Managing data using neighbor replication on triangular-grid structure

  • Authors:
  • Ali Mamat;M. Mat Deris;J. H. Abawajy;Suhaila Ismail

  • Affiliations:
  • Faculty of Computer Science and Information technology, University Putra Malaysia, Serdang, Selangor, Malaysia;Faculty of Information technology and Multimedia, University College of Tun Hussein Onn, Parit Raja, Batu Pahat, Johor;School of Information Technology, Deakin University, Geelong, VIC, Australia;Faculty of Computer Science and Information technology, University Putra Malaysia, Serdang, Selangor, Malaysia

  • Venue:
  • ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
  • Year:
  • 2006

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Abstract

Data is one of the domains in grid research that deals with the storage, replication, and management of large data sets in a distributed environment. The all-data-to-all sites replication scheme such as read-one write-all and tree grid structure (TGS) are the popular techniques being used for replication and management of data in this domain. However, these techniques have its weaknesses in terms of data storage capacity and also data access times due to some number of sites must ‘agree’ in common to execute certain transactions. In this paper, we propose the all-data-to-some-sites scheme called the neighbor replication on triangular grid (NRTG) technique by considering only neighbors have the replicated data, and thus, minimizes the storage capacity as well as high update availability. Also, the technique tolerates failures such as server failures, site failure or even network partitioning using remote procedure call (RPC).