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• Juggling with JDKs on Apple OS X

  - by Blueberry Coder

  I recently got a shiny new MacBook Pro to help me support our ADF Mobile customers. It is really a wonderful piece of hardware, although I am still adjusting to Apple's peculiar keyboard layout. Did you know, for example, that the « delete » key actually performs a « backspace »? But I disgress... As you may know, ADF Mobile development still requires JDeveloper 11gR2, which in turn runs on Java 6. On the other hand, JDeveloper 12c needs JDK 7. I wanted to install both versions, and wasn't sure how to do it.   If you remember, I explained in a previous blog entry how to install JDeveloper 11gR2 on Apple's OS X. The trick was to use the /usr/libexec/java_home command in order to invoke the proper JDK. In this case, I could have done the same thing; the two JDKs can coexist without any problems, since they install in completely different locations. But I wanted more than just installing JDeveloper. I wanted to be able to select my JDK when using the command line as well. On Windows, this is easy, since I keep all my JDKs in a central location. I simply have to move to the appropriate folder or type the folder name in the command I want to execute. Problem is, on OS X, the paths to the JDKs are... let's say convoluted.  Here is the one for Java 6. /System/Library/Java/JavaVirtualMachines/1.6.0.jdk/Contents/Home The Java 7 path is not better, just different. /Library/Java/JavaVirtualMachines/jdk1.7.0_45.jdk/Contents/Home Intuitive, isn't it? Clearly, I needed something better... On OS X, the default command shell is bash. It is possible to configure the shell environment by creating a file named « .profile » in a user's home folder. Thus, I created such a file and put the following inside: export JAVA_7_HOME=$(/usr/libexec/java_home -v1.7) export JAVA_6_HOME=$(/usr/libexec/java_home -v1.6) export JAVA_HOME=$JAVA_7_HOME alias java6='export JAVA_HOME=$JAVA_6_HOME' alias java7='export JAVA_HOME=$JAVA_7_HOME'  The first two lines retrieve the current paths for Java 7 and Java 6 and store them in two environment variables. The third line marks Java 7 as the default. The last two lines create command aliases. Thus, when I type java6, the value for JAVA_HOME is set to JAVA_6_HOME, for example.  I now have an environment which works even better than the one I have on Windows, since I can change my active JDK on a whim. Here a sample, fresh from my terminal window. fdesbien-mac:~ fdesbien$ java6 fdesbien-mac:~ fdesbien$ java -version java version "1.6.0_65" Java(TM) SE Runtime Environment (build 1.6.0_65-b14-462-11M4609) Java HotSpot(TM) 64-Bit Server VM (build 20.65-b04-462, mixed mode) fdesbien-mac:~ fdesbien$ fdesbien-mac:~ fdesbien$ java7 fdesbien-mac:~ fdesbien$ java -version java version "1.7.0_45" Java(TM) SE Runtime Environment (build 1.7.0_45-b18) Java HotSpot(TM) 64-Bit Server VM (build 24.45-b08, mixed mode) fdesbien-mac:~ fdesbien$ Et voilà! Maximum flexibility without downsides, just I like it. 

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• Nimbuzz buzzes up their new users with Java ME tech

  - by hinkmond

  Nimbuzz is registering mobile users in the tens of millions now. It's partly because they rely on Java ME technology. Smart move! See: Nimbuzz buzzes w/Java ME Here's a quote: Nimbuzz allows users to meet, share and connect with family and friends, and is available across platforms such as [blah-blah-blah], BlackBerry and J2ME, as well as [yadda-yadda- yadda]... It's good to go with Java ME to get that sheer volume on handsets. Also helps to have "buzz" in your product name! Hinkmond

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• QotD: Eben Upton on Raspberry Pi Model B Shipping With 512MB of RAM

  - by $utils.escapeXML($entry.author)

  One of the most common suggestions we’ve heard since launch is that we should produce a more expensive “Model C” version of Raspberry Pi with extra RAM. This would be useful for people who want to use the Pi as a general-purpose computer, with multiple large applications running concurrently, and would enable some interesting embedded use cases (particularly using Java) which are slightly too heavyweight to fit comfortably in 256MB.The downside of this suggestion for us is that we’re very attached to $35 as our highest price point. With this in mind, we’re pleased to announce that from today all Model B Raspberry Pis will ship with 512MB of RAM as standard.Eben Upton, a founder and trustee of the Raspberry Pi foundation, in a blog post announcing the change.

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• Will you choose JavaFX for Development?

  - by javafx4you

  A few weeks ago, a poll on the home page of java.net caught my eyes, because it was related to JavaFX. Its title: Will you use JavaFX for development once it's fully ported to Mac and Linux platforms? Usually, the results for this type of polls are published on the editor's Daily Blog soon after the poll closes. For some reason, this didn't happen for the JavaFX poll, so I'll take a shot at interpreting the results.  The results found on java.net look pretty close to the following: Although this way to look at the results already gives us an idea of how much traction JavaFX is getting, there are just too many type of answers that make it hard to read. The answers "maybe" and "I don't know" are awfully similar, so I'm tempted to collapse these together. Then there is "No, I don't do that type of development" that just doesn't belong here, as obviously developers who ave chosen this answer don't develop Rich Internet Apps, and therefore I will adapt the % results accordingly. Finally, I've been tempted to combine the top three categories just t simplify the results. This gives me the following chart:  Whether you prefer the original graph, or my simplified take on it, one thing is sure:  less than 10% of developers who have taken this poll plan to stick to another toolkit (presumably Swing or SWT), while the vast majority is inclined to use JavaFX. When you take into account that JavaFX 2.0 is pretty much a "new" API (no more JavaFX Script), I think these are some pretty good results, 6 months after the official release of JavaFX 2.0.

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• New Write Flash SSDs and more disk trays

  - by Steve Tunstall

  In case you haven't heard, the Write SSDs the ZFSSA have been updated. Much faster now for the same price. Sweet. The new write-flash SSDs have a new part number of 7105026 , so make sure you order the right ones. It's important to note that you MUST be on code level 2011.1.4.0 or higher to use these. They have increased in IOPS from 6,000 to 11,000, and increased throughput from 200MB/s to 350MB/s.    Also, you can now add six SAS HBAs (up from 4) to the 7420, allowing one to have three SAS channels with 12 disk trays each, for a new total of 36 disk trays. With 3TB drives, that's 2.5 Petabytes. Is that enough for you? Make sure you add new cards to the correct slots. I've talked about this before, but here is the handy-dandy matrix again so you don't have to go find it. Remember the rules: You can have 6 of any one kind of card (like six 10GigE cards), but you only really get 8 slots, since you have two SAS cards no matter what. If you want more than 12 disk trays, you need two more SAS cards, so think about expansion later, too. In fact, if you are going to have two different speeds of drives, in other words you want to mix 15K speed and 7,200 speed drives in the same system, I would highly recommend two different SAS channels. So I would want four SAS cards in that system, no matter how many trays you have. 

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• Groovy Grapes in NetBeans IDE

  - by Geertjan

  The start of Groovy Grapes support in NetBeans IDE. Below you see a pure Groovy project, with the Groovy JAR and the Ivy JAR automatically on its classpath. There's also a Groovy script that makes use of a @Grab annotation. In the bottom left, in the Services window, you also see a Grape Repository browser, i.e., showing you the JARs that are currently in ".groovy/grapes". Click the images below to get a better look at them. Next, you see what happens when the project is run. The @Grab annotation automatically starts downloading the JARs that are needed and puts them into the ".groovy/grapes" folder. However, the "no suitable classloader found for grab" error message (which Google shows is a problem for lots of developers) prevents the application from running successfully: The final screenshot shows that I've put the JARs that I need onto the classpath of the project. I did that manually, hoping to learn from the NetBeans Maven project or the NetBeans Gradle project how to do that automatically. Also note that the @Grab annotation has been commented out. Now the error message about the classloader is avoided and the project runs. What needs to happen for Groovy Grapes support to be complete in NetBeans IDE: Figure out how to add the downloaded JARs to the project classpath automatically. Fix the refresh problem in the Grape Repository browser, i.e., right now the refresh doesn't happen automatically yet. Hopefully find a way to get around the grab classloader problem, i.e., it's not ideal that one needs to comment out the annotation. Let the user specify a different Grape repository, i.e., right now ".groovy/grapes" is assumed, but the user should be able to point the repository browser to something different. Maybe there should be support for multiple Grape repositories? Comments/feedback/help is welcome.

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• Maker Faire Report - Teaching Kids Java SE Embedded for Internet of Things (IoT)

  - by hinkmond

  I had a great time at this year's Maker Faire 2014 in San Mateo, Calif. where Jake Kuramoto and the AppsLab crew including Noel Portugal, Anthony Lai, Raymond, and Tony set up a super demo at the DiY table. It was a simple way to learn how Java SE Embedded technology could be used to code the Internet of Things (IoT) devices on the table. The best part of our set-up was seeing the kids sit down and do some coding without all the complexity of a Computer Science course. It was very encouraging to see how interested the kids were when walking them through the programming steps, then seeing their eyes light up when telling them, "You just coded a Java enabled Internet of Things device!" as the Raspberry Pi-connected devices turned on or started to move from their Java Embedded program. See: The AppsLab at Maker Faire It will be interesting to see how this next generation of kids grow up with all these Internet of Things devices around them and watch how they will program them. Hopefully, they will be using Java SE Embedded technology to do so. From the looks of it at this year's Maker Faire, we might have a bunch of motivated young Java SE Embedded coders coming up the ranks soon. Well, they have to get through middle school first, but they're on their way! Hinkmond

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• Essbase Analytics Link (EAL) - Performance of some operation of EAL could be improved by tuning of EAL Data Synchronization Server (DSS) parameters

  - by Ahmed Awan

  Generally, performance of some operation of EAL (Essbase Analytics Link) could be improved by tuning of EAL Data Synchronization Server (DSS) parameters. a. Expected that DSS machine will be 64-bit machine with 4-8 cores and 5-8 GB of RAM dedicated to DSS. b. To change DSS configuration - open EAL Configuration Tool on DSS machine.     ->Next:     and define: "Job Units" as <Number of Cores dedicated to DSS> * 1.5 "Max Memory Size" (if this is 64-bit machine) - ~1G for each Job Unit. If DSS machine is 32-bit - max memory size is 2600 MB. "Data Store Size" - depends on number of bridges and volume of HFM applications, but in most cases 50000 MB is enough. This volume should be available in defined "Data Store Dir" driver.   Continue with configuration and finish it. After that, DSS should be restarted to take new definitions.  

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• New RUP Patch for iSupplier Portal, Sourcing and Supplier Lifecycle Management (SLM)

  - by LuciaC

  Just released - the 12.1.3 Rollup (RUP) Patch 17525552:R12.PRC_PF.B for iSupplier Portal, Sourcing and Supplier Lifecycle Management (SLM). Who should apply this patch? Anyone that is on Release 12.1.3 and is using  iSupplier Portal, Sourcing or Supplier Lifecycle Management (SLM) functionality. The following areas have had major fixes: Prospective Supplier Guided Navigation: The train-navigation is introduced for prospective supplier registration so that prospective suppliers can see all steps needed to successfully register themselves. Supplier Registration Workflow Enhancement: With this release, provided the Approval Management Engine (AME) action required notifications for supplier approval, so that all workflow related features can be enabled. Vacation rules can be set, approvals can be forwarded and more information can be requested through the notification itself.  Additionally AME parallel Approval support for Supplier Registration approvals has been added. Reinstate Supplier Request: Allow buyer to reopen/reinstate the rejected supplier. Supplier is able to access their previously rejected registration again and make changes and resubmit request. Contact Address Association: The prospective supplier is allowed to associate addresses with contacts (including Primary) during the prospective supplier registration process. Primary Contact Enhancement: The prospective supplier can be registered without creating a user account for the primary contact. Mandatory Attributes: In the negotiation requirement creation page, the lookup meaning of 'Internal' has been changed to 'Internal Optional', and a new lookup value with meaning as 'Internal Required' has been added. The values available in the 'Type' dropdown now are Display Only, Internal Optional, Internal Required, Supplier Optional and Supplier Required.  So now during supplier evaluations, internal user response can be set as mandatory by using Internal Required type during requirement creation. Notifications to Supplier:  When the supplier saves and submits their supplier registration request, then a notification with a registration status page link will be sent for further access.  When the buyer approves, rejects or returns the request, the supplier will be notified in an email with the current status. There are also 10 major enhancements included in this RUP. For information about this RUP; including, the fixes and enhancements included, how to access and apply the patch, performing an impact analysis on your system, and testing recommendations, see Doc ID 1591198.1.  Don’t delay apply the patch today!

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• Virtual Developer Day: Rich Enterprise Applications

  Join sessions and hands-on labs in the cloud

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• FAQ: Creating a new LDOM domain

  - by Owen Allen

  I got a question about creating LDOM domains: "I have a Server Pool set up, and I need to create a secondary LDom domain on a machine in the pool. When I click on the machine, though, the 'create logical domain' command is grayed out. The machine still has available CPU threads and free RAM. What's going on?" This one has an easy answer. In a Server Pool, the Create Logical Domain action is under the pool's actions, rather than the individual machine's actions. This is because the Server Pool decides where to put the new domain based on the Server Pool's placement policy. So, in this case, you need to select the Server Pool in the Assets section, and then create the new domain from there.

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• Survey says: Java technology rules

  - by hinkmond

  Eclipse came out with their Open Source Developer Report and Survey for 2012. In it, we see (in the words of the immortal Richard Dawson, RIP) "Surveys Says!": Java computer programming language is on top. See: Java is the top Here's a quote: The Eclipse community was invited to participate in the survey between April 23 and May 15 of this year. Skerrett says the Foundation promoted the survey primarily through social media (Facebook, Twitter) and online forums. Of the 840 people who responded, 732 completed the survey... So, now we know who's on top, we can keep this in mind the next time this question comes up on Family Feud. Hinkmond

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• Save Actions in NetBeans IDE 7.3

  - by Geertjan

  Several developers, especially those familiar with equivalent functionality in Eclipse, have been asking for so-called "Save Actions", that is, support for actions that are automatically performed when a file is saved. Here's the related NetBeans issue: http://netbeans.org/bugzilla/show_bug.cgi?id=140719   In NetBeans IDE 7.3, the issue is resolved as follows: A new "On Save" tab is found in the "Editor" tab of the Options window. Defaults for all languages are set via the "All Languages" item in the drop-down. Here, for all languages, you can specify what kind (all, none, or only modified lines) of formatting and space removal will occur automatically when a file is saved: Via the drop-down, you see all the languages supported by the IDE: You can pick a language and then override the default On Save settings: Per language, there may be additional On Save settings. For example, for Java, you can specify that, when saving a Java file, unused import statements should be removed and/or the rules you've set for organizing import statements should be applied: There's also a set of new NetBeans IDE APIs for adding new On Save functionality via custom plugins. Via MIME type registration of OnSaveTask.Factory, you can register new On Save actions that will be run for files conforming to the relevant MIME type. There's also extensions via the Editor Options API for registering new panels (one per language) to the On Save panel in the Options window. I'll demonstrate some examples of the APIs in upcoming blog entries.

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• JavaOne Countdown, Are you ready?

  - by Angela Caicedo

  This is a great time of the year!  Not only does the weather start cooling down a bit, but it's time to get ready for JavaOne 2012.  It feels so long since my last JavaOne (last year I missed it because I was on a mom duty), so this year I couldn't be happier to be this close to the action again.  Have you ever been at JavaOne?  There are a million great reasons to love JavaOne, and the most important for me is the atmosphere of the conference: The Java community is there, and Java is in the air! This year we have more than 450 sessions, and there are HOLs (Hands on labs) to get your hands dirty with code.  In addition, there will be very cool demos, an exhibition hall. and a DEMOground.  During the whole time, you will have the opportunity to interact with the speakers, discuss topics and concerns, and even have a drink! Oh yes, I almost forgot, there will be lots of fun even apart from the technology!  For example there will be a Geek Bike Ride, a Thirsty Bear party, and the Appreciation Party with Pearl Jam and Kings of Leon.  How can this get any better! So, are you ready yet?  Have you registered?  If not, just follow this "Register for JavaOne" link and we'll see you there! P.S.  Little known fact: If you are a student you can get your pass for free!!!

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• Coherence Query Performance in Large Clusters

  - by jpurdy

  Large clusters (measured in terms of the number of storage-enabled members participating in the largest cache services) may introduce challenges when issuing queries. There is no particular cluster size threshold for this, rather a gradually increasing tendency for issues to arise. The most obvious challenges are that a client's perceived query latency will be determined by the slowest responder (more likely to be a factor in larger clusters) as well as the fact that adding additional cache servers will not increase query throughput if the query processing is not compute-bound (which would generally be the case for most indexed queries). If the data set can take advantage of the partition affinity features of Coherence, then the application can use a PartitionedFilter to target a query to a single server (using partition affinity to ensure that all data is in a single partition). If this can not be done, then avoiding an excessive number of cache server JVMs will help, as will ensuring that each cache server has sufficient CPU resources available and is also properly configured to minimize GC pauses (the most common cause of a slow-responding cache server).

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• Implementing a Custom Coherence PartitionAssignmentStrategy

  - by jpurdy

  A recent A-Team engagement required the development of a custom PartitionAssignmentStrategy (PAS). By way of background, a PAS is an implementation of a Java interface that controls how a Coherence partitioned cache service assigns partitions (primary and backup copies) across the available set of storage-enabled members. While seemingly straightforward, this is actually a very difficult problem to solve. Traditionally, Coherence used a distributed algorithm spread across the cache servers (and as of Coherence 3.7, this is still the default implementation). With the introduction of the PAS interface, the model of operation was changed so that the logic would run solely in the cache service senior member. Obviously, this makes the development of a custom PAS vastly less complex, and in practice does not introduce a significant single point of failure/bottleneck. Note that Coherence ships with a default PAS implementation but it is not used by default. Further, custom PAS implementations are uncommon (this engagement was the first custom implementation that we know of). The particular implementation mentioned above also faced challenges related to managing multiple backup copies but that won't be discussed here. There were a few challenges that arose during design and implementation: Naive algorithms had an unreasonable upper bound of computational cost. There was significant complexity associated with configurations where the member count varied significantly between physical machines. Most of the complexity of a PAS is related to rebalancing, not initial assignment (which is usually fairly simple). A custom PAS may need to solve several problems simultaneously, such as: Ensuring that each member has a similar number of primary and backup partitions (e.g. each member has the same number of primary and backup partitions) Ensuring that each member carries similar responsibility (e.g. the most heavily loaded member has no more than one partition more than the least loaded). Ensuring that each partition is on the same member as a corresponding local resource (e.g. for applications that use partitioning across message queues, to ensure that each partition is collocated with its corresponding message queue). Ensuring that a given member holds no more than a given number of partitions (e.g. no member has more than 10 partitions) Ensuring that backups are placed far enough away from the primaries (e.g. on a different physical machine or a different blade enclosure) Achieving the above goals while ensuring that partition movement is minimized. These objectives can be even more complicated when the topology of the cluster is irregular. For example, if multiple cluster members may exist on each physical machine, then clearly the possibility exists that at certain points (e.g. following a member failure), the number of members on each machine may vary, in certain cases significantly so. Consider the case where there are three physical machines, with 3, 3 and 9 members each (respectively). This introduces complexity since the backups for the 9 members on the the largest machine must be spread across the other 6 members (to ensure placement on different physical machines), preventing an even distribution. For any given problem like this, there are usually reasonable compromises available, but the key point is that objectives may conflict under extreme (but not at all unlikely) circumstances. The most obvious general purpose partition assignment algorithm (possibly the only general purpose one) is to define a scoring function for a given mapping of partitions to members, and then apply that function to each possible permutation, selecting the most optimal permutation. This would result in N! (factorial) evaluations of the scoring function. This is clearly impractical for all but the smallest values of N (e.g. a partition count in the single digits). It's difficult to prove that more efficient general purpose algorithms don't exist, but the key take away from this is that algorithms will tend to either have exorbitant worst case performance or may fail to find optimal solutions (or both) -- it is very important to be able to show that worst case performance is acceptable. This quickly leads to the conclusion that the problem must be further constrained, perhaps by limiting functionality or by using domain-specific optimizations. Unfortunately, it can be very difficult to design these more focused algorithms. In the specific case mentioned, we constrained the solution space to very small clusters (in terms of machine count) with small partition counts and supported exactly two backup copies, and accepted the fact that partition movement could potentially be significant (preferring to solve that issue through brute force). We then used the out-of-the-box PAS implementation as a fallback, delegating to it for configurations that were not supported by our algorithm. Our experience was that the PAS interface is quite usable, but there are intrinsic challenges to designing PAS implementations that should be very carefully evaluated before committing to that approach.

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• Partitions: "Partition Virtually"

  Save space by deactivating index partitions, and use virtual columns to partition more logically.

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• Identify high CPU consumed thread for Java app

  - by Vincent Ma

  Following java code to emulate busy and Idle thread and start it. import java.util.concurrent.*;import java.lang.*; public class ThreadTest {    public static void main(String[] args) {        new Thread(new Idle(), "Idle").start();        new Thread(new Busy(), "Busy").start();    }}class Idle implements Runnable {    @Override    public void run() {        try {            TimeUnit.HOURS.sleep(1);        } catch (InterruptedException e) {        }    }}class Busy implements Runnable {    @Override    public void run() {        while(true) {            "Test".matches("T.*");        }    }} Using Processor Explorer to get this busy java processor and get Thread id it cost lots of CPU see the following screenshot: Cover to 4044 to Hexadecimal is oxfcc. Using VistulVM to dump thread and get that thread. see the following screenshot In Linux you can use  top -H to get Thread information. That it! Any question let me know. Thanks

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• Best practices for Persona development

  - by user12277104

  Over the years, I have created a lot of Personas, I've co-authored a new method for creating them, and I've given talks about best practices for creating your own, so when I saw a call for participation in the OpenPersonas project, I was intrigued. While Jeremy and Steve were calling for persona content, that wasn't something I could contribute -- most of the personas I've created have been proprietary and specific to particular domains of my employers. However, I felt like there were a few things I could contribute: a process, a list of interview questions, and what information good personas should contain. The first item, my process for creating data-driven personas, I've posted as a list of best practices. My next post will be the list of 15 interview questions I use to guide the conversations with people whose data will become the personas. The last thing I'll share is a list of items that need to be part of any good persona artifact -- and if I have time, I'll mock them up in a template or two. 

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• Series On Embedded Development (Part 3) - Runtime Optionality

  - by Darryl Mocek

  What is runtime optionality? Runtime optionality means writing and packaging your code in such a way that all of the features are available at runtime, but aren't loaded and used if the feature isn't used. The code is separate, and you can even remove the code to save persistent storage if you know the feature will not be used. In native programming terms, it's splitting your application into separate shared libraries so you only have to load what you're using, which means it only impacts volatile memory when enabled at runtime. All the functionality is there, but if it's not used at runtime, it's not loaded. A good example of this in Java is JVMTI, Java's Virtual Machine Tool Interface. On smaller, embedded platforms, these libraries may not be there. If the libraries are not there, there's no effect on the runtime as long as you don't try to use the JVMTI features. There is a trade-off between size/performance and flexibility here. Putting code in separate libraries means loading that code will take longer and it will typically take up more persistent space. However, if the code is rarely used, you can save volatile memory by including it in a separate library. You can also use this method in Java by putting rarely-used code into one or more separate JAR's. Loading a JAR and parsing it takes CPU cycles and volatile memory. Putting all of your application's code into a single JAR means more processing for that JAR. Consider putting rarely-used code in a separate library/JAR.

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• Configuring JMS and Message Queues in GlassFish - Sample Chapter

  - by arungupta

  PacktPub released Java EE 6 with GlassFish 3 Application Server a few months after the first version in GlassFish 3 train was released. This book is a practical guide to install and configure the GlassFish 3 Application Server and develop and deploy Java EE 6 applications on this server. Recently they released a sample chapter on how to configure JMS and message queues in GlassFish. The chapter provide complete snapshots from the web-based admin console and working sample code. The Table of Contents shows that all major Java EE 6 APIs and the details of the GlassFish 3 server are covered followed by examples of its use. This book is a practical guide with a very user-friendly approach. Read about other books on Java EE and GlassFish here.

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• Hospital fined $1m for Patient Data Breach

  - by martin.abrahams

  As an illustration of the potential cost of accidental breaches, the US Dept of Health and Human Services recently fined a hospital $1m for losing documents relating to some of its patients. Allegedly, the documents were left on the subway by a hospital employee. For incidents in the UK, several local government bodies have been fined between £60k and £100k. Evidently, the watchdogs are taking an increasingly firm position.

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• All Secure - "Changing the Market"

  Purchasing criteria should focus on lifecycle security costs.

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• Performance Driven Manufacturing

  Manufacturers are searching for new, creative ways to address growing demands of global manufacturing. They want the latest tools and technologies to boost performance from their operations, suppliers, partners, distributors, and extended ecosystem, and they need global views for better visibility - both internally and across the extended supply chain. In addition, operations must move information more effectively to gain real-time insight into manufacturing shop floor status. Whether it's inside the plant or outside the traditional factory walls, manufacturers are searching for solutions to help them produce more for less, lower their total cost of ownership (TCO), and improve their return on investment (ROI).

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• Making the Move to PeopleSoft Projects (ESA) 9.1

  The PeopleSoft Projects (ESA) 9.1 release is built to enable the successful selection and execution of projects. With distinct attention to both user and IT productivity, PeopleSoft Projects 9.1 unveils a new Web 2.0 user interface, facilities to enable rapid business process re-configuration, and tools to strengthen project governance. Join us to hear more about these topics and the industry-specific functionality that are compelling customers to make the move to PeopleSoft Projects 9.1.

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