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Autonomic Computing, International Conference on (2004)
New York, New York
May 17, 2004 to May 18, 2004
ISBN: 0-7695-2114-2
pp: 122-129
Chao Jin , Microsoft Research Asia
Qiao Lian , Microsoft Research Asia
Zheng Zhang , Microsoft Research Asia
Shiding Lin , Microsoft Research Asia
<p>With the continuously improving price-performance ratio, building large, smart-brick based distributed storage system becomes increasingly attractive. The challenges, however, include not only reliability, adequate cost-performance ratio, online upgrades and so on, but also the system?s ability to achieve these goals in as self-managing and self-adaptive a manner as possible. In this paper, we describe RepStore, a system that fulfills these goals. RepStore unites the self-organizing capability of P2P DHT and the completely autonomous, per-brick tuning mechanism to derive a scalable and cost-effective architecture.</p> <p>RepStore employs replication for active write-intensive data and erasure-coding for the rest, strives to achieve the best cost-performance balance automatically and transparent to application, and does so in a completely distributed manner. Our preliminary evaluations reveal that the system performs much as expected, achieving performance and reliability closer to a 3-way fully replicated system with only 60% of the cost.</p>
Chao Jin, Qiao Lian, Zheng Zhang, Shiding Lin, "RepStore: A Self-Managing and Self-Tuning Storage Backend with Smart Bricks", Autonomic Computing, International Conference on, vol. 00, no. , pp. 122-129, 2004, doi:10.1109/ICAC.2004.50
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