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  • JavaOne Japan, Russia, and India Coming Up

    - by arungupta
    As mentioned earlier, regional JavaOne conferences are just around the corner. More details are available and listed below: JavaOne Tokyo (Japan) Date: April 4-5, 2012 Location: Academy Hills 49F, Roppongi Tokyo Event Web site : Japanese | English JavaOne Moscow (Russia) Date: April 17-18, 2012 Location: Russian Academy of Sciences Event Web site : Russian | English JavaOne Hyderabad (India) Date: May 3-4, 2012 Location: Hyderabad International Convention Center Event Web site : English We're looking forward to meeting you at one of those events to chat anything Java EE and GlassFish! By the way, the Call for Papers for JavaOne 2012 San Francisco is closing on April 9th so make sure to submit your talk today.

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  • PanelCollection Confusion ... or, what is an event root ?

    - by frank.nimphius
    Normal 0 false false false EN-US X-NONE X-NONE /* 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:0in; mso-para-margin-bottom:.0001pt; 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;} A command button added to the toolbar of a Panel Collection component does not cause field validation in a form when pressed. While this appears confusing it works as designed. Instead of a full page re-rendering, ADF Faces events and components can trigger partial page refresh, in which only portions of a page are refresh upon a request. In addition, some components - including the af:popup and af:subForm - represent event roots. Event roots don't propagated event notification outside of the component tag boundary, which means that the ADF Faces lifecycle only executed on components that are children of the event root component. The PanelCollection component is an event root and therefore only validates and refreshes data of its child components.

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  • History of Mobile Technology

    - by David Dorf
    Over the last ten years, mobile phones have gone through several incremental technology leaps that have added capabilities that impact the retail industry.  I've listed the six major ones below, along with their long-lasting impact. 1. Location In the US, the FCC required mobile phones to implement E911 (emergency calls) by 2006, requiring the caller to be located to within 300 meters.  Back in 2000, GPS was opened up for civilian use, and by 2004 Qualcomm had figured out how to use GPS in mobile phones.  So mobile operators moved from cell tower triangulation to GPS, principally for E911.  But then lots of other uses became apparent, especially navigation.  The earliest mobile apps from retailers made it easy to find nearby stores, and companies are looking at ways to use WiFi triangulation inside stores. 2. Computer Vision In 1997 Philippe Kahn shared a photo of his newborn using a mobile phone thus launching the popularity of instant visual communications.  Over the years the quality of the cameras got better, reaching the point where barcodes could be read around 2008.  That's when Occipital came on the scene with their Red Laser application, which was eventually acquired by eBay.  This opened up the ability for consumers to easily price compare inside stores.  Other interesting apps included Tesco's Wine Finder and Amazon's Price Checker, both allowing products to be identified by picture. 3. Augmented Reality Once the mobile phone had GPS, a video camera, and compass functionality it was suddenly possible to overlay digital information on the screen in real-time.  Yelp, which was using GPS to find nearby merchants, created a backdoor called Monocle on the iPhone that showed nearby merchants overlayed on the video camera view.  Today AR apps are mostly used by retailers for marketing, like Moosejaw's app that undresses models in their catalog. 4. Geo-Fencing So if we're able to track the location of a mobile phone, why not use that context to offer timely information?  My first experience with geo-fencing came courtesy of North Face, the outdoor enthusiast store. When a mobile phone enters a predetermined area, like near a store, a text message is sent to phone with an offer or useful information.  Of course retailers can geo-fence their competitors as well and find out which customers are aren't so loyal. 5. Digital Wallet Mobile payments leverage different technologies such as NFC, QRCodes, bluetooth, and SMS to facilitate communication between the consumers's phone and the retailer's point-of-sale. The key here is the potential to consolidate loyalty cards, coupons, and bank cards into the mobile phone and enable faster checkout.  Nobody does this better than Starbucks today, but McDonald's and Duncan Donuts aren't far behind.  Google, Isis, Paypal, Square, and MCX are all vying for leadership in this area.  If NFC does finally take off, it will be leveraged by retailers in more places than just the POS. 6. Voice Response Mobile Phones have had the ability to interpret simple voice commands for a while, but Google and Amazon were the first to use voice to allow searches for products.  Allowing searches by text, barcode, and voice makes it easy to comparison shop in the aisles.  Walmart even uses voice to build shopping lists, and if the Siri API is even opened we could see lots more innovation in this area.

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  • OSS App Hackathon @ National Information Society Agency

    - by Edward J. Yoon
    Yesterday, there was a OSS App Hackathon arranged by the NIA (National Information Society Agency) in Seoul. I attended as a panel of judges w/ Prof. Lee of the Next, NHN University. A lot of people were in there. You can read more details (Korean news) here:  - http://news.naver.com/main/read.nhn?mode=LSD&mid=sec&sid1=105&oid=138&aid=0001997038

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  • YouTube: How to Style an AngularJS App on the Device

    - by Geertjan
    I installed the Droid@Screen plugin into NetBeans IDE 8 so that you can see the Android device that I held in my hand while doing the demo below. The demo shows the usage of the Terminal window to create an Ionic Framework application (from "tabs", which is one of the cool templates that the framework provides), i.e., that means I can use AngularJS to create a Cordova application out of the box, with many mobile-oriented components available out of the box. Then I deploy the app to the Chrome browser on Android, which means I can interact with it in NetBeans, e.g., for CSS styling and JavaScript debugging. In this demo, I show how the background color of the deployed app can be changed live from NetBeans. After that, once I'm happy with the styling, I deploy the app again, but this time as a Cordova app, i.e., a hybrid HTML5 application, which means the app is packaged as a native app and deployed directly to the device from NetBeans. All of the above can be viewed here in about 4 minutes in this silent movie: Direct link to the (silent) movie: https://www.youtube.com/watch?v=isP5TNI3kYk

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  • Reminder: GlassFish 3.1 Clustering Webinar Today!

    - by alexismp
    Quick reminder for those of you that missed the GlassFish Clustering Webinar from March, we have a new session today (June 28th, 2011). The session is planned at 10:00 a.m. PT / 1:00 p.m. ET / 19.00 CT and you'll need to register first. John Clingan, Principal Product Manager for GlassFish, will walk you through the various clustering features introduced and enhanced in version 3.1. This includes the SSH-based provisioning of clusters (never log in to any machine again), the centralized administration, High Availability and smart failover, load-balancer, Domain Admin Server (DAS) performance improvements, cluster deployments and more. Other than learning about these new product features this is also your chance to ask questions to John and other GlassFish team members. See you there!

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  • Is Infiniband going to get squeezed by iWARP and external QPI?

    - by andy.grover
    The Inquirer certainly thinks so.However, I'm not so sure it makes sense to compare Infiniband to an as-yet-unannounced optical external QPI. QPI is currently a processor interconnect. CPUs, RAM, and devices connected by it are conceptually part of the same machine -- they run a single OS, for example. They are both "networks" or "fabrics" but they have very different design trade-offs.Another widely-used bus in the system is closer to Infiniband than QPI -- PCI Express. Isn't it more likely that PCIe could take on IB? There are companies already who have solutions that use external PCI Express for cluster interconnect, but these have not gained significant market share. Why would QPI, a technology whose sweet spot is even further from Infiniband's than PCIe, be able to challenge Infiniband? It's hard to speculate without much information, but right now it doesn't seem likely to me.The other prediction made in the article is that Intel's 10GbE iWARP card could squeeze IB on the low end, due to its greater compatibility and lower cost.It's definitely never a good idea to bet against Ethernet when it comes to mass-market, commodity networking. Ethernet will win. 10GbE will win. But, there are now two competing ways to implement the low-latency RDMA Verbs interface on top of Ethernet. iWARP is essentially RDMA over TCP/IP over Ethernet. The new alternative is IBoE (Infiniband over Ethernet, aka RoCEE, aka "Rocky"). This encapsulates the IB packet protocol directly in the Ethernet frame. It loses the layer 3 routability of iWARP, but better maintains software compatibility with existing apps that use IB, and is simpler to implement in both software and hardware. iWARP has a substantial head start, but I believe that IBoE silicon will eventually be cheaper, and more likely to be implemented in commodity Ethernet hardware.I think IBoE is going to take low-end market share from traditional IB, but I think this is a situation IB hardware vendors have no problem accepting. Commoditized IBoE NICs invite greater use of RDMA features, and when higher performance is needed, customers can upgrade to "real" IB, maintaining IB's justification for higher prices. (IB max interconnect speeds have historically been 2-4x higher than Ethernet, and I don't see that changing.)(ObDisclosure: My current employer now sells IB hardware. I previously also worked at Intel. My opinions are my own, duh.)

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  • Code Coverage for Maven Integrated in NetBeans IDE 7.2

    - by Geertjan
    In NetBeans IDE 7.2, JaCoCo is supported natively, i.e., out of the box, as a code coverage engine for Maven projects, since Cobertura does not work with JDK 7 language constructs. (Although, note that Cobertura is supported as well in NetBeans IDE 7.2.) It isn't part of NetBeans IDE 7.2 Beta, so don't even try there; you need some development build from after that. I downloaded the latest development build today. To enable JaCoCo features in NetBeans IDE, you need do no different to what you'd do when enabling JaCoCo in Maven itself, which is rather wonderful. In both cases, all you need to do is add this to the "plugins" section of your POM: <plugin> <groupId>org.jacoco</groupId> <artifactId>jacoco-maven-plugin</artifactId> <version>0.5.7.201204190339</version> <executions> <execution> <goals> <goal>prepare-agent</goal> </goals> </execution> <execution> <id>report</id> <phase>prepare-package</phase> <goals> <goal>report</goal> </goals> </execution> </executions> </plugin> Now you're done and ready to examine the code coverage of your tests, whether they are JUnit or TestNG. At this point, i.e., for no other reason than that you added the above snippet into your POM, you will have a new Code Coverage menu when you right-click on the project node: If you click Show Report above, the Code Coverage Report window opens. Here, once you've run your tests, you can actually see how many classes have been covered by your tests, which is pretty useful since 100% tests passing doesn't mean much when you've only tested one class, as you can see very graphically below: Then, when you click the bars in the Code Coverage Report window, the class under test is shown, with the methods for which tests exist highlighted in green and those that haven't been covered in red: (Note: Of course, striving for 100% code coverage is a bit nonsensical. For example, writing tests for your getters and setters may not be the most useful way to spend one's time. But being able to measure, and visualize, code coverage is certainly useful regardless of the percentage you're striving to achieve.) Best of all about all this is that everything you see above is available out of the box in NetBeans IDE 7.2. Take a look at what else NetBeans IDE 7.2 brings for the first time to the world of Maven: http://wiki.netbeans.org/NewAndNoteworthyNB72#Maven

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  • Handy Tool for Code Cleanup: Automated Class Element Reordering

    - by Geertjan
    You're working on an application and this thought occurs to you: "Wouldn't it be cool if I could define rules specifying that all static members, initializers, and fields should always be at the top of the class? And then, whenever I wanted to, I'd start off a process that would actually do the reordering for me, moving class elements around, based on the rules I had defined, automatically, across one or more classes or packages or even complete code bases, all at the same time?" Well, here you go: That's where you can set rules for the ordering of your class members. A new hint (i.e., new in NetBeans IDE 7.3), which you need to enable yourself because by default it is disabled, let's the IDE show a hint in the Java Editor whenever there's code that isn't ordered according to the rules you defined: The first element in a file that the Java Editor identifies as not matching your rules gets a lightbulb hint shown in the left sidebar: Then, when you click the lightbulb, automatically the file is reordered according to your defined rules. However, it's not much fun going through each file individually to fix class elements as shown above. For that reason, you can go to "Refactor | Inspect and Transform". There, in the "Inspect and Transform" dialog, you can choose the hint shown above and then specify that you'd like it to be applied to a scope of your choice, which could be a file, a package, a project, combinations of these, or all of the open projects, as shown below: Then, when Inspect is clicked, the Refactoring window shows all the members that are ordered in ways that don't conform to your rules: Click "Do Refactoring" above and, in one fell swoop, all the class elements within the selected scope are ordered according to your rules.

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  • WebLogic Server Performance and Tuning: Part II - Thread Management

    - by Gokhan Gungor
    WebLogic Server, like any other java application server, provides resources so that your applications use them to provide services. Unfortunately none of these resources are unlimited and they must be managed carefully. One of these resources is threads which are pooled to provide better throughput and performance along with the fast response time and to avoid deadlocks. Threads are execution points that WebLogic Server delivers its power and execute work. Managing threads is very important because it may affect the overall performance of the entire system. In previous releases of WebLogic Server 9.0 we had multiple execute queues and user defined thread pools. There were different queues for different type of work which had fixed number of execute threads.  Tuning of this thread pools and finding the proper number of threads was time consuming which required many trials. WebLogic Server 9.0 and the following releases use a single thread pool and a single priority-based execute queue. All type of work is executed in this single thread pool. Its size (thread count) is automatically decreased or increased (self-tuned). The new “self-tuning” system simplifies getting the proper number of threads and utilizing them.Work manager allows your applications to run concurrently in multiple threads. Work manager is a mechanism that allows you to manage and utilize threads and create rules/guidelines to follow when assigning requests to threads. We can set a scheduling guideline or priority a request with a work manager and then associate this work manager with one or more applications. At run-time, WebLogic Server uses these guidelines to assign pending work/requests to execution threads. The position of a request in the execute queue is determined by its priority. There is a default work manager that is provided. The default work manager should be sufficient for most applications. However there can be cases you want to change this default configuration. Your application(s) may be providing services that need mixture of fast response time and long running processes like batch updates. However wrong configuration of work managers can lead a performance penalty while expecting improvement.We can define/configure work managers at;•    Domain Level: config.xml•    Application Level: weblogic-application.xml •    Component Level: weblogic-ejb-jar.xml or weblogic.xml(For a specific web application use weblogic.xml)We can use the following predefined rules/constraints to manage the work;•    Fair Share Request Class: Specifies the average thread-use time required to process requests. The default is 50.•    Response Time Request Class: Specifies a response time goal in milliseconds.•    Context Request Class: Assigns request classes to requests based on context information.•    Min Threads Constraint: Limits the number of concurrent threads executing requests.•    Max Threads Constraint: Guarantees the number of threads the server will allocate to requests.•    Capacity Constraint: Causes the server to reject requests only when it has reached its capacity. Let’s create a work manager for our application for a long running work.Go to WebLogic console and select Environment | Work Managers from the domain structure tree. Click New button and select Work manager and click next. Enter the name for the work manager and click next. Then select the managed server instances(s) or clusters from available targets (the one that your long running application is deployed) and finish. Click on MyWorkManager, and open the Configuration tab and check Ignore Stuck Threads and save. This will prevent WebLogic to tread long running processes (that is taking more than a specified time) as stuck and enable to finish the process.

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  • RPi and Java Embedded GPIO: Connecting LEDs

    - by hinkmond
    Next, we need some low-level peripherals to connect to the Raspberry Pi GPIO header. So, we'll do what's called a "Fry's Run" in Silicon Valley, which means we go shop at the local Fry's Electronics store for parts. In this case, we'll need some breadboard jumper wires (blue wires in photo), some LEDs, and some resistors (for the RPi GPIO, 150 ohms - 300 ohms would work for the 3.3V output of the GPIO ports). And, if you want to do other projects, you might as well by a breadboard, which is a development board with lots of holes in it. Ask a Fry's clerk for help. Or, better yet, ask the customer standing next to you in the electronics components aisle for help. (Might be faster) So, go to your local hobby electronics store, or go to Fry's if you have one close by, and come back here to the next blog post to see how to hook these parts up. Hinkmond

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  • Jersey 2 Integrated in GlassFish 4

    - by arungupta
    JAX-RS 2.0 has released Early Draft 3 and Jersey 2 (the implementation of JAX-RS 2.0) released Milestone 5. Jakub reported that this milestone is now integrated in GlassFish 4 builds. The first integration has basic functionality working and leaves EJB, CDI, and Validation for the coming months. TOTD #182 explains how to get started with creating a simple Maven-based application, deploying on GlassFish 4, and using the newly introduced Client API to test the REST endpoint. GlassFish 4 contains Jersey 2 as the JAX-RS implementation. If you want to use Jersey 1.1 functionality, then Martin's blog provide more details on that. All JAX-RS 1.x functionality will be supported using standard APIs anyway. This workaround is only required if Jersey 1.x functionality needs to be accessed. Here are some pointers to follow JAX-RS 2 Specification Early Draft 3 Latest status on specification (jax-rs-spec.java.net) Latest JAX-RS 2.0 Javadocs Latest status on Jersey 2 (jersey.java.net) Latest Jersey API Javadocs Latest GlassFish 4.0 Promoted Build Follow @gf_jersey Provide feedback on Jersey 2 to [email protected] and JAX-RS specification to [email protected].

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  • No more: "What was my password again? Was it 12345 or 123456?"

    - by hinkmond
    Keep track of all your passwords with this Java ME password tracker on your Java feature phone. See: Java ME KeePassMobile Here's a quote: You can put all your passwords in one database, which is locked with one master key and/or a key file. ... KeePassMobile is a password manager software for mobile phones (J2ME platform) that is compatible to KeePass. With KeePassMobile you are able to store all your passwords in a highly-encrypted KeePass (1.x*) database on your mobile phone and view them on the go! Don't leave home without it! And, don't forget your master password either, because if you do... you're pretty much fried with Y-rays. Hinkmond

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  • Mastering snow and Java development at jDays in Gothenburg

    - by JavaCecilia
    Last weekend, I took the train from Stockholm to Gothenburg to attend and present at the new Java developer conference jDays. It was professionally arranged in the Swedish exhibition hall close to the amusement park Liseberg and we got a great deal out of the top-level presenters and hallway discussions. Understanding and Improving Your Java Process Our main purpose was to spread information on JVM and our monitoring tools for Java processes, so I held a crash course in the most important terms and concepts if you want to affect the performance of your Java process. From the beginning - the JVM specification to interpretation of heap usage graphs. For correct analysis, you also need to understand something about process memory - you need space for the Java heap (-Xms for initial size and -Xmx for max heap size), but the process memory also contain the thread stacks (to a size of -Xss), JVM internal data structures used for keeping track of Java objects on the heap, method compilation/optimization, native libraries, etc. If you get long pause times, make sure to monitor your application, see the allocation rate and frequency of pause times.My colleague Klara Ward then held a presentation on the Java Mission Control product, the profiling and diagnostics tools suite for HotSpot, coming soon. The room was packed and very appreciated, Klara demonstrated four different scenarios, e.g. how to diagnose and fix latencies due to lock contention for logging.My German colleague, OpenJDK ambassador Dalibor Topic travelled to Sweden to do the second keynote on "Make the Future Java". He let us in on the coming features and roadmaps of Java, now delivering major versions on a two-year schedule (Java 7 2011, Java 8 2013, etc). Also letting us in on where to download early versions of 8, to report problems early on. Software Development in teams Being a scout leader, I'm drilled in different team building and workshop techniques, creating strong groups - of course, I had to attend Henrik Berglund's session on building successful teams. He spoke about the importance of clear goals, autonomy and agreed processes. Thomas Sundberg ended the conference by doing live remote pair programming with Alex in Rumania and a concrete tips for people wanting to try it out (for local collaboration, remember to wash and change clothes). Memory Master Keynote The conference keynote was delivered by the Swedish memory master Mattias Ribbing, showing off by remembering the order of a deck of cards he'd seen once. He made it interactive by forcing the audience to learn a memory mastering technique of remembering ten ordered things by heart, asking us to shout out the order backwards and we made it! I desperately need this - bought the book, will get back on the subject. Continuous Delivery The most impressive presenter was Axel Fontaine on Continuous Delivery. Very well prepared slides with key images of his message and moved about the stage like a rock star. The topic is of course highly interesting, how to create an infrastructure enabling immediate feedback to developers and ability to release your product several times per day. Tomek Kaczanowski delivered a funny and useful presentation on good and bad tests, providing comic relief with poorly written tests and the useful rules of thumb how to rewrite them. To conclude, we had a great time and hope to see you at jDays next year :)

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  • Tab Sweep - State of Java EE, Dynamic JPA, Java EE performance, Garbage Collection, ...

    - by alexismp
    Recent Tips and News on Java EE 6 & GlassFish: • Java EE: The state of the environment (SDTimes) • Extend your Persistence Unit on the fly (EclipseLink blog) • Glassfish 3.1 - AccessLog Format (Ralph) • Java Enterprise Performance - Unburdended Applications (Lucas) • Java Garbage Collection and Heap Analysis (John) • Qu’attendez-vous de JMS 2.0? (Julien) • Dynamically registering WebFilter with Java EE 6 (Markus)

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  • Android Layout Preview for NetBeans IDE

    - by Geertjan
    More often than not, the reason that Eclipse has more plugins than NetBeans IDE is because Eclipse has far less features out of the box. For example, thanks to its out of the box support, NetBeans IDE doesn't need a Maven plugin and it doesn't need a Java EE plugin, which are two of the most popular plugins for Eclipse. However, what would be great for NetBeans IDE to have is support for Android. It's existed for a while, thanks to the community-driven NBAndroid project, but without much desired GUI functionality. Today, the project announced a leap forward, that is, early results in providing a layout preview: Looking forward to more GUI functionality for this project!   

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  • Standards Matter: The Battle For Interoperability Continues

    - by michael.rowell
    Great Article, although it is a little dated at this point. Information Week Article Standards Matter: The Battle for Interoperability goes on Summary If you're guilty of relegating standards support to a "nice to have" feature rather than a requirement, you're part of the problem. If you want products to interoperate, be prepared to walk away if a vendor can't prove compliance. Don't be brushed off with promises of standards support "on the road map." The alternative is vendor lock-in and higher costs, including the cost of maintaining systems that don't work together. Standards bodies are imperfect and must do better. The alternative: splintered networks and broken promises. The point: "The secret sauce to a successful 'working standard' isn't necessarily IETF or another longstanding body," says Jonathan Feldman, director of IT services for the city of Asheville, N.C., and an InformationWeek Analytics contributor. "Rather, an earnest and honest effort by a group that has governance outside of a single corporation's control is what's important." In order to have true interoperability vendors as well as customers must be actively engaged in the standards process. Vendors must be willing to truly work together and not be protecting an existing product. Customers must also be willing to truly to work together and not be demanding a solution that only meets their needs but instead meets the needs of all participants. Ultimately, customers must be willing to reward vendor compliance by requiring compliance in products and services that they purchase and deploy. Managers that deploy systems without compliance to standards are only hurting themselves. Standards do matter. When developed openly and deployed compliantly standards deliver interoperability which provides solid business value.

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  • 101 Ways to Participate...and make the future Java

    - by heathervc
     In case you missed it earlier today, and as promised in BOF6283, here are the 101 Ways to Improve (and Make the Future) Java...thanks to Bruno Souza of SouJava and Martijn Verburg of the London Java Community for their contributions! Join or create a JUG Come to the meetings Help promoting your JUG: twitter, facebook, etc Find someone that can give a talk Get your company to sponsor (a meeting, an event) Organize an activity (meetings, hackathons, dojos, etc) Answer questions on a mailing list (or simply join!) Volunteer for a small, one time tasks (creating a web page, helping with an activity) Come early to an event, and help to carry the piano Moderate a list or add things to the wiki Participate in the organization meetings or mailing lists Take pictures of an event or meeting and publish them online Write a blog about an event or meeting, to help promote the group Help record and post a session online Present your JavaOne experience when you get back Repeat the best talk you saw at JavaOne at a JUG meeting Send this list of ideas to other Java developers in your area so they can help out too! Present a step-by-step tutorial Present GreenFoot and Alice to school students Present BlueJ and Alice to university students Teach those tools to teachers and professors Write a step-by-step tutorial on your blog or to a magazine Create a page that lists resources Give a talk about your favorite Java feature or technology Learn a new Java API and present to your co-workers Then, present in a JUG meeting, and then, present it in an event in your area, and submit it to JavaOne! Create a study group to get certified or to learn some new Java technology Teach a non-Java developer how to download the basic tools and where to find more information Download and use an open source project Improve the documentation Write an article or a blog post about the project Write an FAQ Join and participate on the mailing list Describe a bug in detail and submit a bug report Fix a bug and submit it to the project Give a talk about it at a JUG meeting Teach your co-workers how to use the project Sign up to Adopt a JSR Test regular builds of the Reference Implementation (RI) Report bugs in the RI Submit Feature Requests to the spec Triage issues on the issue tracker Run a hack day to discuss the API Moderate mailing lists and forums Create an FAQ or Wiki Evangelize a specification on Twitter, G+, Hacker News, etc Give a lightning talk Help build the RI Help build the Technical Compatibility Kit (TCK) Create a Podcast Learn Latin - e.g. legal language, translate to English Sign up to Adopt OpenJDK Run a Bugathon Fix javac compiler warnings Build virtual images Add tests to Java Submit Javadoc patches Give a webbing Teach someone to build OpenJDK Hold a brown bag session at work Fix the oldest known bug Overhaul Javadoc to use HTML Load the OpenJDK into different IDEs Run a build farm node Test your code on a nightly build Learn how to read Java byte code Visit JCP.org Follow jcp_org on Twitter Friend JCP on Facebook Read JCP Blog Register for JCP.org site Create a JSR Watch List Review JSRs in progress Comment on JSRs in progress, write and track bug reports, use cases, etc Review JSRs in Maintenance Comment on JSRs in Maintenance Implement Final JSRs Review the Transparency of JSRs in progress and provide feedback to the PMO and Spec Lead/community Become a JCP Member or associate with a current JCP member Nominate to serve on an Expert Group (EG) Serve on an EG Submit a JSR proposal and become Spec Lead Take a Spec Lead role in an Inactive or Dormant JSR Nominate for an Executive Committee (EC) seat Vote in the EC elections Vote in EC Special Elections Review EC Meeting Summaries Attend Spec Lead calls Write blogs, articles on your experiences Join the EC project on java.net Join JCP.Next on java.net/JSR 358 Participate on the JCP forums and join JSR projects on java.net Suggest agenda items for open EC meetings Attend public EC teleconference (2x per year) Attend open EC meetings at JavaOne Nominate for JCP Annual Awards Attend annual JavaOne and JCP Annual Awards Ceremony Attend JCP related BOF sessions and give your feedback to Program Office Invite JCP program office members to your JUG  or meetup Invite JSR Spec Leads to your JUG or meetup And always - hold a party!

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  • Send SMS text messages for FREE using Java ME

    - by hinkmond
    Here's a way to get around those nasty SMS text messages charges (and maybe a way to get around the Pakistan SMS text censors too!). Use this Java ME SMS text app for your Java ME mobile phone, called JaxtrSMS: See: JaxtrSMS free Java ME SMS Here's a quote: JaxtrSMS lets you send FREE SMS and txt messages to any mobile phone in the world. Best of all, the receiver does not have to have the JaxtrSMS app. International and local SMS/texting can be expensive but with JaxtrSMS you can text anyone in the world for FREE! Great! Now, you can send 2,000 text messages from your phone every month and not worry about a huge bill. You don't send 2,000 text message in a month? Well, get it for your teenage kids then. They certainly send 2,000 text messages in a month... Hinkmond

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  • Lack of Transparency in the Supply Chain Results in Inconsistent Reporting on Conflict Minerals

    - by Terri Hiskey
    May 31, 2014 was the official deadline for U.S.-listed companies to disclose use of conflict minerals to the SEC. Of the estimated 6,000 companies that were required to file audits of their tin, gold, tungsten or tantalum in their products, only 1,300 filed reports, and these results have revealed the ongoing challenges that many manufacturers are having complying with this legislation. An article authored by IDC analyst Heather Ashton,"Conflict Minerals Reporting Passes a Notable Milestone" notes that many leading companies such as Intel, Apple and HP filed their reports ahead of the deadline, but other companies are struggling with trying to trace their supply chain back to raw materials, especially as many non-U.S. based suppliers have no legal requirement to comply with the law since they are not U.S.-listed companies. This has resulted in widely varying levels of reporting from company to company. Check out the full article here. Are your customers experiencing the same pains?

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  • FeiTeng 1000

    - by nospam(at)example.com (Joerg Moellenkamp)
    My colleague Roland pointed me to a website with some additional information about the usage of SPARC in the Tianhe-1a super computer: 512 飞腾 Server( 4 socket Galaxy FT1000 飞腾 cpu ( 65nm, 1Ghz, 8 core, 8 threads, openSPARC T2) that has 3HT links and 4 DDR3 memory channel and 8 PCI2.0)So essentialy the NUDT took the openSPARC T2 and added DDR3 , PCIe 2.0 and Hypertransport to it ...

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  • Internet of Things (IoT) Thanksgiving Special: Turkey Tweeter (Part 1)

    - by hinkmond
    It's time for the Internet of Things (ioT) Thanksgiving Special. This time we are going to work on a special Do-It-Yourself project to create an Internet of Things temperature probe to connect your Turkey Day turkey to the Internet by writing a Thanksgiving Day Java Embedded app for your Raspberry Pi which will send out tweets as it cooks in your oven. If you're vegetarian, don't worry, you can follow along and just run the simulation of the Turkey Tweeter, or better yet, try a tofu version of the Turkey Tweeter. Here is the parts list: 1 Vernier Go!Temp USB Temperature Probe 1 Uncooked Turkey 1 Raspberry Pi (not Pumpkin Pie) 1 Roll thermal reflective tape You can buy the Vernier Go!Temp USB Temperature Probe for $39 from here: http://www.vernier.com/products/sensors/temperature-sensors/go-temp/. And, you can get the thermal reflective tape from any auto parts store. (Don't tell them what you need it for. Say it's for rebuilding your V-8 engine in your Dodge Hemi. Avoids the need for a long explanation and sounds cooler...) The uncooked turkey can be found in your neighborhood grocery store. But, if you're making a vegetarian Tofurkey, you're on your own... The Java Embedded app will be the same, though (Java is vegan). So, grab all your parts and come back here for the next part of this project... Hinkmond

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  • JPRT: A Build & Test System

    - by kto
    DRAFT A while back I did a little blogging on a system called JPRT, the hardware used and a summary on my java.net weblog. This is an update on the JPRT system. JPRT ("JDK Putback Reliablity Testing", but ignore what the letters stand for, I change what they mean every day, just to annoy people :\^) is a build and test system for the JDK, or any source base that has been configured for JPRT. As I mentioned in the above blog, JPRT is a major modification to a system called PRT that the HotSpot VM development team has been using for many years, very successfully I might add. Keeping the source base always buildable and reliable is the first step in the 12 steps of dealing with your product quality... or was the 12 steps from Alcoholics Anonymous... oh well, anyway, it's the first of many steps. ;\^) Internally when we make changes to any part of the JDK, there are certain procedures we are required to perform prior to any putback or commit of the changes. The procedures often vary from team to team, depending on many factors, such as whether native code is changed, or if the change could impact other areas of the JDK. But a common requirement is a verification that the source base with the changes (and merged with the very latest source base) will build on many of not all 8 platforms, and a full 'from scratch' build, not an incremental build, which can hide full build problems. The testing needed varies, depending on what has been changed. Anyone that was worked on a project where multiple engineers or groups are submitting changes to a shared source base knows how disruptive a 'bad commit' can be on everyone. How many times have you heard: "So And So made a bunch of changes and now I can't build!". But multiply the number of platforms by 8, and make all the platforms old and antiquated OS versions with bizarre system setup requirements and you have a pretty complicated situation (see http://download.java.net/jdk6/docs/build/README-builds.html). We don't tolerate bad commits, but our enforcement is somewhat lacking, usually it's an 'after the fact' correction. Luckily the Source Code Management system we use (another antique called TeamWare) allows for a tree of repositories and 'bad commits' are usually isolated to a small team. Punishment to date has been pretty drastic, the Queen of Hearts in 'Alice in Wonderland' said 'Off With Their Heads', well trust me, you don't want to be the engineer doing a 'bad commit' to the JDK. With JPRT, hopefully this will become a thing of the past, not that we have had many 'bad commits' to the master source base, in general the teams doing the integrations know how important their jobs are and they rarely make 'bad commits'. So for these JDK integrators, maybe what JPRT does is keep them from chewing their finger nails at night. ;\^) Over the years each of the teams have accumulated sets of machines they use for building, or they use some of the shared machines available to all of us. But the hunt for build machines is just part of the job, or has been. And although the issues with consistency of the build machines hasn't been a horrible problem, often you never know if the Solaris build machine you are using has all the right patches, or if the Linux machine has the right service pack, or if the Windows machine has it's latest updates. Hopefully the JPRT system can solve this problem. When we ship the binary JDK bits, it is SO very important that the build machines are correct, and we know how difficult it is to get them setup. Sure, if you need to debug a JDK problem that only shows up on Windows XP or Solaris 9, you'll still need to hunt down a machine, but not as a regular everyday occurance. I'm a big fan of a regular nightly build and test system, constantly verifying that a source base builds and tests out. There are many examples of automated build/tests, some that trigger on any change to the source base, some that just run every night. Some provide a protection gateway to the 'golden' source base which only gets changes that the nightly process has verified are good. The JPRT (and PRT) system is meant to guard the source base before anything is sent to it, guarding all source bases from the evil developer, well maybe 'evil' isn't the right word, I haven't met many 'evil' developers, more like 'error prone' developers. ;\^) Humm, come to think about it, I may be one from time to time. :\^{ But the point is that by spreading the build up over a set of machines, and getting the turnaround down to under an hour, it becomes realistic to completely build on all platforms and test it, on every putback. We have the technology, we can build and rebuild and rebuild, and it will be better than it was before, ha ha... Anybody remember the Six Million Dollar Man? Man, I gotta get out more often.. Anyway, now the nightly build and test can become a 'fetch the latest JPRT build bits' and start extensive testing (the testing not done by JPRT, or the platforms not tested by JPRT). Is it Open Source? No, not yet. Would you like to be? Let me know. Or is it more important that you have the ability to use such a system for JDK changes? So enough blabbering on about this JPRT system, tell me what you think. And let me know if you want to hear more about it or not. Stay tuned for the next episode, same Bloody Bat time, same Bloody Bat channel. ;\^) -kto

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  • CPU Usage in Very Large Coherence Clusters

    - by jpurdy
    When sizing Coherence installations, one of the complicating factors is that these installations (by their very nature) tend to be application-specific, with some being large, memory-intensive caches, with others acting as I/O-intensive transaction-processing platforms, and still others performing CPU-intensive calculations across the data grid. Regardless of the primary resource requirements, Coherence sizing calculations are inherently empirical, in that there are so many permutations that a simple spreadsheet approach to sizing is rarely optimal (though it can provide a good starting estimate). So we typically recommend measuring actual resource usage (primarily CPU cycles, network bandwidth and memory) at a given load, and then extrapolating from those measurements. Of course there may be multiple types of load, and these may have varying degrees of correlation -- for example, an increased request rate may drive up the number of objects "pinned" in memory at any point, but the increase may be less than linear if those objects are naturally shared by concurrent requests. But for most reasonably-designed applications, a linear resource model will be reasonably accurate for most levels of scale. However, at extreme scale, sizing becomes a bit more complicated as certain cluster management operations -- while very infrequent -- become increasingly critical. This is because certain operations do not naturally tend to scale out. In a small cluster, sizing is primarily driven by the request rate, required cache size, or other application-driven metrics. In larger clusters (e.g. those with hundreds of cluster members), certain infrastructure tasks become intensive, in particular those related to members joining and leaving the cluster, such as introducing new cluster members to the rest of the cluster, or publishing the location of partitions during rebalancing. These tasks have a strong tendency to require all updates to be routed via a single member for the sake of cluster stability and data integrity. Fortunately that member is dynamically assigned in Coherence, so it is not a single point of failure, but it may still become a single point of bottleneck (until the cluster finishes its reconfiguration, at which point this member will have a similar load to the rest of the members). The most common cause of scaling issues in large clusters is disabling multicast (by configuring well-known addresses, aka WKA). This obviously impacts network usage, but it also has a large impact on CPU usage, primarily since the senior member must directly communicate certain messages with every other cluster member, and this communication requires significant CPU time. In particular, the need to notify the rest of the cluster about membership changes and corresponding partition reassignments adds stress to the senior member. Given that portions of the network stack may tend to be single-threaded (both in Coherence and the underlying OS), this may be even more problematic on servers with poor single-threaded performance. As a result of this, some extremely large clusters may be configured with a smaller number of partitions than ideal. This results in the size of each partition being increased. When a cache server fails, the other servers will use their fractional backups to recover the state of that server (and take over responsibility for their backed-up portion of that state). The finest granularity of this recovery is a single partition, and the single service thread can not accept new requests during this recovery. Ordinarily, recovery is practically instantaneous (it is roughly equivalent to the time required to iterate over a set of backup backing map entries and move them to the primary backing map in the same JVM). But certain factors can increase this duration drastically (to several seconds): large partitions, sufficiently slow single-threaded CPU performance, many or expensive indexes to rebuild, etc. The solution of course is to mitigate each of those factors but in many cases this may be challenging. Larger clusters also lead to the temptation to place more load on the available hardware resources, spreading CPU resources thin. As an example, while we've long been aware of how garbage collection can cause significant pauses, it usually isn't viewed as a major consumer of CPU (in terms of overall system throughput). Typically, the use of a concurrent collector allows greater responsiveness by minimizing pause times, at the cost of reducing system throughput. However, at a recent engagement, we were forced to turn off the concurrent collector and use a traditional parallel "stop the world" collector to reduce CPU usage to an acceptable level. In summary, there are some less obvious factors that may result in excessive CPU consumption in a larger cluster, so it is even more critical to test at full scale, even though allocating sufficient hardware may often be much more difficult for these large clusters.

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  • java MainServer gives java.lang.UnsupportedClassVersionError: Unsupported major.minor version 51.0

    - by Paradox
    Compiling is easy but when using java to run the programs, it gives Exception found. I am using Ubuntu 12.04 without internet connections. Also, installed Oracle JDK7 and JRE7. Also did the update-alternatives command on java, javac and javaws. Changed the machine java in /etc/profiles. PATH is pointing to oracle java folder. I did many searches on Google about this topic but each time jdk and jre version are different. Also check version of jdk and jre using java -version and javac - version. Both of them are the same. The system also contains OpenJdk6 and OpenJdk7. So, how do I remove these errors?

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