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A Data Replication Strategy to Increase Data Availability in Data Grids

Data Grid systems require the management of a massive number of data sets to make the data available to the many clients accessing the data. Data is typically replicated in these large scale applications to improve the data availability and job response time. Because the behavior of the thousands of Grid users is very dynamic, it is a challenging problem to determine where and when to make data replications to increase the system availability. Strategies for data replication have previously been proposed, but assume unlimited storage is available for replicas. In this paper, we introduce a new distributed strategy to maximize the data availability given limited replica storage. Our simulation shows our strategy can achieve better data availability and has a shorter total job time.