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Published in:
2007 | OriginalPaper | Chapter
Enhancing Data Replication with Greedy Pipeline-Based Aggressive Copy Protocol in Data Grids
Authors : Reen-Cheng Wang, Su-Ling Wu, Ruay-Shiung Chang
Published in: Parallel and Distributed Processing and Applications
Publisher: Springer Berlin Heidelberg
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To gain high performance computing or store large amount of data using inexpensive devices, grid system is one of the well-known solutions. In most cases, the grid can be categorized into two types: computational grid and data grid. Data grid is used for data intensive applications. In data grids, replication is used to reduce access latency and bandwidth consumption. Furthermore, it can also improve data availability, load balancing and fault tolerance. If there are many replicas, they may have coherence problems while being updated. In this paper, based on the aggressive-copy method, we propose a novel Greedy Pipeline-based Aggressive Copy (GPAC) protocol. The performance of pipelining dataset blocks and greedy sequencing in the GPAC can accelerate data replication speed in compared with previous works. Both analytical and experimental results show promising performance enhancements.