival cursors but share per-slot "Turn" variable provides exclusive role-based access to slot's mailbox field put() acquires exclusive access to a slot for purposes of "deposit" assigns slot round-robin and then acquires deposit access rights/perms to that slot take() acquires exclusive access to slot for purposes of "withdrawal" assigns slot round-robin and then acquires withdrawal access rights/perms to that slot At any given time, only one thread can have withdrawal access to a slot at any given time, only one thread can have deposit access to a slot Permissible for T1 to have deposit access and T2 to simultaneously have withdrawal access * round-robin for the purposes of; role-based; access mode; access role mailslot; mailbox; allocate/assign/identify slot rights; permission; license; access permission; * PTL/Ticket hybrid Asymmetric usage ; owner oblivious lock-unlock pairing K-exclusion add Grant cursor pass message m from lock to unlock via Slots[] array Cursor performs 2 functions : + PTL ticket + Assigns request to slot in round-robin fashion Deconstruct protocol : explication put() : allocate slot in round-robin fashion acquire PTL for "put" access store message into slot associated with PTL index take() : Acquire PTL for "take" access // doorway step seq = fetchAdd (&Grant, 1) s = &Slots[seq & Mask] // waiting phase while s-Turn != seq : pause Extract : wait for s-mailbox to be full v = s-mailbox s-mailbox = null Release PTL for both "put" and "take" access s-Turn = seq + Mask + 1 * Slot round-robin assignment and lock "doorway" protocol leverage the same cursor and FetchAdd operation on that cursor FetchAdd (&Cursor,1) + round-robin slot assignment and dispersal + PTL/ticket lock "doorway" step waiting phase is via "Turn" field in slot * PTLQueue uses 2 cursors -- put and take. Acquire "put" access to slot via PTL-like lock Acquire "take" access to slot via PTL-like lock 2 locks : put and take -- at most one thread can access slot's mailbox Both locks use same "turn" field Like multilane : 2 cursors : put and take slot is simple 1-capacity mailbox instead of queue Borrow per-slot turn/grant from PTL Provides strict FIFO Lock slot : put-vs-put take-vs-take at most one put accesses slot at any one time at most one put accesses take at any one time reduction to 1-vs-1 instead of N-vs-M concurrency Per slot locks for put/take Release put/take by advancing turn * is instrumental in ... * P-V Semaphore vs lock vs K-exclusion * See also : FastQueues-excerpt.java dice-etc/queue-mpmc-bounded-blocking-circular-xadd/ * PTLQueue is the same as PTLQB - identical * Expedient return; ASAP; prompt; immediately * Lamport's Bakery algorithm : doorway step then waiting phase Threads arriving at doorway obtain a unique ticket number Threads enter in ticket order * In the terminology of Reed and Kanodia a ticket lock corresponds to the busy-wait implementation of a semaphore using an eventcount and a sequencer It can also be thought of as an optimization of Lamport's bakery lock was designed for fault-tolerance rather than performance Instead of spinning on the release counter, processors using a bakery lock repeatedly examine the tickets of their peers --

  Read the article

• Indie Software Developers - How do I handle taxes?

  - by Connor

  I apologize if this is the wrong site to post on, perhaps someone could point me to the proper place if it is not. Hello, I am 17 years old and currently develop applications/games for Android and iPhone as well as develop internet websites and code a variety of my own projects. I have been very fortunate and have made a large amount of money and continue to make money online to the point where I do not need a stable job, though I'd like to get one after college. I've never held a job anywhere, and have never had to pay taxes. I'm coming into a lot of issues and I am quite confused. I get money from MANY sources- 15 different advertisement networks(!), 4 different payment processors, 5 different affiliate networks and a variety of other sources. All of them pay to different places and at different times (checking account, PayPal, reloadable debit card, ect.) I essentially have a list in a Notepad with names and login information for each source. I have also created a PHP script that uses cURL to grab all the revenue from each service, add it all up, then text me every few hours so I can keep track. It's a mess, but it's working OK, and I can create custom reports (for IRS?). But enough of that, my questions are about taxes in the US, and how indie developers handle it all. I'm at slightly over $250k so far this year, with negligible earnings last year. I have it all stockpiled in a bank account and haven't touched it, I'm a bit scared to. What do I file as? A sole proprietor, a business, just a regular person? How can I handle all of the different revenue sources? (AdSense, CJ, LinkShare) So far none of them have sent me any paperwork on taxes and I've read that I'm supposed to pay taxes quarterly? Do I need paperwork from EACH source to file? Or can I just say I got $x total and that'd be it? What percentage do you pay of total earnings? Average? Should I create an LLC? A corporation? Or stay as a developer? What would be the cheapest options? Could I go to jail? I haven't touched the money except a few dollars to help my parents pay the mortgage once. Any insight would be great. My parents have no idea what I should do, both have no forms of higher education and both have no high school diploma's. They just live day by day with simple jobs. I appreciate any help or experience with this.

  Read the article

• New Wine in New Bottles

  - by Tony Davis

  How many people, when their car shows signs of wear and tear, would consider upgrading the engine and keeping the shell? Even if you're cash-strapped, you'll soon work out the subtlety of the economics, the cost of sudden breakdowns, the precious time lost coping with the hassle, and the low 'book value'. You'll generally buy a new car. The same philosophy should apply to database systems. Mainstream support for SQL Server 2005 ends on April 12; many DBAS, if they haven't done so already, will be considering the migration to SQL Server 2008 R2. Hopefully, that upgrade plan will include a fresh install of the operating system on brand new hardware. SQL Server 2008 R2 and Windows Server 2008 R2 are designed to work together. The improved architecture, processing power, and hyper-threading capabilities of modern processors will dramatically improve the performance of many SQL Server workloads, and allow consolidation opportunities. Of course, there will be many DBAs smiling ruefully at the suggestion of such indulgence. This is nothing like the real world, this halcyon place where hardware and software budgets are limitless, development and testing resources are plentiful, and third party vendors immediately certify their applications for the latest-and-greatest platform! As with cars, or any other technology, the justification for a complete upgrade is complex. With Servers, the extra cost at time of upgrade will generally pay you back in terms of the increased performance of your business applications, reduced maintenance costs, training costs and downtime. Also, if you plan and design carefully, it's possible to offset hardware costs with reduced SQL Server licence costs. In his forthcoming SQL Server Hardware book, Glenn Berry describes a recent case where he was able to replace 4 single-socket database servers with one two-socket server, saving about $90K in hardware costs and $350K in SQL Server license costs. Of course, there are exceptions. If you do have a stable, reliable, secure SQL Server 6.5 system that still admirably meets the needs of a specific business requirement, and has no security vulnerabilities, then by all means leave it alone. Why upgrade just for the sake of it? However, as soon as a system shows sign of being unfit for purpose, or is moving out of mainstream support, the ruthless DBA will make the strongest possible case for a belts-and-braces upgrade. We'd love to hear what you think. What does your typical upgrade path look like? What are the major obstacles? Cheers, Tony.

  Read the article

• Virtual Box - How to open a .VDI Virtual Machine

  - by [email protected]

  TUESDAY, APRIL 27, 2010 How to open a .VDI Virtual MachineSometimes someone share with us one Virtual machine with extension .VDI, after that we can wonder how and what with?Well the answer is... It is a VirtualBox - Virtual Machine. If you have not downloaded it you can do this easily just follow this post.http://listeningoracle.blogspot.com/2010/04/que-es-virtualbox.htmlorhttp://oracleoforacle.wordpress.com/2010/04/14/ques-es-virtualbox/Ok, Now with VirtualBox Installed open it and proceed with the following:1. Open the Virtual File Manager.2. Click on Actions ? Add and select the .VDI fileClick "Ok"3. Now we can register the new Virtual Machine - Click New, and Click Next4. Write down a Name for the virtual Machine a proceed to select a Operating System and Version. (In this case it is a Linux (Oracle Enterprise Linux or RedHat)Click Next5. Select the memory amount base for the Virtual Machine(Minimal 1280 for our case) - Click Next6. Select the Disk 11GR2_OEL5_32GB.vdi it was added in the virtual media manager in the step 2.Dont forget let selected Boot hard Disk (Primary Master) . Given it is the only disk assigned to the virtual machine.Click Next7. Click Finish8. This step is important. Once you have click on the settings Button. 9. On General option click the advanced settings. Here you must change the default directory to save your Snapshots; my recommendation set it to the same directory where the .Vdi file is. Otherwise you can have the same Virtual Machine and its snapshots in different paths.10. Now Click on System, and proceed to assign the correct memory (If you did not before)Note: Enable "Enable IO APIC" if you are planning to assign more than one CPU to the Virtual Machine.Define the processors for the Virtual machine. If you processor is dual core choose 211. Select the video memory amount you want to assign to the Virtual Machine12. Associated more storage disk to the Virtual machine, if you have more VDI files.(Not our case)The disk must be selected as IDE Primary Master.13. Well you can verify the other options, but with these changes you will be able to start the VM.Note: Sometime the VM owner may share some instructions, if so follow his instructions.14. Finally Start the Virtual Machine (Click > Start)

  Read the article

• links for 2010-03-24

  - by Bob Rhubart

  @dhinchcliffe: When online communities go to work "As we see a growing set of examples of successful online communities in the enterprise space (both internally and externally), the broad outlines are emerging of what is turning into a vital new channel for innovation, business agility, customer relationships, and productive output for most organizations: Online communities as one of the most potent new ways to achieve business objectives, both in terms of cost and quality." -- Dion Hinchcliffe (tags: enterprisearchitecture entarch enterprise2.0 socialmedia) Steven Chan: WebCenter 11g (11.1.1.2) Certified with E-Business Suite Release 12 Steven Chan shares information on WebCenter 11g's (11.1.1.2) certification with Oracle E-Business Suite Release 12, along with a list of certified EBS 12 Platforms (tags: oracle otn enterprise2.0 webcenter ebs) @oraclenerd: 1Z0-052 - Exploring the Oracle Database Architecture Oracle ACE Chet "Oraclenerd" Justice shares a list of resources/documentation covering Oracle Database Architecture. (tags: oracle otn oracleace dba certification architecture) @oraclenerd: 1Z0-052 - Books "I don't believe I have ever purchased a book on or about Oracle. The documentation provided, especially for the database, is top notch. There is so much information available out there if you just know how to find it. Reading AskTom for years didn't hurt either." -- Chet "@oraclenerd" Justice. (tags: otn oracle oracleace certification dba) Lucas Jellema: Castle in the clouds – Building the Connexys SaaS application with Fusion Middleware Oracle ACE Director Lucas Jellema shares the slides from the presentation he and colleague Arne van der Ing submitted for OBUG 2010. (tags: otn oracle oracleace cloud saas obug fusionmiddleware connexys) John Burke: Why Your ERP System Isn't Ready for the Next Evolution of the Enterprise "[ERP] has to become a stealthy modern app to help you quickly adapt to business changes while managing vital information. And through modern middleware it will connect to everything. So yes ERP as we've know it is dead, but long live ERP as a connected application member of the modern enterprise." -- John Burke, Group VP, Applications Business Unit, Oracle (tags: oracle otn entarch erp) Darwin-IT: Postfix for handling mail in your integration solution "It took me some time to understand Postfix. I was quite overwhelmed by the options. And it took me some time to figure out how to configure it for this particular usecase...But as with most other things..it turns out to be simple." -- Martien van den Akker (tags: oracle linux soa postfix) TheServerSide.com: Cameron Purdy at TSSJS 2010: If Java beats C++, what's next? ''It turns out that Java performance is much better on modern architecture. That is because of multicore processors and in-lining.'' -- Cameron Purdy, as quoted in an article by Jack Vaughn (tags: oracle java otn c++)

  Read the article

• Are there deprecated practices for multithread and multiprocessor programming that I should no longer use?

  - by DeveloperDon

  In the early days of FORTRAN and BASIC, essentially all programs were written with GOTO statements. The result was spaghetti code and the solution was structured programming. Similarly, pointers can have difficult to control characteristics in our programs. C++ started with plenty of pointers, but use of references are recommended. Libraries like STL can reduce some of our dependency. There are also idioms to create smart pointers that have better characteristics, and some version of C++ permit references and managed code. Programming practices like inheritance and polymorphism use a lot of pointers behind the scenes (just as for, while, do structured programming generates code filled with branch instructions). Languages like Java eliminate pointers and use garbage collection to manage dynamically allocated data instead of depending on programmers to match all their new and delete statements. In my reading, I have seen examples of multi-process and multi-thread programming that don't seem to use semaphores. Do they use the same thing with different names or do they have new ways of structuring protection of resources from concurrent use? For example, a specific example of a system for multithread programming with multicore processors is OpenMP. It represents a critical region as follows, without the use of semaphores, which seem not to be included in the environment. th_id = omp_get_thread_num(); #pragma omp critical { cout << "Hello World from thread " << th_id << '\n'; } This example is an excerpt from: http://en.wikipedia.org/wiki/OpenMP Alternatively, similar protection of threads from each other using semaphores with functions wait() and signal() might look like this: wait(sem); th_id = get_thread_num(); cout << "Hello World from thread " << th_id << '\n'; signal(sem); In this example, things are pretty simple, and just a simple review is enough to show the wait() and signal() calls are matched and even with a lot of concurrency, thread safety is provided. But other algorithms are more complicated and use multiple semaphores (both binary and counting) spread across multiple functions with complex conditions that can be called by many threads. The consequences of creating deadlock or failing to make things thread safe can be hard to manage. Do these systems like OpenMP eliminate the problems with semaphores? Do they move the problem somewhere else? How do I transform my favorite semaphore using algorithm to not use semaphores anymore?

  Read the article

• The Uganda .NET Usergroup meeting for January 2011 - a look back.

  - by Malisa L. Ncube

  We had a very interesting meeting on Friday 28th last week. We had 10 attendees and two speakers. The first topic presented was Cloud Computing, presented by Allan Rwakatungu @arwakatungu who works with MTN Uganda. He gave a very brilliant outline of how Cloud computing and service oriented applications had begun changing the platform for operating business and the costs it saves because of scalability and elasticity. He went on to demonstrate the steps you would take if you are beginning a new Windows Azure project. He explained the history and evolution of the Windows Azure, SQL Azure and cloud services offered by Amazon and google.com. The attendees had many questions to ask (obviously), but they were all answered very well. We once again thank Allan, for taking time to prepare the presentation and demonstrating for us. We recorded a video on the entire presentation and after doing some editing we will publish it. One wish which was echoed by most members was that Microsoft should open the cloud services and development for Africa. Microsoft currently does not even have servers here in Africa and so far, that does not put African developers in the same platform as other developers in other continents. Now is the time considering the improvements in network speeds and joining of the Seacom network and broadband.   I presented on Parallelism and Multithreading using .NET 4.0, I also gave some details on the language changes in C# 5.0 and the async keyword and the TaskEx class. I explained the Task, Scheduling of parallel tasks and demonstrated problems that may arise from using parallelism inappropriately. I also demonstrated the performance improvements that may be achieved by taking advantage of multi-core processors. You may download the presentation on Parallelism and Multi-threading from here. The resolution of the meeting was that we should meet more than once a month and begin other activities which should be more fun. e.g. Geek Dinner, Geek Beer or CodeCamp. Based on that we all agreed we shall have a mid-month meeting starting from February. Cheers folks! del.icio.us Tags: .net,usergroup,cloud computing,parallelism,multi-threading

  Read the article

• An Unstoppable Force!

  - by TammyBednar

  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Building a high-availability database platform presents unique challenges. Combining servers, storage, networking, OS, firmware, and database is complicated and raises important concerns: Will coordination between multiple SME’s delay deployment? Will it be reliable? Will it scale? Will routine maintenance consume precious IT-staff time? Ultimately, will it work? Enter the Oracle Database Appliance, a complete package of software, server, storage, and networking that’s engineered for simplicity. It saves time and money by simplifying deployment, maintenance, and support of database workloads. Plus, it’s based on Intel Xeon processors to ensure a high level of performance and scalability. Take a look at this video to compare Heather and Ted’s approach to building a server for their Oracle database! http://www.youtube.com/watch?v=os4RDVclWS8 If you missed the “Compare Database Platforms: Build vs. Buy” webcast or want to listen again to find out how Jeff Schulte - Vice President at Yodlee uses Oracle Database Appliance.

  Read the article

• Understanding the levels of computing

  - by RParadox

  Sorry, for my confused question. I'm looking for some pointers. Up to now I have been working mostly with Java and Python on the application layer and I have only a vague understanding of operating systems and hardware. I want to understand much more about the lower levels of computing, but it gets really overwhelming somehow. At university I took a class about microprogramming, i.e. how processors get hard-wired to implement the ASM codes. Up to now I always thought I wouldn't get more done if learned more about the "low level". One question I have is: how is it even possible that hardware gets hidden almost completely from the developer? Is it accurate to say that the operating system is a software layer for the hardware? One small example: in programming I have never come across the need to understand what L2 or L3 Cache is. For the typical business application environment one almost never needs to understand assembler and the lower levels of computing, because nowadays there is a technology stack for almost anything. I guess the whole point of these lower levels is to provide an interface to higher levels. On the other hand I wonder how much influence the lower levels can have, for example this whole graphics computing thing. So, on the other hand, there is this theoretical computer science branch, which works on abstract computing models. However, I also rarely encountered situations, where I found it helpful thinking in the categories of complexity models, proof verification, etc. I sort of know, that there is a complexity class called NP, and that they are kind of impossible to solve for a big number of N. What I'm missing is a reference for a framework to think about these things. It seems to me, that there all kinds of different camps, who rarely interact. The last few weeks I have been reading about security issues. Here somehow, much of the different layers come together. Attacks and exploits almost always occur on the lower level, so in this case it is necessary to learn about the details of the OSI layers, the inner workings of an OS, etc.

  Read the article

• Organization &amp; Architecture UNISA Studies &ndash; Chap 13

  - by MarkPearl

  Learning Outcomes Explain the advantages of using a large number of registers Discuss the way in which compilers optimize register usage Discuss the evolution of CISC machines Describe the characteristics of RISC architecture Discuss the RISC vs. CISC controversy Describe the way in which RISC and CISC design principles can be combined Instruction Execution Characteristics To understand the the line of reasoning of RISC advocates, we need a brief overview of instruction execution characteristics. These include… Operations Operands Procedure Calls These three sections can be studied in depth in the textbook at pages 503 - 505 A number of groups have come up with the conclusion that the attempt to make the instruction set architecture closer to HLLs (High Level Languages) is not the most effective design strategy. Rather HLL’s can be best supported by optimizing performance of the most time-consuming features of typical HLL programs. Generally 3 main characteristics came up to improve performance… Use a large number of registers or use a compiler to optimize register usage Careful attention needs to be paid to the design of instruction pipelines A simplified (reduced) instruction set is indicated The use of a large register optimization One of the most important design principles of RISC machines is the use of a large number of registers. The concept of register windows and the use of a large register file versus the use of cache memory are discussed. On the face of it, the use of a large set of registers should decrease the need to access memory. The design task is to organize the registers in such a fashion that this goal is realized. Read page 507 – 510 for a detailed explanation. Compiler-based register optimization   Reduced Instructions Set Architecture There are two advantages to smaller programs… Because the program takes up less memory, there is a savings in that resource (this was more compelling when memory was more expensive) Smaller programs should improve performance, and this will happen in two ways – fewer instructions means fewer instruction bytes to be fetched and in a paging environment smaller programs occupy fewer pages, reducing page faults. Certain characteristics are common to RISC processors… One instruction per cycle Register-to-register operations Simple addressing modes Simple instruction formats RISC vs. CISC After initial enthusiasm for RISC machines, there has been a growing realization that RISC designs may benefit from the inclusion of some CISC features CISC designs may benefit from the inclusion of some RISC features

  Read the article

• Are there any good Java/JVM libraries for my Expression Tree architecture?

  - by Snuggy

  My team and I are developing an enterprise-level application and I have devised an architecture for it that's best described as an "Expression Tree". The basic idea is that the leaf nodes of the tree are very simple expressions (perhaps simple values or strings). Nodes closer to the trunk will get more and more complex, taking the simpler nodes as their inputs and returning more complex results for their parents. Looking at it the other way, the application performs some task, and for this it creates a root expression. The root expression divides its input into smaller units and creates child expressions, which when evaluated it can use to build it's own result. The subdividing process continues until the simplest leaf nodes. There are two very important aspects of this architecture: It must be possible to manipulate nodes of the tree after it is built. The nodes may be given new input values to work with and any change in result for that node needs to be propagated back up the tree to the root node. The application must make best use of available processors and ultimately be scalable to other computers in a grid or in the cloud. Nodes in the tree will often be updating concurrently and notifying other interested nodes in the tree when they get a new value. Unfortunately, I'm not at liberty to discuss my actual application, but to aid understanding a little bit, you might imagine a kind of spreadsheet application being implemented with a similar architecture, where changes to cells in the table are propagated all over the place to other cells that need the result. The spreadsheet could get so massive that applying multi-core multi-computer distributed system to solve it would be of benefit. I've got my prototype "Expression Engine" working nicely on a single multi-core PC but I've started to run into a few concurrency issues (as expected because I haven't been taking too much care so far) so it's now time to start thinking about migrating the Engine to a more robust library, and that leads to a number of related questions: Is there any precedent for my "Expression Tree" architecture that I could research? What programming concepts should I consider. I realise this approach has many similarities to a functional programming style, and I'm already aware of the concepts of using futures and actors. Are there any others? Are there any languages or libraries that I should study? This question is inspired by my accidental discovery of Scala and the Akka library (which has good support for Actors, Futures, Distributed workloads etc.) and I'm wondering if there is anything else I should be looking at as well?

  Read the article

• 32-bit Ubuntu or 64-bit w/Intel Atom D510 w/4GB RAM?

  - by T.J. Crowder

  (I've seen this question and some related ones, and perhaps this is a duplicate although part of my question is specific to the Atom D510.) I'm going to be installing Ubuntu on a new silent desktop as my latest (and hopefully last) attempt to switch from Windows to Linux for at least most everyday tasks. The new machine is entirely passvely cooled, but as a consequence, not astonishingly powerful — an Atom D510 (dual-core, 1.6GHz, HT) on Intel's D510MO board. That's fine, I won't use it for gaming, (much) video editing, etc. It's a 64-bit processor and I'm maxing the board out at 4GB of RAM (hey, that 1.6 CPU needs all the help it can get), which naturally raises the question of whether to install Ubuntu 64-bit or 32-bit (and if the latter, either live with the missing RAM, or do the PAE kernel dance). Although I've used Linux on servers for years, I'm very nearly a Linux desktop newbie and am not currently in the mood to fight driver wars and such. So if I'm setting myself up for failure with 64-bit, I'll live with the missing ~0.8GB or fiddle with PAE. But if 64-bit is entirely "ready," great, I'm there. So: Do most mainstream apps (now) play nicely with 64-bit Linux? I can't help but notice the "AMD" in the ISO image filename ubuntu-10.04-desktop-amd64.iso and I know AMD lead the way on this stuff — does Ubuntu 64-bit play nicely with Intel processors? Just generally, would you recommend one or the other? (And if anyone has any experience with Ubuntu specifically on the D510 [32-bit or 64-bit] which might lead me one way or t'other, that would be useful.) Thanks in advance.

  Read the article

• ZFS + FreeBSD + virtualbox

  - by John

  Hi, I'm configuring a FreeBSD server hosting virtualbox serving half dozen mission critical busy mail servers. I just learned ZFS, I'm quite attracted, but have a few questions: what is the CPU overhead of ZFS? I googled and found little (or no) benchmark for that. from what I learned, when ZFS updates files, it keeps the old file as snapshot, and write the updated part for the new version. However that would mean for each snapshot it keeps that require significant storage overhead. How much is this storage overhead? For example, suppose I have 2TB usable space, how much space can actually be used for the latest version of files one year later? is FreeBSD with ZFS hosting virtualbox serving half dozen busy guest mission critical mail servers a reasonable combination? Anything particular to be careful with? And can I still choose ZFS for the guest OSs? This is because I may build another identical such box for redundancy, and will need to do some mirroring between each pair of the guest systems across the boxes. I'm trying to configure a Dell R710 for this. From what I learned, I shouldn't choose any RAID at all, is that true? In that case, are the drives still arrive hot swappable? this may sounds a bit pathetic, but since I have no experience with ZFS at all, and this is a mission critical server, so just ask just in case: I'm choosing twin Intel L5630 processors, and 6 x 600GB 15K RPM Serial-Attach SCSI drives. If I need more space in the future, I would just hot swap some drivers with larger capacity to expand the storage. There is no problem with these, right?

  Read the article

• ESXi Server with 12 physical cores maxed out with only 8 cores assigned in virtual machines

  - by Sam

  I have an ESXi 5 server running on a 2-processor, 12-core system with hyperthreading enabled. So: 12 physical cores, 24 logical ones. On this server are 4 Windows 7 VMs, each configured for 2 processors, each running VMware Tools. Looking at my stats in vSphere, my "core utilization" is constantly maxed out. Yes, these machines are working hard, but only 8 cores have been allocated. How is this possible? Should I look into reducing the processor count per machine as in this post: VMware ESX server? I checked to ensure that hardware virtualization is enabled in the BIOS of the machine (a DELL R410). I've also started reading up on configuration, but being a newbie there's a lot of material to catch up on. It also seems I should only bother with advanced settings and pools if I'm really pushing the load, and I don't think that I should be pushing it with so few VMs. I suspect that I have some basic, incorrect configuration setting, but it's also possible that I have some giant misconceptions about virtualization. Any pointers? EDIT: Given the responses I've gotten so far, it seems that this is a measurement problem and not a configuration problem, making this less critical. Perhaps the real question is: How does the core utilization of the server reach a higher percentage than all individual cores' core utilization, and given that this possibility makes the metric useless for overall server load, what is the best global metric for measuring CPU load on hyper-threaded systems?

  Read the article

• Poor NFS Performance: OpenFiler

  - by Safin09

  Good Day Everyone, I have an issue with OpenFiler, a Linux-based operating that converts a computer system into a SAN/NAS appliance. Here is the problem. In my environment we have two Netapp Storevault 500 appliances that I normally perform backups to a NFS share. There are two backup cronjobs that use ghettoVCB to backup two groups of VM's. One group is a pool of 3 VMs. This takes 13 mins to complete. A second job that backups a pool of 5 VMs to a 2nd Storevault appliance which takes 2 hours. We then installed Openfiler on a old server that has 2 core Xeon processors. There is a software RAID 5 process in place. When performing the same backups to a NFS Openfiler share, the first backup job, which takes 13 mins, takes around 4 hours. The second backup job, which takes 2 hours, takes almost 10 hours to complete. This is unacceptable!!!! Especially considering the strain placed on the host ESX Server. I assumed that because of the software RAID 5, the overhead on the CPU explained the long backup times. I then installed Openfiler on a 2nd server, an IBM x306 machine which has a P4 Intel processor. This time no software RAID or any RAID at all. A single 750GB hard drive that contained the OS and the rest of the disk uses to backup VMs to a NFS share. I performed the first backup job of the pool of 3 VMs. This time the backup job took 1 and 1/2 hours to complete instead of 13 mins!!!!!!!!!! Is Openfiler simply poor at being an NFS Server!!!!!!!!!!!!! Has anyone else had these issues with Openfiler?

  Read the article

• Virtualbox HTTP load testing, host CPU overload issues

  - by aschuler

  I'm doing HTTP load testing benchmarks (using Apache Benchmark and Siege) on a small Java EE 1.7.0 / Tomcat 7.0.26 application running on a Debian Squeeze 6.0.4 x64 virtualized with Virtualbox 4.1.8. The computer host is Ubuntu 11.10 x64. I've modified those parameters in the Tomcat server.xml : <Connector port="8080" protocol="HTTP/1.1" connectionTimeout="200000" redirectPort="8443" acceptCount="2000" maxThreads="150" minSpareThreads="50" /> The application executed on the server takes around 300ms. This app is running well until a certain amount of concurrent connections like those one : ab -n 500 -c 150 http://xx.xx.xx.xx:8080/myapp/ ab -n 1000 -c 50 http://xx.xx.xx.xx:8080/myapp/ siege -b -c 100 -r 20 http://xx.xx.xx.xx:8080/myapp/ A lot of socket connection timed out happens and this completly overload the host processor (but the CPU load inside the VM is normal). Doing an htop on the host, i can see that the Virtualbox processus is running under 300% CPU and never come down even after the load test is finished. (I've allocated 4 processors to the VM, if I allocate only one processor, CPU load goes under 100%). Restarting Tomcat don't do anything, i'm forced to restart the whole VM. I've tryed to launch those ab/siege commands locally on the VM and everything goes well. I first thought it was related to a linux network limit as explained here: Running some benchmarks using ab, and tomcat starts to really slow down So I've modified those TCP parameters : echo 15 > /proc/sys/net/ipv4/tcp_fin_timeout echo 30 > /proc/sys/net/ipv4/tcp_keepalive_intvl echo 1 > /proc/sys/net/ipv4/tcp_tw_recycle echo 1 > /proc/sys/net/ipv4/tcp_tw_reuse It seems to be better, but it continues to overload the host CPU and output socket connections time out at a certain amount of concurrent connections. I'm wondering if this is not related to how Virtualbox handles external concurrent connections.

  Read the article

• Ubuntu in VirtualBox File Modified Time in Future and PHP slow file operations

  - by user1750

  For some reason, some of my files have a last modified date in the future. In addition to this, file operations in PHP are SUPER slow. For example, rebuilding the Symfony2 cache can take over 40 seconds (its takes 1-2 on my MacBook Pro). Notice the time for ListingsCRUDController.php. It just says "2012". In order see the date more clearly I ran ls --time-style="full-iso" -l For some reason it shows that this file's last modified date is ~5 hours into the future. System time: To make things more confusing, the system will intermittently speed up. Suddenly, my app will start serving requests in 1-2 seconds (down from 40 seconds) for no apparent reason. I mean I don't do anything to my code/system config - it just changes. Also, during a slow PHP request, the php5-fpm process (nginx) uses 100% of the CPU for the duration of the request. This is the second VM this has happened on and I need to know why its doing this. It has become unusable. Information About My Setup VirtualBox 4.2.0 Host: Macbook Pro Guest: Ubuntu Server 12.04 Package dkms is installed Timezones match for Ubuntu and PHP. Things I've Tried Both Apache and Nginx. APC enabled and disabled. Xdebug enabled and disabled. 1 processor up to 4 processors. 1gb memory up to 4gb memory. I've installed Ubuntu using the regular kernel and the VM kernel.

  Read the article

• Idle state detection for server

  - by odinmillion

  Windows OS has a service that detects idle state. Details: Task Idle Conditions The computer is considered idle if all the processors and all the disks were idle for more than 90% of the past 15 minutes and if there is no keyboard or mouse input during this period of time. When the Task Scheduler service detects that the computer is idle, the service only waits for user input to mark the end of the idle state. It is very useful for usual PCs that have keyboard amd mouse. We can use standard task scheduler to start some process like defrag when PC in idle state and stop when PC isn't in idle state. But what should we use when we using a standalone server without keyboard and mouse? Server sometimes receives commands by TCP/IP and starts CPU and HDD activity. But sometimes CPU and HDD activity at zero level. I would like to use this periods of time to start defrag or another process. But this started at "idle" state processes should be terminated when another commands will appear. So, standard idle state conditions cant help me because we have not got user input to stop idle state. I need more customizable idle state detector. Automatically started processes shouldn't influence to idle state, but PC should go away from idle state when another process will apperar. What should I use? Maybe exists some advansed task scheduler? Or I should write some useful utility on C#? I hope that it is a standard task and all useful utilities already compiled :)

  Read the article

• Best option for storage clustering

  - by sam

  I'm working on an application that requires a large amount of storage space and I want to handle storage 'in-house' (Much cheaper than, say, S3) so we will have multiple servers (Initially 4) with large amounts of storage (6TB each). The storage will need to be very flexible and configurable, each piece of data should be replicated on at least 2 servers and must be easily readable/writable from ether an API of a UNIX device/file/folder like a normal drive, I don't mind which. We must also be able to easily offload content to our HTTP CDN (Edgecast), it doesn't need to have built in HTTP support but if it doesn't I'm going to have to write something to get the files onto HTTP so they can be pulled by the CDN. I've looked at a lot of solutions including Eucalyptus Walrus OpenStack Object Storage MogileFS and some others which I can't remember All the servers will be running RHEL 6, they have 4x1.5TB drives which will be RAID1'd into a single partition. All the servers have 1GB/s connections between them and 100MB/s connections to the internet with unlimited bandwidth. They have 2x2.66ghz processors. I understand there isn't a single, perfect answer but it would be nice to get some pointers.

  Read the article

< Previous Page | 18 19 20 21 22 23 24 25 26 27 28 29  | Next Page >