Advertisement

Massive Data Oriented Replication Algorithms for Consistency Maintenance in Data Grids

  • Changqin Huang
  • Fuyin Xu
  • Xiaoyong Hu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3991)

Abstract

Based on the Grid Community (GC) for data usage, differentiated replication algorithms are proposed, by which the replica node is selected according to key replica node (SHN) and the other. First, The replicas are passed into SHN; second, if certain nodes in a GC often access the data resource, it or its nearby nodes become an optional replica node based on the storage and bandwidth. A consistency maintenance algorithm is presented to facilitate the coherence function in a differentiated manner: a pessimistic manner or an optimistic manner, and to update according to the context. The simulation results show that the differentiated mechanism can improve grid access performance.

Keywords

Data Grid Coherence Function Data Replication Home Node Grid Community 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Page Jr., T.W., Guy, R.G., Heidemann, J.S., et al.: Perspectives on optimistically replicated, peer-to-peer filing. Software –Practice and Experience 28(2), 155–180 (1998)CrossRefGoogle Scholar
  2. 2.
    Wang, Y., DeWitt, D.J., Cai, J.Y.: X-Diff: An Effective Change Detection Algorithm for XML Documents. In: Proc. of the 19th International Conference on Data Engineering (ICDE 2003), pp. 519–530 (2003)Google Scholar
  3. 3.
    Bell, W.H., Cameron, D.G., Capozza, L., et al.: Optorsim: a Grid Simulator for Studying Dynamic Data Replication Strategies. International Journal of High Performance Computing Applications 17(4), 403–416 (2003)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Changqin Huang
    • 1
  • Fuyin Xu
    • 1
  • Xiaoyong Hu
    • 1
  1. 1.College of Educational Information TechnologySouth China Normal UniversityGuangzhouP.R. China

Personalised recommendations