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  • Popular genres in Asian (non-Japanese) markets?

    - by mummey
    Hello, From time-to-time I've wondered what kind of games are popular in Asia (India, China, Korea, Singapore, etc...). I hear about developers in the US and UK who outsource work there, but what goes into the games they make for themselves? Related, you hear these days about how Japanese developers have been marketing their games more for American audiences these days (with mixed success). In what ways could American developers aim their development toward Asian audiences?

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  • Penguin's HPC Waddle

    Server Snapshot: Penguin Computing has always, as its name implies, focused on developing best practices for Linux-based systems, software and services, particularly in the HPC space.

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  • Penguin's HPC Waddle

    Server Snapshot: Penguin Computing has always, as its name implies, focused on developing best practices for Linux-based systems, software and services, particularly in the HPC space.

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  • Create Custom Sized Thumbnail Images with Simple Image Resizer [Cross-Platform]

    - by Asian Angel
    Are you looking for an easy way to create custom sized thumbnail images for use in blog posts, photo albums, and more? Whether is it a single image or a CD full, Simple Image Resizer is the right app to get the job done for you. To add the new PPA for Simple Image Resizer open the Ubuntu Software Center, go to the Edit Menu, and select Software Sources. Access the Other Software Tab in the Software Sources Window and add the first of the PPAs shown below (outlined in red). The second PPA will be automatically added to your system. Once you have the new PPAs set up, go back to the Ubuntu Software Center and click on the PPA listing for Rafael Sachetto on the left (highlighted with red in the image). The listing for Simple Image Resizer will be right at the top…click Install to add the program to your system. After the installation is complete you can find Simple Image Resizer listed as Sir in the Graphics sub-menu. When you open Simple Image Resizer you will need to browse for the directory containing the images you want to work with, select a destination folder, choose a target format and prefix, enter the desired pixel size for converted images, and set the quality level. Convert your image(s) when ready… Note: You will need to determine the image size that best suits your needs before-hand. For our example we chose to convert a single image. A quick check shows our new “thumbnailed” image looking very nice. Simple Image Resizer can convert “into and from” the following image formats: .jpeg, .png, .bmp, .gif, .xpm, .pgm, .pbm, and .ppm Command Line Installation Note: For older Ubuntu systems (9.04 and previous) see the link provided below. sudo add-apt-repository ppa:rsachetto/ppa sudo apt-get update && sudo apt-get install sir Links Note: Simple Image Resizer is available for Ubuntu, Slackware Linux, and Windows. Simple Image Resizer PPA at Launchpad Simple Image Resizer Homepage Command Line Installation for Older Ubuntu Systems Bonus The anime wallpaper shown in the screenshots above can be found here: The end where it begins [DesktopNexus] Latest Features How-To Geek ETC Macs Don’t Make You Creative! So Why Do Artists Really Love Apple? MacX DVD Ripper Pro is Free for How-To Geek Readers (Time Limited!) HTG Explains: What’s a Solid State Drive and What Do I Need to Know? How to Get Amazing Color from Photos in Photoshop, GIMP, and Paint.NET Learn To Adjust Contrast Like a Pro in Photoshop, GIMP, and Paint.NET Have You Ever Wondered How Your Operating System Got Its Name? Create Shortcuts for Your Favorite or Most Used Folders in Ubuntu Create Custom Sized Thumbnail Images with Simple Image Resizer [Cross-Platform] Etch a Circuit Board using a Simple Homemade Mixture Sync Blocker Stops iTunes from Automatically Syncing The Journey to the Mystical Forest [Wallpaper] Trace Your Browser’s Roots on the Browser Family Tree [Infographic]

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  • Feature (de)activation error “The web or site was not found” and Application Pool

    - by panjkov
    I am using Microsoft IW Demo VM (2010-10A) for my experiments related to SharePoint, in all cases when I don’t have time (read: when I’m lazy) to create complete SharePoint Dev environment. Problem This particular time I was playing around with site-scoped features and newly created site collection. So here is my workflow: Create feature with feature receiver Deploy to Site Collection from Visual Studio using “No Activation” deployment profile Activate feature from “Site Collection Features” interface...(read more)

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  • Hidden Formatting Troubles with STR() (SQL Spackle)

    Fill in another bit of your T-SQL knowledge about STR(). It right justifies, rounds, and controls the output width of columns. Sounds perfect but here's why you might not want to use it. Join SQL Backup’s 35,000+ customers to compress and strengthen your backups "SQL Backup will be a REAL boost to any DBA lucky enough to use it." Jonathan Allen. Download a free trial now.

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  • How Big Is a Billion? [Video]

    - by Jason Fitzpatrick
    A billion is a billion except, when it isn’t. Depending on where and when you were raised and educated, the world “billion” is some magnitudes different–read on to see the difference between a billion in long and short number systems. [via Geeks Are Sexy] Here’s How to Download Windows 8 Release Preview Right Now HTG Explains: Why Linux Doesn’t Need Defragmenting How to Convert News Feeds to Ebooks with Calibre

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  • Make the Web Fast: Google Web Fonts - making pretty, fast!

    Make the Web Fast: Google Web Fonts - making pretty, fast! Join us for a technical deep-dive on Web Fonts: how they work, the data formats, performance optimizations, and tips and tricks for making your site both fast and pretty at the same time - turns out, these two goals are not mutually exclusive! From: GoogleDevelopers Views: 468 69 ratings Time: 01:11:43 More in Science & Technology

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  • Guests can't access KVM host server by name although nslookup and dig returns correct record

    - by user190196
    So I have a KVM host that also runs an apache server with some yum repos. The VM guests are connected to the default virtual network, which is configured to offer DHCP and forwarding with NAT on virbr0 (192.168.12.1). The guests can successfully access the yum repos on the host by IP address, so for example curl 192.168.122.1/repo1 returns the content without problems. But I'd like to have the guests be able to reach the web server on the host by name rather IP address. I added the desired name record to the host's /etc/hosts file and libvirt's dnsmasq service seems to be serving that correctly to the guests since nslookup and dig successfully resolve the name on the guests: [root@localhost ~]# nslookup repo Server: 192.168.122.1 Address: 192.168.122.1#53 Name: repo Address: 192.168.122.1 [root@localhost ~]# dig repo ; <<>> DiG 9.8.2rc1-RedHat-9.8.2-0.17.rc1.el6 <<>> repo ;; global options: +cmd ;; Got answer: ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 55938 ;; flags: qr aa rd ra; QUERY: 1, ANSWER: 1, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;repo. IN A ;; ANSWER SECTION: repo. 0 IN A 192.168.122.1 ;; Query time: 0 msec ;; SERVER: 192.168.122.1#53(192.168.122.1) ;; WHEN: Tue Sep 17 02:10:46 2013 ;; MSG SIZE rcvd: 38 But curl/ping/etc still fail: [root@localhost ~]# curl repo curl: (6) Couldn't resolve host 'repo' While a request via ip address works: [root@localhost ~]# curl 192.168.122.1 <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2 Final//EN"> <html> <head> <title>Index of /</title> [...] Same with ping: [root@localhost ~]# ping repo ping: unknown host repo [root@localhost ~]# ping 192.168.122.1 PING 192.168.122.1 (192.168.122.1) 56(84) bytes of data. 64 bytes from 192.168.122.1: icmp_seq=1 ttl=64 time=0.110 ms 64 bytes from 192.168.122.1: icmp_seq=2 ttl=64 time=0.146 ms 64 bytes from 192.168.122.1: icmp_seq=3 ttl=64 time=0.191 ms ^C --- 192.168.122.1 ping statistics --- 3 packets transmitted, 3 received, 0% packet loss, time 2298ms rtt min/avg/max/mdev = 0.110/0.149/0.191/0.033 ms I tried adding repo 192.168.122.1 to the guests' /etc/hosts files but still no dice. Also tried changing guests' /etc/nsswitch.conf with both: hosts: files dns and hosts: dns files I've read the relevant libvirt documentation and I'm not sure where else to learn more about this and be able to move forward with it.

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  • Learning PostgreSql: polymorphism

    - by Alexander Kuznetsov
    Functions in PL/PgSql are polymorphic, which is very different from T-SQL. Demonstrating polymorphism For example, the second CREATE FUNCTION in the following script does not replace the first function - it creates a second one: CREATE OR REPLACE FUNCTION public .GetQuoteOfTheDay ( someNumber INTEGER ) RETURNS VARCHAR AS $body$ BEGIN RETURN 'Say my name.' ; END ; $body$ LANGUAGE plpgsql ; CREATE OR REPLACE FUNCTION public .GetQuoteOfTheDay ( someNumber REAL ) RETURNS VARCHAR AS $body$ BEGIN RETURN...(read more)

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  • 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.

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  • Log & monitor mysql databases on servers

    - by user3215
    How MySQL databases logged and monitored on ubuntu servers in real time?. I checked /var/log/mysql.log and found it empty. EDIT 1: The log was not enabled in the mysql configuration file. Now it logs and I could see the logs in the file /var/log/mysql/mysql.log But this could not be sufficient to gather additional information about the database logs. Is there any other way or any popular open source tool?

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  • IP failover with 2 nodes on different subnet: cannot ping virtual IP from second node?

    - by quanta
    I'm going to setup redundant failover Redmine: another instance was installed on the second server without problem MySQL (running on the same machine with Redmine) was configured as master-master replication Because they are in different subnet (192.168.3.x and 192.168.6.x), it seems that VIPArip is the only choice. /etc/ha.d/ha.cf on node1 logfacility none debug 1 debugfile /var/log/ha-debug logfile /var/log/ha-log autojoin none warntime 3 deadtime 6 initdead 60 udpport 694 ucast eth1 node2.ip keepalive 1 node node1 node node2 crm respawn /etc/ha.d/ha.cf on node2: logfacility none debug 1 debugfile /var/log/ha-debug logfile /var/log/ha-log autojoin none warntime 3 deadtime 6 initdead 60 udpport 694 ucast eth0 node1.ip keepalive 1 node node1 node node2 crm respawn crm configure show: node $id="6c27077e-d718-4c82-b307-7dccaa027a72" node1 node $id="740d0726-e91d-40ed-9dc0-2368214a1f56" node2 primitive VIPArip ocf:heartbeat:VIPArip \ params ip="192.168.6.8" nic="lo:0" \ op start interval="0" timeout="20s" \ op monitor interval="5s" timeout="20s" depth="0" \ op stop interval="0" timeout="20s" \ meta is-managed="true" property $id="cib-bootstrap-options" \ stonith-enabled="false" \ dc-version="1.0.12-unknown" \ cluster-infrastructure="Heartbeat" \ last-lrm-refresh="1338870303" crm_mon -1: ============ Last updated: Tue Jun 5 18:36:42 2012 Stack: Heartbeat Current DC: node2 (740d0726-e91d-40ed-9dc0-2368214a1f56) - partition with quorum Version: 1.0.12-unknown 2 Nodes configured, unknown expected votes 1 Resources configured. ============ Online: [ node1 node2 ] VIPArip (ocf::heartbeat:VIPArip): Started node1 ip addr show lo: 1: lo: <LOOPBACK,UP,LOWER_UP> mtu 16436 qdisc noqueue link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 inet 127.0.0.1/8 scope host lo inet 192.168.6.8/32 scope global lo inet6 ::1/128 scope host valid_lft forever preferred_lft forever I can ping 192.168.6.8 from node1 (192.168.3.x): # ping -c 4 192.168.6.8 PING 192.168.6.8 (192.168.6.8) 56(84) bytes of data. 64 bytes from 192.168.6.8: icmp_seq=1 ttl=64 time=0.062 ms 64 bytes from 192.168.6.8: icmp_seq=2 ttl=64 time=0.046 ms 64 bytes from 192.168.6.8: icmp_seq=3 ttl=64 time=0.059 ms 64 bytes from 192.168.6.8: icmp_seq=4 ttl=64 time=0.071 ms --- 192.168.6.8 ping statistics --- 4 packets transmitted, 4 received, 0% packet loss, time 3000ms rtt min/avg/max/mdev = 0.046/0.059/0.071/0.011 ms but cannot ping virtual IP from node2 (192.168.6.x) and outside. Did I miss something? PS: you probably want to set IP2UTIL=/sbin/ip in the /usr/lib/ocf/resource.d/heartbeat/VIPArip resource agent script if you get something like this: Jun 5 11:08:10 node1 lrmd: [19832]: info: RA output: (VIPArip:stop:stderr) 2012/06/05_11:08:10 ERROR: Invalid OCF_RESK EY_ip [192.168.6.8] http://www.clusterlabs.org/wiki/Debugging_Resource_Failures Reply to @DukeLion: Which router receives RIP updates? When I start the VIPArip resource, ripd was run with below configuration file (on node1): /var/run/resource-agents/VIPArip-ripd.conf: hostname ripd password zebra debug rip events debug rip packet debug rip zebra log file /var/log/quagga/quagga.log router rip !nic_tag no passive-interface lo:0 network lo:0 distribute-list private out lo:0 distribute-list private in lo:0 !metric_tag redistribute connected metric 3 !ip_tag access-list private permit 192.168.6.8/32 access-list private deny any

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  • Parallel LINQ - PLINQ

    - by nmarun
    Turns out now with .net 4.0 we can run a query like a multi-threaded application. Say you want to query a collection of objects and return only those that meet certain conditions. Until now, we basically had one ‘control’ that iterated over all the objects in the collection, checked the condition on each object and returned if it passed. We obviously agree that if we can ‘break’ this task into smaller ones, assign each task to a different ‘control’ and ask all the controls to do their job - in-parallel, the time taken the finish the entire task will be much lower. Welcome to PLINQ. Let’s take some examples. I have the following method that uses our good ol’ LINQ. 1: private static void Linq(int lowerLimit, int upperLimit) 2: { 3: // populate an array with int values from lowerLimit to the upperLimit 4: var source = Enumerable.Range(lowerLimit, upperLimit); 5:  6: // Start a timer 7: Stopwatch stopwatch = new Stopwatch(); 8: stopwatch.Start(); 9:  10: // set the expectation => build the expression tree 11: var evenNumbers =   from num in source 12: where IsDivisibleBy(num, 2) 13: select num; 14: 15: // iterate over and print the returned items 16: foreach (var number in evenNumbers) 17: { 18: Console.WriteLine(string.Format("** {0}", number)); 19: } 20:  21: stopwatch.Stop(); 22:  23: // check the metrics 24: Console.WriteLine(String.Format("Elapsed {0}ms", stopwatch.ElapsedMilliseconds)); 25: } I’ve added comments for the major steps, but the only thing I want to talk about here is the IsDivisibleBy() method. I know I could have just included the logic directly in the where clause. I called a method to add ‘delay’ to the execution of the query - to simulate a loooooooooong operation (will be easier to compare the results). 1: private static bool IsDivisibleBy(int number, int divisor) 2: { 3: // iterate over some database query 4: // to add time to the execution of this method; 5: // the TableB has around 10 records 6: for (int i = 0; i < 10; i++) 7: { 8: DataClasses1DataContext dataContext = new DataClasses1DataContext(); 9: var query = from b in dataContext.TableBs select b; 10: 11: foreach (var row in query) 12: { 13: // Do NOTHING (wish my job was like this) 14: } 15: } 16:  17: return number % divisor == 0; 18: } Now, let’s look at how to modify this to PLINQ. 1: private static void Plinq(int lowerLimit, int upperLimit) 2: { 3: // populate an array with int values from lowerLimit to the upperLimit 4: var source = Enumerable.Range(lowerLimit, upperLimit); 5:  6: // Start a timer 7: Stopwatch stopwatch = new Stopwatch(); 8: stopwatch.Start(); 9:  10: // set the expectation => build the expression tree 11: var evenNumbers = from num in source.AsParallel() 12: where IsDivisibleBy(num, 2) 13: select num; 14:  15: // iterate over and print the returned items 16: foreach (var number in evenNumbers) 17: { 18: Console.WriteLine(string.Format("** {0}", number)); 19: } 20:  21: stopwatch.Stop(); 22:  23: // check the metrics 24: Console.WriteLine(String.Format("Elapsed {0}ms", stopwatch.ElapsedMilliseconds)); 25: } That’s it, this is now in PLINQ format. Oh and if you haven’t found the difference, look line 11 a little more closely. You’ll see an extension method ‘AsParallel()’ added to the ‘source’ variable. Couldn’t be more simpler right? So this is going to improve the performance for us. Let’s test it. So in my Main method of the Console application that I’m working on, I make a call to both. 1: static void Main(string[] args) 2: { 3: // set lower and upper limits 4: int lowerLimit = 1; 5: int upperLimit = 20; 6: // call the methods 7: Console.WriteLine("Calling Linq() method"); 8: Linq(lowerLimit, upperLimit); 9: 10: Console.WriteLine(); 11: Console.WriteLine("Calling Plinq() method"); 12: Plinq(lowerLimit, upperLimit); 13:  14: Console.ReadLine(); // just so I get enough time to read the output 15: } YMMV, but here are the results that I got:    It’s quite obvious from the above results that the Plinq() method is taking considerably less time than the Linq() version. I’m sure you’ve already noticed that the output of the Plinq() method is not in order. That’s because, each of the ‘control’s we sent to fetch the results, reported with values as and when they obtained them. This is something about parallel LINQ that one needs to remember – the collection cannot be guaranteed to be undisturbed. This could be counted as a negative about PLINQ (emphasize ‘could’). Nevertheless, if we want the collection to be sorted, we can use a SortedSet (.net 4.0) or build our own custom ‘sorter’. Either way we go, there’s a good chance we’ll end up with a better performance using PLINQ. And there’s another negative of PLINQ (depending on how you see it). This is regarding the CPU cycles. See the usage for Linq() method (used ResourceMonitor): I have dual CPU’s and see the height of the peak in the bottom two blocks and now compare to what happens when I run the Plinq() method. The difference is obvious. Higher usage, but for a shorter duration (width of the peak). Both these points make sense in both cases. Linq() runs for a longer time, but uses less resources whereas Plinq() runs for a shorter time and consumes more resources. Even after knowing all these, I’m still inclined towards PLINQ. PLINQ rocks! (no hard feelings LINQ)

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  • Where are gnome keyboard shortcuts stored

    - by Evan Plaice
    I usually load a new version for every release to keep my OS fresh while preserving the last version on another partition as backup. I also employ a lot of custom key mappings (IMHO, the defaults suck). I've figured out how to transfer the majority of my configuration across systems so far but I can't figure out where the custom keyboard shortcut mappings are stored. Does anybody know where gnome puts these? Are there separate user config (Ie. ~/) and system config (Ie. /etc) files?

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  • 11gR2 DB 11.2.0.1 Certified with E-Business Suite on Solaris 10 (x86-64)

    - by Steven Chan
    Oracle Database 11g Release 2 version 11.2.0.1 is now certified with Oracle E-Business Suite 11i (11.5.10.2) and Release 12 (12.0.4 or higher, 12.1.1 or higher) on Oracle Solaris on x86-64 (64-bit) running Solaris 10. This announcement includes:Oracle Database 11gR2 version 11.2.0.1 Oracle Database 11gR2 version 11.2.0.1 Real Application Clusters (RAC) Transparent Data Encryption (TDE) Column Encryption with EBS 11i and R12Advanced Security Option (ASO)/Advanced Networking Option (ANO) Export/Import Process for E-Business Suite 11i and R12 Database Instances Transparent Data Encryption (TDE) Tablespace Encryption

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  • SPARC T3-1 Record Results Running JD Edwards EnterpriseOne Day in the Life Benchmark with Added Batch Component

    - by Brian
    Using Oracle's SPARC T3-1 server for the application tier and Oracle's SPARC Enterprise M3000 server for the database tier, a world record result was produced running the Oracle's JD Edwards EnterpriseOne applications Day in the Life benchmark run concurrently with a batch workload. The SPARC T3-1 server based result has 25% better performance than the IBM Power 750 POWER7 server even though the IBM result did not include running a batch component. The SPARC T3-1 server based result has 25% better space/performance than the IBM Power 750 POWER7 server as measured by the online component. The SPARC T3-1 server based result is 5x faster than the x86-based IBM x3650 M2 server system when executing the online component of the JD Edwards EnterpriseOne 9.0.1 Day in the Life benchmark. The IBM result did not include a batch component. The SPARC T3-1 server based result has 2.5x better space/performance than the x86-based IBM x3650 M2 server as measured by the online component. The combination of SPARC T3-1 and SPARC Enterprise M3000 servers delivered a Day in the Life benchmark result of 5000 online users with 0.875 seconds of average transaction response time running concurrently with 19 Universal Batch Engine (UBE) processes at 10 UBEs/minute. The solution exercises various JD Edwards EnterpriseOne applications while running Oracle WebLogic Server 11g Release 1 and Oracle Web Tier Utilities 11g HTTP server in Oracle Solaris Containers, together with the Oracle Database 11g Release 2. The SPARC T3-1 server showed that it could handle the additional workload of batch processing while maintaining the same number of online users for the JD Edwards EnterpriseOne Day in the Life benchmark. This was accomplished with minimal loss in response time. JD Edwards EnterpriseOne 9.0.1 takes advantage of the large number of compute threads available in the SPARC T3-1 server at the application tier and achieves excellent response times. The SPARC T3-1 server consolidates the application/web tier of the JD Edwards EnterpriseOne 9.0.1 application using Oracle Solaris Containers. Containers provide flexibility, easier maintenance and better CPU utilization of the server leaving processing capacity for additional growth. A number of Oracle advanced technology and features were used to obtain this result: Oracle Solaris 10, Oracle Solaris Containers, Oracle Java Hotspot Server VM, Oracle WebLogic Server 11g Release 1, Oracle Web Tier Utilities 11g, Oracle Database 11g Release 2, the SPARC T3 and SPARC64 VII+ based servers. This is the first published result running both online and batch workload concurrently on the JD Enterprise Application server. No published results are available from IBM running the online component together with a batch workload. The 9.0.1 version of the benchmark saw some minor performance improvements relative to 9.0. When comparing between 9.0.1 and 9.0 results, the reader should take this into account when the difference between results is small. Performance Landscape JD Edwards EnterpriseOne Day in the Life Benchmark Online with Batch Workload This is the first publication on the Day in the Life benchmark run concurrently with batch jobs. The batch workload was provided by Oracle's Universal Batch Engine. System RackUnits Online Users Resp Time (sec) BatchConcur(# of UBEs) BatchRate(UBEs/m) Version SPARC T3-1, 1xSPARC T3 (1.65 GHz), Solaris 10 M3000, 1xSPARC64 VII+ (2.86 GHz), Solaris 10 4 5000 0.88 19 10 9.0.1 Resp Time (sec) — Response time of online jobs reported in seconds Batch Concur (# of UBEs) — Batch concurrency presented in the number of UBEs Batch Rate (UBEs/m) — Batch transaction rate in UBEs/minute. JD Edwards EnterpriseOne Day in the Life Benchmark Online Workload Only These results are for the Day in the Life benchmark. They are run without any batch workload. System RackUnits Online Users ResponseTime (sec) Version SPARC T3-1, 1xSPARC T3 (1.65 GHz), Solaris 10 M3000, 1xSPARC64 VII (2.75 GHz), Solaris 10 4 5000 0.52 9.0.1 IBM Power 750, 1xPOWER7 (3.55 GHz), IBM i7.1 4 4000 0.61 9.0 IBM x3650M2, 2xIntel X5570 (2.93 GHz), OVM 2 1000 0.29 9.0 IBM result from http://www-03.ibm.com/systems/i/advantages/oracle/, IBM used WebSphere Configuration Summary Hardware Configuration: 1 x SPARC T3-1 server 1 x 1.65 GHz SPARC T3 128 GB memory 16 x 300 GB 10000 RPM SAS 1 x Sun Flash Accelerator F20 PCIe Card, 92 GB 1 x 10 GbE NIC 1 x SPARC Enterprise M3000 server 1 x 2.86 SPARC64 VII+ 64 GB memory 1 x 10 GbE NIC 2 x StorageTek 2540 + 2501 Software Configuration: JD Edwards EnterpriseOne 9.0.1 with Tools 8.98.3.3 Oracle Database 11g Release 2 Oracle 11g WebLogic server 11g Release 1 version 10.3.2 Oracle Web Tier Utilities 11g Oracle Solaris 10 9/10 Mercury LoadRunner 9.10 with Oracle Day in the Life kit for JD Edwards EnterpriseOne 9.0.1 Oracle’s Universal Batch Engine - Short UBEs and Long UBEs Benchmark Description JD Edwards EnterpriseOne is an integrated applications suite of Enterprise Resource Planning (ERP) software. Oracle offers 70 JD Edwards EnterpriseOne application modules to support a diverse set of business operations. Oracle's Day in the Life (DIL) kit is a suite of scripts that exercises most common transactions of JD Edwards EnterpriseOne applications, including business processes such as payroll, sales order, purchase order, work order, and other manufacturing processes, such as ship confirmation. These are labeled by industry acronyms such as SCM, CRM, HCM, SRM and FMS. The kit's scripts execute transactions typical of a mid-sized manufacturing company. The workload consists of online transactions and the UBE workload of 15 short and 4 long UBEs. LoadRunner runs the DIL workload, collects the user’s transactions response times and reports the key metric of Combined Weighted Average Transaction Response time. The UBE processes workload runs from the JD Enterprise Application server. Oracle's UBE processes come as three flavors: Short UBEs < 1 minute engage in Business Report and Summary Analysis, Mid UBEs > 1 minute create a large report of Account, Balance, and Full Address, Long UBEs > 2 minutes simulate Payroll, Sales Order, night only jobs. The UBE workload generates large numbers of PDF files reports and log files. The UBE Queues are categorized as the QBATCHD, a single threaded queue for large UBEs, and the QPROCESS queue for short UBEs run concurrently. One of the Oracle Solaris Containers ran 4 Long UBEs, while another Container ran 15 short UBEs concurrently. The mixed size UBEs ran concurrently from the SPARC T3-1 server with the 5000 online users driven by the LoadRunner. Oracle’s UBE process performance metric is Number of Maximum Concurrent UBE processes at transaction rate, UBEs/minute. Key Points and Best Practices Two JD Edwards EnterpriseOne Application Servers and two Oracle Fusion Middleware WebLogic Servers 11g R1 coupled with two Oracle Fusion Middleware 11g Web Tier HTTP Server instances on the SPARC T3-1 server were hosted in four separate Oracle Solaris Containers to demonstrate consolidation of multiple application and web servers. See Also SPARC T3-1 oracle.com SPARC Enterprise M3000 oracle.com Oracle Solaris oracle.com JD Edwards EnterpriseOne oracle.com Oracle Database 11g Release 2 Enterprise Edition oracle.com Disclosure Statement Copyright 2011, 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 6/27/2011.

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  • My "Ah-Ha!" Moment With LINQ

    - by CompiledMonkey
    I'm currently working on a set of web services that will be consumed by iPhone and Android devices. Given how often the web services will be called in a relatively short period of time, the data access for the web services has proven to be a very important aspect of the project. In choosing the technology stack for implementation, I opted for LINQ to SQL as it was something I had dabbled with in the past and wanted to learn more about in a real environment. The query optimization happening behind...(read more)

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  • Digital Storage for Airline Entertainment

    - by Bill Evjen
    by Thomas Coughlin Common flash memory cards The most common flash memory products currently in use are SD cards and derivative products (e.g. mini and micro-SD cards) Some compact flash used for professional applications (such as DSLR cameras) Evolution of leading flash formats Standardization –> market expansion Market expansion –> volume iNAND –> focus is on enabling embedded X3 iSSD –> ideal for thin form factor devices Flash memory applications Phones are the #1 user of flash memory Flash memory is used as embedded and removable storage in many mobile applications Flash memory is being used in computers as USB sticks and SSDs Possible use of flash memory in computer combined with HDDs (hybrid HDDs and paired or dual storage computers) It can be a removable card or an embedded card These devices can only handle a specific number of writes Flash memory reads considerably quicker than hard drives Hybrid and dual storage in computers SSDs can provide fast performance but they are expensive HDDs can provide cheap storage but they are relatively slow Combining some flash memory with a HDD can provide costs close to those of HDDs and performance close to flash memory Seagate Momentus XT hybrid HDD Various dual storage offerings putting flash memory with HDDs Other common flash memory devices USB sticks All forms and colors Used for moving files around Some sold with content on them (Sony Movies on USB sticks) Solid State Drives (SSDs) Floating Gate Flash Memory Cell When a bit is programmed, electrons are stored upon the floating gate This has the effect of offsetting the charge on the control gate of the transistor If there is no charge upon the floating gate, then the control gate’s charge determines whether or not a current flows through the channel A strong charge on the control gate assumes that no current flows. A weak charge will allow a strong current to flow through. Similar to HDDs, flash memory must provide: Bit error correction Bad block management NAND and NOR memories are treated differently when it comes to managing wear In many NOR-based systems no management is used at all, since the NOR is simply used to store code, and data is stored in other devices. In this case, it would take a near-infinite amount of time for wear to become an issue since the only time the chip would see an erase/write cycle is when the code in the system is being upgraded, which rarely if ever happens over the life of a typical system. NAND is usually found in very different application than is NOR Flash memory wears out This is expected to get worse over time Retention: Disappearing data Bits fade away Retention decreases with increasing read/writes Bits may change when adjacent bits are read Time and traffic are concerns Controllers typically groom read disturb errors Like DRAM refresh Increases erase/write frequency Application characteristics Music – reads high / writes very low Video – r high / writes very low Internet Cache – r high / writes low On airplanes Many consumers now have their own content viewing devices – do they need the airlines? Is there a way to offer more to consumers, especially with their own viewers Additional special content tie into airplane network access to electrical power, internet Should there be fixed embedded or removable storage for on-board airline entertainment? Is there a way to leverage personal and airline viewers and content in new and entertaining ways?

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