An adaptive data replication algorithm
ACM Transactions on Database Systems (TODS)
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The grid: blueprint for a new computing infrastructure
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IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
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Proceedings of the 2002 ACM/IEEE conference on Supercomputing
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
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IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
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The Journal of Supercomputing
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Future Generation Computer Systems
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Journal of Parallel and Distributed Computing
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Data replication is a common method used to improve the performance of data access in distributed systems. In this paper, two dynamic replication algorithms, Simple Bottom-Up (SBU) and Aggregate Bottom-Up (ABU), are proposed for the multi-tier Data Grid. A multi-tier Data Grid simulator called DRepSim is developed for studying the performances of the dynamic replication algorithms. The simulation results show that both algorithms can reduce the average response time of data access greatly compared to the static replication method. ABU can achieve great performance improvements for all access patterns even if the available storage size of the replication server is very small. Comparing the two algorithms to Fast Spread dynamic replication strategy, ABU proves to be superior. As for SBU, although the average response time of Fast Spread is better in most cases, Fast Spread's replication frequency is too high to be applicable in the real world.