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A pattern to simplify the development of online reports, and yet improve their run-time performance.
Java EE LoadBalancer Project on java.net The Java EE LoadBalancer Filter is a pure J2EE Web Component for high traffic environments. Java Server Performance depends on CPU & Memory allocation of Traffic. Tuning Performance is also a borderline Process in reference to stability. Java EE LoadBalancer addresses this with Monitoring and Run-time Customizing of key parameters (response time & throughput). Traffic is directed among a Semaphore mechanism[from E.W.Dijkstra] to protect memory critical resources. Fail-over strategies are implemented and customizable while calibration process. Via jconsole essential Visibility into Java Web Transactions is supported across your Web Application infrastructure. You can identify performance problems and balance your Java Web Server. The LoadBalancer can be easily deployed over loadbalancer.jar registration in Web-Inf/lib directory of the Web Application and administrated in every Web Application using web.xml registration and configuration. The LoadBalancer runs on all Java Web Containers without any modification and requires a Servlet Specification 2.3 or later. The LoadBalancer supports HTTP and JMX Monitoring and JMX Run-time Customizing of LoadBalancer Parameters. Historical Profiling is supported via file logging using the java.util.logging facility. Using this loadbalancing practice is no hardware or software architecture changes required.
Axiom XMLHttpRequest Project on java.net Axiom XMLHttpRequest is an Enterprise XML Web Framework enables XML Transformations in Java Server using Streaming API for XML (StAX) & Axis2 Databinding Framework(ADB). The Framework extends the client-side JavaScript DOM XMLHttpRequest with XMLHttpRequestSchema and high performance StAX XML Processing on server-side. Parsing XMLHttpRequest to org.apache.axis2.databinding.ADBBean and serialize org.apache.axis2.databinding.ADBBean to HttpServletResponse in ServletContainer while JavaScript Request processing is implemented. Based on supported SchemaCompiler Tool we generate ADBBean from XMLHttpRequestSchema. A Demo Web Application is included in the Framework - explains how to progress JavaScript-XMLHttpRequest in Java Server Page. The Axiom XMLHttpRequest Enterprise XML Web Framework can be easily deployed over axiom-xmlhttprequest.jar registration in Web-Inf/lib directory of the Web Application. The Axiom XMLHttpRequest runs on all Java Web Containers without any modification and requires additional libraries from Apache ADB Project axiom_libs.
Java EE LoadBalancer Project on java.net The Java EE LoadBalancer Filter is a pure J2EE Web Component for high traffic environments. Java Server Performance depends on CPU & Memory allocation of Traffic. Tuning Performance is also a borderline Process in reference to stability. Java EE LoadBalancer addresses this with Monitoring and Run-time Customizing of key parameters (response time & throughput). Traffic is directed among a Semaphore mechanism[from E.W.Dijkstra] to protect memory critical resources. Fail-over strategies are implemented and customizable while calibration process. Via jconsole essential Visibility into Java Web Transactions is supported across your Web Application infrastructure. You can identify performance problems and balance your Java Web Server. The LoadBalancer can be easily deployed over loadbalancer.jar registration in Web-Inf/lib directory of the Web Application and administrated in every Web Application using web.xml registration and configuration. The LoadBalancer runs on all Java Web Containers without any modification and requires a Servlet Specification 2.3 or later. The LoadBalancer supports HTTP and JMX Monitoring and JMX Run-time Customizing of LoadBalancer Parameters. Historical Profiling is supported via file logging using the java.util.logging facility. Using this loadbalancing practice is no hardware or software architecture changes required.
The article on Singleton Design provides an analytical study from the various perspectives. In this article you will find the various approaches to create a singleton design and you will both the vulnerability and the robustness of the various approaches. This article provides you the best approach to follow.
Our series of posts about solving the OutOfMemoryError in our hypothetical production system is coming to a conclusion. We have covered a number of different ways to attack OutOfMemoryErrors so far - profilers, JDK bundled tools and heap dump analyzers. Our today’s mercenaries will be Application Performance Management tools, or APMs
Our series of posts about solving the OutOfMemoryError in our hypothetical production system is coming to a conclusion. We have covered a number of different ways to attack OutOfMemoryErrors so far - profilers, JDK bundled tools and heap dump analyzers. Our today’s mercenaries will be Application Performance Management tools, or APMs.