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  • Redundant Interconnect with Highly Available IP (HAIP) ??

    - by JaneZhang(???)
      ?11.2.0.2??,Oracle ?????Grid Infrastructure(GI)????Redundant Interconnect with Highly Available IP(HAIP).  ?11.2.0.2??,???????????OS?????????,??HAIP??,?????????????????????  ???GI????,??????????????????,??:   ???,HAIP???????169.254.*.*,????????????HAIP ???1?,???4?(???????),???????????  ??:$ crsctl stat res -t -init NAME           TARGET  STATE        SERVER   STATE_DETAILS Cluster Resources--------------------------------------------------------------------------------ora.cluster_interconnect.haip       1        ONLINE  ONLINE       node2                       #ifconfig -aeth1      Link encap:Ethernet  HWaddr 00:14:22:BD:59:DE  <=====????          inet addr:192.168.10.2  Bcast:192.168.10.255  Mask:255.255.255.0          inet6 addr: fe80::214:22ff:febd:59de/64 Scope:Link          UP BROADCAST RUNNING MULTICAST  MTU:1500  Metric:1          RX packets:54297359 errors:0 dropped:0 overruns:0 frame:0          TX packets:58151488 errors:0 dropped:0 overruns:0 carrier:0          collisions:0 txqueuelen:1000           RX bytes:837602539 (798.8 MiB)  TX bytes:3809085161 (3.5 GiB)          Interrupt:169 eth1:1    Link encap:Ethernet  HWaddr 00:14:22:BD:59:DE  <=====????????          inet addr:169.254.185.195  Bcast:169.254.255.255  Mask:255.255.0.0          UP BROADCAST RUNNING MULTICAST  MTU:1500  Metric:1          Interrupt:169 ???????HAIP??cluster interconnect: Cluster communication is configured to use the following interface(s) for this instance  169.254.185.195cluster interconnect IPC version:Oracle UDP/IP (generic)IPC Vendor 1 proto 2ASM ?????? HAIP ??cluster interconnect: Cluster communication is configured to use the following interface(s) for this instance  169.254.185.195cluster interconnect IPC version:Oracle UDP/IP (generic)IPC Vendor 1 proto 2  Oracle????ASM??????HAIP??????????????????????,????????????????????,???????????,????HAIP????????????????,???????????  HAIP ????????????,?????????????????   ??HAIP?????,???My Oracle Support Note ??1210883.1.

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  • MS SQL - Problem running SQL Server Agent Job via service account credentials

    - by molecule
    There are 5 steps in this job. First job is an SSIS Package store, second to fifth are file system jobs. We configured all jobs to use Windows Authentication. Under Run As, we specified a user account which was created under SecurityCredentials and SQL Server AgentProxiesSSIS Package execution. The job runs without any problems with this user account. We then proceeded to configure the job to use a service account instead. Service account was specified under SecurityCredentials and SQL Server AgentProxiesSSIS Package Execution. The job fails with this error. Executed as user: domain\serviceaccount. ....00 for 32-bit Copyright (C) Microsoft Corp 1984-2005. All rights reserved. Started: 3:37:57 PM Error: 2010-03-09 15:37:57.95 Code: 0xC0016016 Source: Description: Failed to decrypt protected XML node "DTS:Password" with error 0x8009000B "Key not valid for use in specified state.". You may not be authorized to access this information. This error occurs when there is a cryptographic error. Verify that the correct key is available. End Error Error: 2010-03-09 15:38:01.19 Code: 0xC0047062 Source: Get CONT_VIEW_LADDER in latest 45days OracleFMDatabase [1] Description: System.Data.OracleClient.OracleException: ORA-01005: null password given; logon denied at System.Data.OracleClient.OracleException.Check(OciErrorHandle errorHandle, Int32 rc) at System.Data.OracleClient.OracleInternalConnection.OpenOnLocalTransaction(String userName, String password, String serverName, Boo... The package execution fa... The step failed. Based on some research, I then go into MS Visual Studio and Open the project. I change the property of the package security from "EncryptSensitiveWithUserKey" to "DontSaveSensitive" but i still get the above error. I am new to this so any help will be very much appreciated. Thanks in advance

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  • Sparc v440 unable 2 boot after recommended patch install

    - by user100660
    After installing the October 2011 recommended patch bundle on a Solaris 10 the host fails to boot. The output is {0} ok boot SC Alert: Host System has Reset screen not found. keyboard not found. Keyboard not present. Using ttya for input and output. Sun Fire V440, No Keyboard Copyright 1998-2003 Sun Microsystems, Inc. All rights reserved. OpenBoot 4.10.10, 8192 MB memory installed, Serial #54744555. Ethernet address 0:3:ba:43:55:eb, Host ID: 834355eb. Rebooting with command: boot Boot device: /pci@1f,700000/scsi@2/disk@0,0:a File and args: \ Evaluating: Out of memory Warning: Fcode sequence resulted in a net stack depth change of 1 Evaluating: Evaluating: The file just loaded does not appear to be executable. {3} ok If I do a boot -F failsafe the host come up and I'm able to mount the root device (ufs on /dev/dsk/c1t0d0s0) and nothing appears broken, i.e I can see the logfiles from the patch install etc. Root device still have 1GB+ free. Only 2 kernel patches was installed from the patch bundle: 144500-19 & 147440-02. Any hints how to debug it further, etc.

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  • sqlldr job not running through Autosys

    - by Frank
    I have a shell script that if run manually or via Cron executes fine and loads a delimited file using sqlldr to the database successfully. However via Autosys the script executes, sqlldr says it was successful, however the data is never actually loaded into the database. Has anyone ever experienced this before with the sqlldr/Autosys combination, and if so, knows of a workaround/fix?

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  • How can I store Rails uploads on a remote server (and not a common cloud host)?

    - by joshee
    I would like to store uploads from a Rails application on a different server than my application server. I want to keep costs to a minimum and host this other server in-house. I am planning to use Carrierwave for uploads. It seems Carrierwave interfaces with Fog for remote hosts. Is there a way I could set the other server to act as a Fog provider? How would I go about this setup? Or, is there some better and easier way to go about all this?

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  • Running SQL*Plus with bash causes wrong encoding

    - by Petr Mensik
    I have a problem with running SQL*Plus in the bash. Here is my code #!/bin/bash #curl http://192.168.168.165:8080/api_test/xsql/f_exp_order_1016.xsql > script.sql wget -O script.sql 192.168.168.165:8080/api_test/xsql/f_exp_order_1016.xsql set NLS_LANG=_.UTF8 sqlplus /nolog << ENDL connect login/password set sqlblanklines on start script.sql exit <<endl I download the insert statements from our intranet, put it into sql file and run it through SQL*Plus. This is working fine. My problem is that when I save the file script.sql my encoding goes wrong. All special characters(like íášc) are broken and that's causing inserting wrong characters into my DB. Encoding of that file is UTF-8, also UTF-8 is set on the XSQL page on our intranet. So I really don't know where could be a problem. And also any advices regarding to my script are welcomed, I am total newbie in Linux scripting:-)

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  • VERR_NOT_SUPPORTED when trying to create a windows 8 image in Virtualbox

    - by Bart Burg
    I'm trying to create a Virtualbox image of windows 8 consumer preview. I tried this tutorial: http://www.addictivetips.com/windows-tips/how-to-install-windows-8-on-virtualbox/ I did exactly what was said in that tutorial. At the step "Now navigate to the Windows 8 developer build ISO file that you downloaded and select it." I get the error "Could not get the storage format. (VERR_NOT_SUPPORTED)". I also get this if I use the regular wizard. Host OS: windows 7 Virtualbox version: 4.1.16 Both windows 8 64 bit and 32 bit tested.

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  • Problems during binding SpotLight to the instance

    - by Rodnower
    Hello, I have RAC Oracle11 installation built from 2 nodes running on Linux Red Hat OS. Now, I try to make connection from SpotLight running on Windows 7 to the Instance of one of nodes (TNS name of it is: LIBD1) This what I do: Make new connection - give user with SYS permission - connect - get error about that, that user not configured - User Configuration Wizard opens - give SYS as user with sysdba permissions (real SYS not other user with SYS permission) - check "configure new user" option - give new user name - next And I get error: DBMS_SQL access.denied. What I do wrong? Thank you for ahead.

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  • What causes Windows 8 Consumer Preview to lock-up / freeze / hang in Oracle VM VirtualBox?

    - by Zack Peterson
    I've installed Windows 8 Consumer Preview to a virtual machine using Oracle VM VirtualBox (4.1.14). It works well except for occasional temporary lock-up / freeze / hang interruptions. It will freeze for about a minute and then resume like normal for several more minutes before freezing again. Host Windows 7 Professional 64-bit 16 GB RAM Intel Core i7 (quad core, hyper threading, virtualization) CPU Guest Windows 8 Consumer Preview 64-bit 2 GB RAM 2 CPUs How should I configure VirtualBox to run Windows 8 well?

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  • creating tables on remote database

    - by raj
    I created a database link using database link. create public database link REMOTEDB connect to REMOTEUSER identified by REMOTEPWD using 'REMOTEDB'; then i create a table in remote db like, create table MYTABLE@REMOTEDB (name varchar2(20))); It says, ORA-02021 DDL operations are not allowed on| a remote database.. Will this Not work on any cost, or am i just missing some permissions to create ?

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  • what virtual machine should dell poweredg sc 1425 install?

    - by Nguyen Khanh Huy
    I'm intalling our local server and want to install a virtual machine but it seem vmware ESXi is not suit with our server Server: Dell SC 1424 CPU : 2 Xeon 3.2G (buss 800, cache L2 2M) Ram: 6G DDR ECC 266 Hard disk: 2 Hitachi Sata 1TB. Raid Dell Cerc 2s ( raid 0, 1) Nic: 2 Broadcom 1Gb/s I'm wondering if you're familiar with this area and have any idea about a VM software for our server. Just wanted to use server for some purposes ( web hosting, subversion and to experience some server OSs) Thank you for helping.

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  • Amazon Elastic Compute Cloud: how to set up a small and persistent test machine?

    - by mjustin
    Hello, is there a short tutorial available which shows how I can set up a small Linux server on Amazon EC2 so that I can configure it and launch it when needed? I understand that there is EBS to provide a persistent storage and that an image can be booted right from EBS. There are also existing images which are perfect starting points, with Linux installed, so I simply have to 'copy' somehow an existing image to EBS, and configure it there. Is there some article which guides through these steps?

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  • How do you move files to Windows Server 2008 cloud server from local computer?

    - by Mausimo
    I recently setup a Windows 2008 R2 server on Amazon EC2. I now want to move an application I created on my local desktop to this server. However, having never done this before I have no idea how to transfer files from my local desktop to the online server. What is the standard convention for transferring files from local machine to the server? As a side note, why can I not download the .NET framework 4 .exe file? Clicking the download link does nothing... (it is already a trusted site)

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  • Using Dropbox as a cloud based file share - does everyone need an upgraded account?

    - by aSkywalker
    We have a file share in our small office (3-5 users). We now have the need for the files to be accessible outside of the office. I like the idea of dropbox - we have been using it for small remote sharing. If we buy the upgrade account, and move 30 to 70 gigs of files to it, will every user have to have the pro account? I have submitted this question to dropbox - but thought that the advice of users here would also be valuable

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  • create shortcut in kubuntu for tora.

    - by darkapple
    I've installed TOra with a tutorial I found. So, to start TOra, I've to go to terminal and type following command '/usr/local/tora/bin/tora'. I want create a applicaion link in desktop to TOra. I tried creating application link but in terminal I see following /usr/local/tora/bin/tora: error while loading shared libraries: libclntsh.so.11.1: cannot open shared object file: No such file or directory help

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  • Any third party tools for Rackspace Cloud Monitoring data?

    - by Valien
    We have a decent number of Rackspace accounts and I'm adding the RS monitoring agent on most of my production servers. Thing is in order to view a snapshot of what is happening on each server I have to login to that specific account and then click that specific server. I'm wondering if there are any 3rd party tools out there that I can aggregate this data and display it like it's displayed when I login to Rackspace and view it from a dashboard. Anyone know of anything like that?

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  • Java Spotlight Episode 84: Anil Gaur on JavaEE 7

    - by Roger Brinkley
    Tweet Interview with Anil Gaur, VP of Java Platform for Enterprise Edition and GlassFish Server, on JavaEE 7. Joining us this week on the Java All Star Developer Panel are Dalibor Topic, Java Free and Open Source Software Ambassador and Arun Gupta, Java EE Guy. Right-click or Control-click to download this MP3 file. You can also subscribe to the Java Spotlight Podcast Feed to get the latest podcast automatically. If you use iTunes you can open iTunes and subscribe with this link:  Java Spotlight Podcast in iTunes. Show Notes News Tori Wieldt - Judges Selected for Duke's Choice Awards Donald Smith - #OpenJDK interview in Java Magazine Henrik Ståhl - Java 7 adoption at 23% JavaOne Kicks Off with Sunday Keynotes at Masonic Auditorium Jersey 2.0 M4 JSF 2.2 Latest Snapshot NetBeans IDE 7.2 - Deploy to Cloud Events May 30, OTN Java Developer Day, Redwood Shores June 11-14, Cloud Computing Expo, New York City June 12, Boulder JUG June 13, Denver JUG June 13, Eclipse Juno DemoCamp, Redwoood Shore June 13, JUG Münster June 14, Java Klassentreffen, Vienna, Austria June 18-20, QCon, New York City June 26-28, Jazoon, Zurich, Switzerland July 5, Java Forum, Stuttgart, Germany July 30-August 1, JVM Language Summit, Santa Clara Feature InterviewAnil Gaur is the Vice President of Java Platform, Enterprise Edition, and GlassFish Server at Oracle in the Fusion Middleware Group. Is responsible for creation of Java EE Specifications, Reference Implementation, and Compatibility Test Suites. Leading the evolution on Java EE into Cloud and PaaS environment through the Java EE 7 standard. Prior to that, managed the delivery of Java EE 6 Platform and SDK which quickly gained momentum in enterprise application development and deployments. In this episode we talk about GlassFish 3.1 release. Mail Bag What’s Cool RFR (L): Adding core file parsing on Mac OS X to SA Sergio Del Valle @swdelvalle is the 1,000 @JavaSpotlight twitter follower

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  • 10 Reasons Why Java is the Top Embedded Platform

    - by Roger Brinkley
    With the release of Oracle ME Embedded 3.2 and Oracle Java Embedded Suite, Java is now ready to fully move into the embedded developer space, what many have called the "Internet of Things". Here are 10 reasons why Java is the top embedded platform. 1. Decouples software development from hardware development cycle Development is typically split between both hardware and software in a traditional design flow . This leads to complicated co-design and requires prototype hardware to be built. This parallel and interdependent hardware / software design process typically leads to two or more re-development phases. With Embedded Java, all specific work is carried out in software, with the (processor) hardware implementation fully decoupled. This with eliminate or at least reduces the need for re-spins of software or hardware and the original development efforts can be carried forward directly into product development and validation. 2. Development and testing can be done (mostly) using standard desktop systems through emulation Because the software and hardware are decoupled it now becomes easier to test the software long before it reaches the hardware through hardware emulation. Emulation is the ability of a program in an electronic device to imitate another program or device. In the past Java tools like the Java ME SDK and the SunSPOTs Solarium provided developers with emulation for a complete set of mobile telelphones and SunSpots. This often included network interaction or in the case of SunSPOTs radio communication. What emulation does is speed up the development cycle by refining the software development process without the need of hardware. The software is fixed, redefined, and refactored without the timely expense of hardware testing. With tools like the Java ME 3.2 SDK, Embedded Java applications can be be quickly developed on Windows based platforms. In the end of course developers should do a full set of testing on the hardware as incompatibilities between emulators and hardware will exist, but the amount of time to do this should be significantly reduced. 3. Highly productive language, APIs, runtime, and tools mean quick time to market Charles Nutter probably said it best in twitter blog when he tweeted, "Every time I see a piece of C code I need to port, my heart dies a little. Then I port it to 1/4 as much Java, and feel better." The Java environment is a very complex combination of a Java Virtual Machine, the Java Language, and it's robust APIs. Combine that with the Java ME SDK for small devices or just Netbeans for the larger devices and you have a development environment where development time is reduced significantly meaning the product can be shipped sooner. Of course this is assuming that the engineers don't get slap happy adding new features given the extra time they'll have.  4. Create high-performance, portable, secure, robust, cross-platform applications easily The latest JIT compilers for the Oracle JVM approach the speed of C/C++ code, and in some memory allocation intensive circumstances, exceed it. And specifically for the embedded devices both ME Embedded and SE Embedded have been optimized for the smaller footprints.  In portability Java uses Bytecode to make the language platform independent. This creates a write once run anywhere environment that allows you to develop on one platform and execute on others and avoids a platform vendor lock in. For security, Java achieves protection by confining a Java program to a Java execution environment and not allowing it to access other parts of computer.  In variety of systems the program must execute reliably to be robust. Finally, Oracle Java ME Embedded is a cross-industry and cross-platform product optimized in release version 3.2 for chipsets based on the ARM architectures. Similarly Oracle Java SE Embedded works on a variety of ARM V5, V6, and V7, X86 and Power Architecture Linux. 5. Java isolates your apps from language and platform variations (e.g. C/C++, kernel, libc differences) This has been a key factor in Java from day one. Developers write to Java and don't have to worry about underlying differences in the platform variations. Those platform variations are being managed by the JVM. Gone are the C/C++ problems like memory corruptions, stack overflows, and other such bugs which are extremely difficult to isolate. Of course this doesn't imply that you won't be able to get away from native code completely. There could be some situations where you have to write native code in either assembler or C/C++. But those instances should be limited. 6. Most popular embedded processors supported allowing design flexibility Java SE Embedded is now available on ARM V5, V6, and V7 along with Linux on X86 and Power Architecture platforms. Java ME Embedded is available on system based on ARM architecture SOCs with low memory footprints and a device emulation environment for x86/Windows desktop computers, integrated with the Java ME SDK 3.2. A standard binary of Oracle Java ME Embedded 3.2 for ARM KEIL development boards based on ARM Cortex M-3/4 (KEIL MCBSTM32F200 using ST Micro SOC STM32F207IG) will soon be available for download from the Oracle Technology Network (OTN). 7. Support for key embedded features (low footprint, power mgmt., low latency, etc) All embedded devices by there very nature are constrained in some way. Economics may dictate a device with a less RAM and ROM. The CPU needs can dictate a less powerful device. Power consumption is another major resource in some embedded devices as connecting to consistent power source not always desirable or possible. For others they have to constantly on. Often many of these systems are headless (in the embedded space it's almost always Halloween).  For memory resources ,Java ME Embedded can run in environment as low as 130KB RAM/350KB ROM for a minimal, customized configuration up to 700KB RAM/1500KB ROM for the full, standard configuration. Java SE Embedded is designed for environments starting at 32MB RAM/39MB  ROM. Key functionality of embedded devices such as auto-start and recovery, flexible networking are fully supported. And while Java SE Embedded has been optimized for mid-range to high-end embedded systems, Java ME Embedded is a Java runtime stack optimized for small embedded systems. It provides a robust and flexible application platform with dedicated embedded functionality for always-on, headless (no graphics/UI), and connected devices. 8. Leverage huge Java developer ecosystem (expertise, existing code) There are over 9 million developers in world that work on Java, and while not all of them work on embedded systems, their wealth of expertise in developing applications is immense. In short, getting a java developer to work on a embedded system is pretty easy, you probably have a java developer living in your subdivsion.  Then of course there is the wealth of existing code. The Java Embedded Community on Java.net is central gathering place for embedded Java developers. Conferences like Embedded Java @ JavaOne and the a variety of hardware vendor conferences like Freescale Technlogy Forums offer an excellent opportunity for those interested in embedded systems. 9. Easily create end-to-end solutions integrated with Java back-end services In the "Internet of Things" things aren't on an island doing an single task. For instance and embedded drink dispenser doesn't just dispense a beverage, but could collect money from a credit card and also send information about current sales. Similarly, an embedded house power monitoring system doesn't just manage the power usage in a house, but can also send that data back to the power company. In both cases it isn't about the individual thing, but monitoring a collection of  things. How much power did your block, subdivsion, area of town, town, county, state, nation, world use? How many Dr Peppers were purchased from thing1, thing2, thingN? The point is that all this information can be collected and transferred securely  (and believe me that is key issue that Java fully supports) to back end services for further analysis. And what better back in service exists than a Java back in service. It's interesting to note that on larger embedded platforms that support the Java Embedded Suite some of the analysis might be done on the embedded device itself as JES has a glassfish server and Java Database as part of the installation. The result is an end to end Java solution. 10. Solutions from constrained devices to server-class systems Just take a look at some of the embedded Java systems that have already been developed and you'll see a vast range of solutions. Livescribe pen, Kindle, each and every Blu-Ray player, Cisco's Advanced VOIP phone, KronosInTouch smart time clock, EnergyICT smart metering, EDF's automated meter management, Ricoh Printers, and Stanford's automated car  are just a few of the list of embedded Java implementation that continues to grow. Conclusion Now if your a Java Developer you probably look at some of the 10 reasons and say "duh", but for the embedded developers this is should be an eye opening list. And with the release of ME Embedded 3.2 and the Java Embedded Suite the embedded developers life is now a whole lot easier. For the Java developer your employment opportunities are about to increase. For both it's a great time to start developing Java for the "Internet of Things".

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  • Talking JavaOne with Rock Star Raghavan Srinivas

    - by Janice J. Heiss
    Raghavan Srinivas, affectionately known as “Rags,” is a two-time JavaOne Rock Star (from 2005 and 2011) who, as a Developer Advocate at Couchbase, gets his hands dirty with emerging technology directions and trends. His general focus is on distributed systems, with a specialization in cloud computing. He worked on Hadoop and HBase during its early stages, has spoken at conferences world-wide on a variety of technical topics, conducted and organized Hands-on Labs and taught graduate classes.He has 20 years of hands-on software development and over 10 years of architecture and technology evangelism experience and has worked for Digital Equipment Corporation, Sun Microsystems, Intuit and Accenture. He has evangelized and influenced the architecture of numerous technologies including the early releases of JavaFX, Java, Java EE, Java and XML, Java ME, AJAX and Web 2.0, and Java Security.Rags will be giving these sessions at JavaOne 2012: CON3570 -- Autosharding Enterprise to Social Gaming Applications with NoSQL and Couchbase CON3257 -- Script Bowl 2012: The Battle of the JVM-Based Languages (with Guillaume Laforge, Aaron Bedra, Dick Wall, and Dr Nic Williams) Rags emphasized the importance of the Cloud: “The Cloud and the Big Data are popular technologies not merely because they are trendy, but, largely due to the fact that it's possible to do massive data mining and use that information for business advantage,” he explained. I asked him what we should know about Hadoop. “Hadoop,” he remarked, “is mainly about using commodity hardware and achieving unprecedented scalability. At the heart of all this is the Java Virtual Machine which is running on each of these nodes. The vision of taking the processing to where the data resides is made possible by Java and Hadoop.” And the most exciting thing happening in the world of Java today? “I read recently that Java projects on github.com are just off the charts when compared to other projects. It's exciting to realize the robust growth of Java and the degree of collaboration amongst Java programmers.” He encourages Java developers to take advantage of Java 7 for Mac OS X which is now available for download. At the same time, he also encourages us to read the caveats.

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  • Solaris: What comes next?

    - by alanc
    As you probably know by now, a few months ago, we released Solaris 11 after years of development. That of course means we now need to figure out what comes next - if Solaris 11 is “The First Cloud OS”, then what do we need to make future releases of Solaris be, to be modern and competitive when they're released? So we've been having planning and brainstorming meetings, and I've captured some notes here from just one of those we held a couple weeks ago with a number of the Silicon Valley based engineers. Now before someone sees an idea here and calls their product rep wanting to know what's up, please be warned what follows are rough ideas, and as I'll discuss later, none of them have any committment, schedule, working code, or even plan for integration in any possible future product at this time. (Please don't make me force you to read the full Oracle future product disclaimer here, you should know it by heart already from the front of every Oracle product slide deck.) To start with, we did some background research, looking at ideas from other Oracle groups, and competitive OS'es. We examined what was hot in the technology arena and where the interesting startups were heading. We then looked at Solaris to see where we could apply those ideas. Making Network Admins into Socially Networking Admins We all know an admin who has grumbled about being the only one stuck late at work to fix a problem on the server, or having to work the weekend alone to do scheduled maintenance. But admins are humans (at least most are), and crave companionship and community with their fellow humans. And even when they're alone in the server room, they're never far from a network connection, allowing access to the wide world of wonders on the Internet. Our solution here is not building a new social network - there's enough of those already, and Oracle even has its own Oracle Mix social network already. What we proposed is integrating Solaris features to help engage our system admins with these social networks, building community and bringing them recognition in the workplace, using achievement recognition systems as found in many popular gaming platforms. For instance, if you had a Facebook account, and a group of admin friends there, you could register it with our Social Network Utility For Facebook, and then your friends might see: Alan earned the achievement Critically Patched (April 2012) for patching all his servers. Matt is only at 50% - encourage him to complete this achievement today! To avoid any undue risk of advertising who has unpatched servers that are easier targets for hackers to break into, this information would be tightly protected via Facebook's world-renowned privacy settings to avoid it falling into the wrong hands. A related form of gamification we considered was replacing simple certfications with role-playing-game-style Experience Levels. Instead of just knowing an admin passed a test establishing a given level of competency, these would provide recruiters with a more detailed level of how much real-world experience an admin has. Achievements such as the one above would feed into it, but larger numbers of experience points would be gained by tougher or more critical tasks - such as recovering a down system, or migrating a service to a new platform. (As long as it was an Oracle platform of course - migrating to an HP or IBM platform would cause the admin to lose points with us.) Unfortunately, we couldn't figure out a good way to prevent (if you will) “gaming” the system. For instance, a disgruntled admin might decide to start ignoring warnings from FMA that a part is beginning to fail or skip preventative maintenance, in the hopes that they'd cause a catastrophic failure to earn more points for bolstering their resume as they look for a job elsewhere, and not worrying about the effect on your business of a mission critical server going down. More Z's for ZFS Our suggested new feature for ZFS was inspired by the worlds most successful Z-startup of all time: Zynga. Using the Social Network Utility For Facebook described above, we'd tie it in with ZFS monitoring to help you out when you find yourself in a jam needing more disk space than you have, and can't wait a month to get a purchase order through channels to buy more. Instead with the click of a button you could post to your group: Alan can't find any space in his server farm! Can you help? Friends could loan you some space on their connected servers for a few weeks, knowing that you'd return the favor when needed. ZFS would create a new filesystem for your use on their system, and securely share it with your system using Kerberized NFS. If none of your friends have space, then you could buy temporary use space in small increments at affordable rates right there in Facebook, using your Facebook credits, and then file an expense report later, after the urgent need has passed. Universal Single Sign On One thing all the engineers agreed on was that we still had far too many "Single" sign ons to deal with in our daily work. On the web, every web site used to have its own password database, forcing us to hope we could remember what login name was still available on each site when we signed up, and which unique password we came up with to avoid having to disclose our other passwords to a new site. In recent years, the web services world has finally been reducing the number of logins we have to manage, with many services allowing you to login using your identity from Google, Twitter or Facebook. So we proposed following their lead, introducing PAM modules for web services - no more would you have to type in whatever login name IT assigned and try to remember the password you chose the last time password aging forced you to change it - you'd simply choose which web service you wanted to authenticate against, and would login to your Solaris account upon reciept of a cookie from their identity service. Pinning notes to the cloud We also all noted that we all have our own pile of notes we keep in our daily work - in text files in our home directory, in notebooks we carry around, on white boards in offices and common areas, on sticky notes on our monitors, or on scraps of paper pinned to our bulletin boards. The contents of the notes vary, some are things just for us, some are useful for our groups, some we would share with the world. For instance, when our group moved to a new building a couple years ago, we had a white board in the hallway listing all the NIS & DNS servers, subnets, and other network configuration information we needed to set up our Solaris machines after the move. Similarly, as Solaris 11 was finishing and we were all learning the new network configuration commands, we shared notes in wikis and e-mails with our fellow engineers. Users may also remember one of the popular features of Sun's old BigAdmin site was a section for sharing scripts and tips such as these. Meanwhile, the online "pin board" at Pinterest is taking the web by storm. So we thought, why not mash those up to solve this problem? We proposed a new BigAddPin site where users could “pin” notes, command snippets, configuration information, and so on. For instance, once they had worked out the ideal Automated Installation manifest for their app server, they could pin it up to share with the rest of their group, or choose to make it public as an example for the world. Localized data, such as our group's notes on the servers for our subnet, could be shared only to users connecting from that subnet. And notes that they didn't want others to see at all could be marked private, such as the list of phone numbers to call for late night pizza delivery to the machine room, the birthdays and anniversaries they can never remember but would be sleeping on the couch if they forgot, or the list of automatically generated completely random, impossible to remember root passwords to all their servers. For greater integration with Solaris, we'd put support right into the command shells — redirect output to a pinned note, set your path to include pinned notes as scripts you can run, or bring up your recent shell history and pin a set of commands to save for the next time you need to remember how to do that operation. Location service for Solaris servers A longer term plan would involve convincing the hardware design groups to put GPS locators with wireless transmitters in future server designs. This would help both admins and service personnel trying to find servers in todays massive data centers, and could feed into location presence apps to help show potential customers that while they may not see many Solaris machines on the desktop any more, they are all around. For instance, while walking down Wall Street it might show “There are over 2000 Solaris computers in this block.” [Note: this proposal was made before the recent media coverage of a location service aggregrator app with less noble intentions, and in hindsight, we failed to consider what happens when such data similarly falls into the wrong hands. We certainly wouldn't want our app to be misinterpreted as “There are over $20 million dollars of SPARC servers in this building, waiting for you to steal them.” so it's probably best it was rejected.] Harnessing the power of the GPU for Security Most modern OS'es make use of the widespread availability of high powered GPU hardware in today's computers, with desktop environments requiring 3-D graphics acceleration, whether in Ubuntu Unity, GNOME Shell on Fedora, or Aero Glass on Windows, but we haven't yet made Solaris fully take advantage of this, beyond our basic offering of Compiz on the desktop. Meanwhile, more businesses are interested in increasing security by using biometric authentication, but must also comply with laws in many countries preventing discrimination against employees with physical limations such as missing eyes or fingers, not to mention the lost productivity when employees can't login due to tinted contacts throwing off a retina scan or a paper cut changing their fingerprint appearance until it heals. Fortunately, the two groups considering these problems put their heads together and found a common solution, using 3D technology to enable authentication using the one body part all users are guaranteed to have - pam_phrenology.so, a new PAM module that uses an array USB attached web cams (or just one if the user is willing to spin their chair during login) to take pictures of the users head from all angles, create a 3D model and compare it to the one in the authentication database. While Mythbusters has shown how easy it can be to fool common fingerprint scanners, we have not yet seen any evidence that people can impersonate the shape of another user's cranium, no matter how long they spend beating their head against the wall to reshape it. This could possibly be extended to group users, using modern versions of some of the older phrenological studies, such as giving all users with long grey beards access to the System Architect role, or automatically placing users with pointy spikes in their hair into an easy use mode. Unfortunately, there are still some unsolved technical challenges we haven't figured out how to overcome. Currently, a visit to the hair salon causes your existing authentication to expire, and some users have found that shaving their heads is the only way to avoid bad hair days becoming bad login days. Reaction to these ideas After gathering all our notes on these ideas from the engineering brainstorming meeting, we took them in to present to our management. Unfortunately, most of their reaction cannot be printed here, and they chose not to accept any of these ideas as they were, but they did have some feedback for us to consider as they sent us back to the drawing board. They strongly suggested our ideas would be better presented if we weren't trying to decipher ink blotches that had been smeared by the condensation when we put our pint glasses on the napkins we were taking notes on, and to that end let us know they would not be approving any more engineering offsites in Irish themed pubs on the Friday of a Saint Patrick's Day weekend. (Hopefully they mean that situation specifically and aren't going to deny the funding for travel to this year's X.Org Developer's Conference just because it happens to be in Bavaria and ending on the Friday of the weekend Oktoberfest starts.) They recommended our research techniques could be improved over just sitting around reading blogs and checking our Facebook, Twitter, and Pinterest accounts, such as considering input from alternate viewpoints on topics such as gamification. They also mentioned that Oracle hadn't fully adopted some of Sun's common practices and we might have to try harder to get those to be accepted now that we are one unified company. So as I said at the beginning, don't pester your sales rep just yet for any of these, since they didn't get approved, but if you have better ideas, pass them on and maybe they'll get into our next batch of planning.

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  • Combined Likelihood Models

    - by Lukas Vermeer
    In a series of posts on this blog we have already described a flexible approach to recording events, a technique to create analytical models for reporting, a method that uses the same principles to generate extremely powerful facet based predictions and a waterfall strategy that can be used to blend multiple (possibly facet based) models for increased accuracy. This latest, and also last, addition to this sequence of increasing modeling complexity will illustrate an advanced approach to amalgamate models, taking us to a whole new level of predictive modeling and analytical insights; combination models predicting likelihoods using multiple child models. The method described here is far from trivial. We therefore would not recommend you apply these techniques in an initial implementation of Oracle Real-Time Decisions. In most cases, basic RTD models or the approaches described before will provide more than enough predictive accuracy and analytical insight. The following is intended as an example of how more advanced models could be constructed if implementation results warrant the increased implementation and design effort. Keep implemented statistics simple! Combining likelihoods Because facet based predictions are based on metadata attributes of the choices selected, it is possible to generate such predictions for more than one attribute of a choice. We can predict the likelihood of acceptance for a particular product based on the product category (e.g. ‘toys’), as well as based on the color of the product (e.g. ‘pink’). Of course, these two predictions may be completely different (the customer may well prefer toys, but dislike pink products) and we will have to somehow combine these two separate predictions to determine an overall likelihood of acceptance for the choice. Perhaps the simplest way to combine multiple predicted likelihoods into one is to calculate the average (or perhaps maximum or minimum) likelihood. However, this would completely forgo the fact that some facets may have a far more pronounced effect on the overall likelihood than others (e.g. customers may consider the product category more important than its color). We could opt for calculating some sort of weighted average, but this would require us to specify up front the relative importance of the different facets involved. This approach would also be unresponsive to changing consumer behavior in these preferences (e.g. product price bracket may become more important to consumers as a result of economic shifts). Preferably, we would want Oracle Real-Time Decisions to learn, act upon and tell us about, the correlations between the different facet models and the overall likelihood of acceptance. This additional level of predictive modeling, where a single supermodel (no pun intended) combines the output of several (facet based) models into a single prediction, is what we call a combined likelihood model. Facet Based Scores As an example, we have implemented three different facet based models (as described earlier) in a simple RTD inline service. These models will allow us to generate predictions for likelihood of acceptance for each product based on three different metadata fields: Category, Price Bracket and Product Color. We will use an Analytical Scores entity to store these different scores so we can easily pass them between different functions. A simple function, creatively named Compute Analytical Scores, will compute for each choice the different facet scores and return an Analytical Scores entity that is stored on the choice itself. For each score, a choice attribute referring to this entity is also added to be returned to the client to facilitate testing. One Offer To Predict Them All In order to combine the different facet based predictions into one single likelihood for each product, we will need a supermodel which can predict the likelihood of acceptance, based on the outcomes of the facet models. This model will not need to consider any of the attributes of the session, because they are already represented in the outcomes of the underlying facet models. For the same reason, the supermodel will not need to learn separately for each product, because the specific combination of facets for this product are also already represented in the output of the underlying models. In other words, instead of learning how session attributes influence acceptance of a particular product, we will learn how the outcomes of facet based models for a particular product influence acceptance at a higher level. We will therefore be using a single All Offers choice to represent all offers in our combined likelihood predictions. This choice has no attribute values configured, no scores and not a single eligibility rule; nor is it ever intended to be returned to a client. The All Offers choice is to be used exclusively by the Combined Likelihood Acceptance model to predict the likelihood of acceptance for all choices; based solely on the output of the facet based models defined earlier. The Switcheroo In Oracle Real-Time Decisions, models can only learn based on attributes stored on the session. Therefore, just before generating a combined prediction for a given choice, we will temporarily copy the facet based scores—stored on the choice earlier as an Analytical Scores entity—to the session. The code for the Predict Combined Likelihood Event function is outlined below. // set session attribute to contain facet based scores. // (this is the only input for the combined model) session().setAnalyticalScores(choice.getAnalyticalScores); // predict likelihood of acceptance for All Offers choice. CombinedLikelihoodChoice c = CombinedLikelihood.getChoice("AllOffers"); Double la = CombinedLikelihoodAcceptance.getChoiceEventLikelihoods(c, "Accepted"); // clear session attribute of facet based scores. session().setAnalyticalScores(null); // return likelihood. return la; This sleight of hand will allow the Combined Likelihood Acceptance model to predict the likelihood of acceptance for the All Offers choice using these choice specific scores. After the prediction is made, we will clear the Analytical Scores session attribute to ensure it does not pollute any of the other (facet) models. To guarantee our combined likelihood model will learn based on the facet based scores—and is not distracted by the other session attributes—we will configure the model to exclude any other inputs, save for the instance of the Analytical Scores session attribute, on the model attributes tab. Recording Events In order for the combined likelihood model to learn correctly, we must ensure that the Analytical Scores session attribute is set correctly at the moment RTD records any events related to a particular choice. We apply essentially the same switching technique as before in a Record Combined Likelihood Event function. // set session attribute to contain facet based scores // (this is the only input for the combined model). session().setAnalyticalScores(choice.getAnalyticalScores); // record input event against All Offers choice. CombinedLikelihood.getChoice("AllOffers").recordEvent(event); // force learn at this moment using the Internal Dock entry point. Application.getPredictor().learn(InternalLearn.modelArray, session(), session(), Application.currentTimeMillis()); // clear session attribute of facet based scores. session().setAnalyticalScores(null); In this example, Internal Learn is a special informant configured as the learn location for the combined likelihood model. The informant itself has no particular configuration and does nothing in itself; it is used only to force the model to learn at the exact instant we have set the Analytical Scores session attribute to the correct values. Reporting Results After running a few thousand (artificially skewed) simulated sessions on our ILS, the Decision Center reporting shows some interesting results. In this case, these results reflect perfectly the bias we ourselves had introduced in our tests. In practice, we would obviously use a wider range of customer attributes and expect to see some more unexpected outcomes. The facetted model for categories has clearly picked up on the that fact our simulated youngsters have little interest in purchasing the one red-hot vehicle our ILS had on offer. Also, it would seem that customer age is an excellent predictor for the acceptance of pink products. Looking at the key drivers for the All Offers choice we can see the relative importance of the different facets to the prediction of overall likelihood. The comparative importance of the category facet for overall prediction might, in part, be explained by the clear preference of younger customers for toys over other product types; as evident from the report on the predictiveness of customer age for offer category acceptance. Conclusion Oracle Real-Time Decisions' flexible decisioning framework allows for the construction of exceptionally elaborate prediction models that facilitate powerful targeting, but nonetheless provide insightful reporting. Although few customers will have a direct need for such a sophisticated solution architecture, it is encouraging to see that this lies within the realm of the possible with RTD; and this with limited configuration and customization required. There are obviously numerous other ways in which the predictive and reporting capabilities of Oracle Real-Time Decisions can be expanded upon to tailor to individual customers needs. We will not be able to elaborate on them all on this blog; and finding the right approach for any given problem is often more difficult than implementing the solution. Nevertheless, we hope that these last few posts have given you enough of an understanding of the power of the RTD framework and its models; so that you can take some of these ideas and improve upon your own strategy. As always, if you have any questions about the above—or any Oracle Real-Time Decisions design challenges you might face—please do not hesitate to contact us; via the comments below, social media or directly at Oracle. We are completely multi-channel and would be more than glad to help. :-)

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