EARTH SCIENCES

NEW YORK -- DataSynapse, Inc., provider of the leading grid middleware for enabling applications for on demand computing, announced the grid-enabling of IBM's eServer zSeries mainframe for Linux with DataSynapse's LiveCluster 3G. DataSynapse's LiveCluster grid computing infrastructure allows customers to harness zSeries platforms to operate as part of a virtual grid supercomputer, leveraging their mainframe with distributed computing technology to incrementally tap existing or new resources to meet application scalability requirements. Through DataSynapse's web services application enabling functionality and Linux for zSeries support, both legacy and next generation Linux applications can now readily take advantage of the I/O and high availability functionality and inherent compute power of zSeries mainframes, extending the breath of applications running on these mainframes. In addition, for applications with unpredictable compute resource needs, LiveCluster can augment zSeries mainframes with distributed Linux xSeries resources in a single, scalable grid operating environment providing on demand capability that delivers optimal application transactional load balancing and resource efficiency. The solution is testing at multiple customer sites. "DataSynapse's application-centric grid middleware combined with the IBM eServer zSeries offers enterprises the ability to implement a virtual grid application environment built on the firm foundation of the IBM mainframe," said Rich Lechner, vice president, IBM Enterprise Servers. "By combining LiveCluster's workload balancing technology with the mainframe's advanced autonomic capabilities, enterprises can rapidly direct processing power on the grid to their highest priority applications." "This offering reflects the strategic synergy of our partnership with IBM, says Tony Bishop, Vice President, DataSynapse. By leveraging IBM proven eServer zSeries and Linux technologies, DataSynapse helps customers extend their application operating environment to meet business needs in the best possible manner based on factors of cost, performance and service level requirements.