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Easy Learn Java: Programming Articles, Examples and Tips - Page 268


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Java Trace Analyzer for WebSphere Application Server

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Trace Analyzer for WebSphere Application Server is a graphical environment for analyzing WebSphere trace logs in detail. It was developed at the Hursley Laboratory by members of the Transaction team in order to facilitate the diagnosis and analysis of problems in complex WebSphere deployments.

WebSphere Application Server produces primary diagnostic information in the form of text-based trace logs. The trace logs are used throughout the product lifecycle to diagnose failures and confirm correct code execution. As WebSphere is deployed in increasingly complex environments, problems become more difficult to resolve; often the only way to do so is to create trace logs to show the sequence of events leading to the problem.

IBMs Trace Analyzer for WebSphere Application Server is a graphical environment that provides the ability to examine and analyze WebSphere trace files in great detail, using filters and searches to home in on problem spots. It also facilitates the diagnosis and analysis of problems in complex WebSphere deployments.

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Posted by Anonymous on Wednesday, November 17, 2004 (00:00:00) (3232 reads)

Build intelligent Java agents using machine reasoning

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ABLE is a Java framework, component library, and productivity tool kit for building intelligent agents using machine learning and reasoning. The ABLE research project is made available by the IBM T. J. Watson Research Center.

The ABLE framework provides a set of Java interfaces and base classes used to build a library of JavaBeans called AbleBeans. The library includes AbleBeans for reading and writing text and database data, for data transformation and scaling, for rule-based inferencing using Boolean and fuzzy logic, and for machine learning techniques such as neural networks, Bayesian classifiers, and decision trees. Developers can extend the provided AbleBeans or implement their own custom algorithms. Rule sets created using the ABLE Rule Language can be used by any of the provided inferencing engines, which range from simple if-then scripting to light-weight inferencing to heavy-weight AI algorithms using pattern matching and unification. Java objects can be created and manipulated using ABLE rules. User-defined functions can be invoked from rules to enable external data to be read and actions to be invoked.

How does it work?

Core beans may be combined to create function-specific JavaBeans called AbleAgents. Developers can implement their own AbleBeans and AbleAgents and plug them into ABLE's Agent Editor. Graphical and text inspectors are provided in the Agent Editor so that bean input, properties, and output can be viewed as machine learning progresses or as values change in response to methods invoked in the interactive development environment.

Application-level agents can be constructed from AbleBean and AbleAgent components using the ABLE Agent Editor or a commercial bean builder environment. AbleBeans can be called directly from applications or can run autonomously on their own thread. Events can be used to pass data or invoke methods and can be processed in a synchronous or asynchronous manner.

IBMs new Agent Building and Learning Enviroment (ABLE) is a Java framework, component library, and productivity tool kit for building intelligent agents using machine learning and reasoning. With this tool, developers can implement their own AbleBeans and AbleAgents and plug them into ABLE's Agent Editor. Here's a related article that shows how to perform root-cause analysis with the Autonomic Management Engine and ABLE components.

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Posted by Anonymous on Tuesday, November 16, 2004 (00:00:00) (3394 reads)

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