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QoS-Guaranteed Ring Replication Management with Strong Consistency

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Advances in Web and Network Technologies, and Information Management (APWeb 2007, WAIM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4537))

Abstract

As an important strategy for reducing access time, balancing overload, and obtaining high data availability, replication is widely used in distributed system such as Data Grids. Currently grid researchers often consider replica placement problem from the view of whole systems, i.e, ignoring individual requirements. With the rapid growth of Data Grid applications, fulfilling requirements of every request becomes a big challenge, especially in Data Grids with massive data, multiple users and geographically distribution. We build up a ring-based Data Grid model and define a QoS-guaranteed Replica Management Problem. A QoS-guaranteed replica placement algorithm qGREP is proposed, which takes individual QoS requirement into account and achieves tradeoff between consistency cost and access efficiency. Also a ring-base electing algorithm VOSE is presented to solve update conflicting while minimizing propagating costs. Analysis and experiments show that the model and algorithm are feasible in complex Data Grid environment and achieve good performance under different simulating conditions.

This paper is supported by National Basic Research Program (973) NO. 2003CB317008, NO. 2005CB321801, and Chinese NSF NO. 60573135, NO. 60503042.

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Kevin Chen-Chuan Chang Wei Wang Lei Chen Clarence A. Ellis Ching-Hsien Hsu Ah Chung Tsoi Haixun Wang

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Fu, W., Xiao, N., Lu, X. (2007). QoS-Guaranteed Ring Replication Management with Strong Consistency. In: Chang, K.CC., et al. Advances in Web and Network Technologies, and Information Management. APWeb WAIM 2007 2007. Lecture Notes in Computer Science, vol 4537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72909-9_4

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  • DOI: https://doi.org/10.1007/978-3-540-72909-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72908-2

  • Online ISBN: 978-3-540-72909-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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