crecode.com

Analyze data in Java Draw code 128 barcode in Java Analyze data




How to generate, print barcode using .NET, Java sdk library control with example project source code free download:
1. using jboss todeploy code 128 code set b for asp.net web,windows application Microsoft .NET Micro Framework Balancing these two factor applet Code 128C s, we could say that a good performance tuning session should last at least 20-30 minutes (besides warm-up activities, if any) for bread-andbutter applications like the sample Pet Store demo application (http://java.sun. com/developer/releases/petstore/).

Larger applications, on the other hand, require more functionality to test and engage a considerable amount of system resources. A complete test plan can demand, in this case, some hours or even days to be completed. As a matter of fact, some dynamics (like the garbage collector) can take time to unfold its effects; benchmarking these kinds of applications on a short-time basis can thus be useless or even misleading.

Luckily you can organize your time in such a way that the tuning sessions are planned carefully during the day and then executed with batch scripts at night.. Analyze data With the amount of data co Code 128B for Java llected, you have evidence of which areas show a performance penalty: keep in mind, however, that this might just be the symptom of a problem which arises in a different area of your application. Technically speaking the analysis procedure can be split into the following activities: 1. Identify the locations of any bottlenecks.

2. Think of a hypothesis which could be the cause of the bottleneck. 3.

Consider any factors that may prove/disprove your hypothesis. At the end of these activities, you should be ready to create a new test which isolates the factor that we suppose to be the cause of the bottleneck. For example, supposing you are in the middle of a tuning session of an enterprise application.

You have identified (Step 1) that the application occasionally pauses and cannot complete all transactions within the strict timeout setting. Your hypothesis (Step 2) is that the garbage collector configuration needs to be changed because it"s likely that there are too many full cycles of garbage collection (garbage collection is explained in detail in 3, Core JVM Tuning). As a proof of your hypothesis (Step 3) you are going to add in the configuration a switch that prints the details of each garbage collection.

In definitive, by carefully examining performance indicators, you can correctly isolate the problem and thus identify the main problems, which must be addressed first. If the data you collect is not complete, then your analysis is likely to be inaccurate and you might need to retest and collect the missing information or use further analysis tools..

[ 17 ]. Performance Tuning Concepts Configure and test again When your analysis has ter Code 128 for Java minated you should have a list of indicators that need testing: you should first establish a priority list so that you can first address those issues that are likely to provide the maximum payoff.. It"s important to stress t hat you must apply each change individually otherwise you can distort the results and make it difficult to identify potential new performance issues.. And that"s it! Get your in Code 128B for Java struments ready and launch another session of performance testing. You can stop adjusting and measuring when you believe you"re close enough to the response times to satisfy your requirements. As a side note consider that optimizing code can introduce new bugs so the application should be tested during the optimization phase.

A particular optimization should not be considered valid until the application using that optimization"s code path has passed quality assessment.. Tuning Java Enterprise applications One of the most pervasive barcode 128 for Java myths about Java Enterprise applications is that they simply are slow. The notion of Java being "slow" in popular discussions is often poorly calibrated but, unfortunately, widely believed. The most compelling reason for this sentiment dates back to the first releases of Java Development Kit.

In 1995, Java was much slower as the first implementations of the Java Virtual Machine didn"t have a Just In Time complier, the garbage collector algorithms were not so refined and, generally speaking, lots of applications were written using classes with poor performance numbers (for example, Input/Output streams without buffering, or abuse of thread-safe collections classes like the java.io.Vector).

While the debate continues in many forums, featuring benchmarks generally with the "elder brother" C++, there is some truth in it; that is today (some time ago), many Java applications are still awfully slow. Why What happened is that, ironically, even if Sun engineers were able to deliver faster JVMs release after release, programming Java Enterprise applications became more and more complex, and therefore so did writing fast Java applications. Not so long ago the archetype of a Java Application was made up of a Front Layer (usually developed with JSPs or Swing) and some Middleware, usually developed with a mix of Servlets and Data Access Objects (DAO) that contained the interfaces for the legacy system.

. [ 18 ].
Copyright © crecode.com . All rights reserved.