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DataSynapse Announces Integrated Linux Cluster Environment

DataSynapse Inc, an application infrastructure solution provider for on-demand computing, announced an Integrated Cluster Environment for Linux that allows customers using IBM clustering technology to increase their processing power, application performance, resiliency and scalability in a distributed, compute-intensive operating environment.

Introduced at the SuperComputing 2003 Conference in Phoenix, the new integrated offering is designed to address large-scale, high-performance industries that require compute-intensive transactions, such as the processing of risk management applications by global financial institutions or seismic reporting and analysis in petroleum exploration and production. The DataSynapse Cluster Grid offering creates a technology framework that supports a flexible cost structure and drives the following business benefits:

• Greater business performance
• Reduced operational costs
• Creation of new business capabilities through scalability
• Optimized IT infrastructure investments

"The offering combines IBM's leading cluster technology with award-winning middleware from DataSynapse to create virtual cluster operating environments that drive high-performance computing and horizontal scaling for mission-critical applications and on-demand computing," said David Turek, vice president of Deep Computing at IBM. "The solution empowers customers to address enormous scale requirements for resilient real-time application processing."

Integrating IBM's eServer Clusters and Cluster System Management tools with DataSynapse's GridServer software, the cluster offering migrates application servicing to an integrated high-performance Linux cluster operating environment. Based on business factors and the infrastructure run-time state, the integrated Linux cluster creates a distributing computing environment that enables IBM servers to operate as both an application client and server facilitating application requests.

Application's service requests are dynamically coordinated and managed by GridServer at run-time. The software ensures the right requests are distributed to the appropriate Linux cluster compute resources based on application service requirements and processing availability. The result is an automated, self-maintained operating infrastructure able to optimize and leverage available IT resources throughout the network.

"The ability to marry the servicing of application consumption requirements at run-time with an integrated high-performance cluster system creates a competitive differentiator for organizations adopting a cluster solution model," said Tony Bishop, chief business architect at DataSynapse. "We believe that the combination of IBM and DataSynapse technologies create an unmatched solution for solving complex computing problems."