[attachment=15804][attachment=15805][attachment=15806]ABSTRACT

Network speed, storage capacity and processor speed is increasing every year, but at the same time a large portion of the computing capacity is left unused .So we go for grid computing. Grid computing is an emerging technology, where we can unite a pool of servers, PCs, storage systems and networks into one large system to deliver nontrivial qualities of service. For an end user or application it looks like one big virtual computing system. Grid computing is a network of computation. Grid technology allows organizations to use numerous computers to solve problems by sharing computing resources. While Grid job scheduling has received much attention in the recent years, relatively few researchers have studied data placement issues. Although job management is important in Grid computing, data management and placement is likely to be among the most challenging issues for future Grid applications.

This seminar presents and discusses data placement issues that are common in the context of Grid computing and distributed data storage, e.g., storage discovery, storage allocation, data replication, data consistency control, reliable file transfers, job-aware data placement optimization, and transactions.
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