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GigaSpaces' XAP 7 focuses on performance


By David Worthington
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July 17, 2009 —  GigaSpaces' XAP (eXtreme Application Platform) 7.0 middleware platform, released Tuesday, features new APIs for controlling and monitoring its virtualized runtime environment, a simplified deployment model, and improved utilization of multicore hardware environments.

XAP allows Java applications to be provisioned into distributed environments without requiring code changes or separate components for clustering, said Nati Shalom, CTO of GigaSpaces.

The platform is comprised of an in-memory data grid, an execution environment for business logic, and the Jetty container to execute applications on top of XAP's service grid.

C++ and .NET applications are supported, but code changes are necessary, he explained.

XAP 7 includes a number of Java-focused enhancements, from APIs to packaging. Applications that are formatted as standard Java Archive and Web Application Archive files can now be deployed into XAP without any structural changes.

An API for Groovy and Java cluster monitoring and administration helps applications become aware of and responsive to extra capacity, Shalom said. The API controls the deployment of applications and application behavior in production environments, and also captures host-level information.

Another API enables asynchronous method calls between a Servlet and the XAP data grid, so that the calling Servlet thread is released to return the Web result back to the user, according to the company's press release.

Further, XAP includes an implementation of XAP's map/reduce Grid Task Execution API for .NET applications. Map/reduce is a software framework that allows large amounts of data to be processed in parallel across different nodes.

In a bid to accelerate problem resolution, XAP 7's management console controls system resources from the physical machine layer through the GigaSpaces grid infrastructure and into application components.

The XAP grid infrastructure has undergone significant changes that were intended to improve performance. XAP's in-memory data grid now uses internal data structures that perform lock-free reads by implementing a concurrent programming language that is similar to Scala, Shalom said.

That restructuring has reduced XAP's memory footprint up to 50%, the company says. The company also overhauled its local cache mechanism for faster performance.

XAP 7 is available for on-premise data centers or as a SaaS offering provided by GigaSpaces. "You can deploy a cluster in the cloud without installing [XAP] in your environment," Shalom said.




Related Search Term(s): GigaSpaces, Java, virtualization


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