Replicas redistribution in distributed database using creative evolutionary systems approach

  • Authors:
  • Al-Dahoud Ali;Mohamed A. Belal

  • Affiliations:
  • Faculty of Science and Information Technology, Al-Zaytoonah University, Jordan;Faculty of Science and Information Technology, Al-Zaytoonah University, Jordan

  • Venue:
  • ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
  • Year:
  • 2006

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Abstract

In Distributed Data Bases (DDB), the replication of partitions into multiple hosts could be helpful for reducing the average remote access requests; however, there is a trade-off between replicating partitions into multiple hosts and maintaining remote requests. If we increase the number of replicas, the remote requests will be decreased, on the other hand, redistributing partitions will cost both space and time. In this paper, a system is proposed that is capable of evolution of a wide range of data redistributing schemes, in Distributed Database DDB, from scratch, using the Creative Evolutionary Systems (CES) approach, by evolution of such data replication schemes, we can search for near optimal design of these schemes. A new formulation of the problem of data redistributing in DDB is given, a novel genotype to phenotype, and crossover operation, are provided. Finally, the performance of the proposed model is compared with different replicas redistribution schemes and the results are discussed and analyzed.