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An Optimistic Replication Algorithm to Improve Consistency for Massive Data

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Grid and Cooperative Computing - GCC 2005 (GCC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3795))

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Abstract

Data replication introduces well-known consistency issues. For massive data, how to improve update propagation and how to minimizing space overhead effectually are important. An optimistic replication algorithm is proposed. In our algorithm, home replica is used to resolve updates conflict and pair-wise communication supports the reconciliation of any two replicas. A new anti-entropy partner selection method based on the distribution of updates and the information of local write-log is presented. The algorithm uses write-log truncation appropriately during updates propagation to remove out-of-date updates in time. The simulation results show that the partner selection mechanism can achieve good scalability and adaptability, the average number of updates in write-log does not exceed the number of replicas, and the variety for running different numbers of updates is not obvious.

This work is supported by the National Grand Fundamental Research 973 Program of China (No.2002CB312105), A Foundation for the Author of National Excellent Doctoral Dissertation of PR China (No.200141), and the National Natural Science Foundation of China (No.69903011).

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhou, J., Wang, Y., Li, S. (2005). An Optimistic Replication Algorithm to Improve Consistency for Massive Data. In: Zhuge, H., Fox, G.C. (eds) Grid and Cooperative Computing - GCC 2005. GCC 2005. Lecture Notes in Computer Science, vol 3795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590354_88

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  • DOI: https://doi.org/10.1007/11590354_88

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30510-1

  • Online ISBN: 978-3-540-32277-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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