Paper Title:
A Replica Selection Decision in Cloud Computing Environment
  Abstract

Data replication is adopted to improve data access performance in cloud computing environment. When different sites hold replicas, there are significant benefits while selecting the best replica. In this paper, we propose a new replica selection algorithm based on prediction. Analyzing the factors infecting replica selection, The grey system theory is utilized to help predicting the data response time on the basis the GM(1,1) grey dynamic model; Meanwhile the Markov chain is applied to achieve state transition probability matrix to predict the reliability of replicas in the form of probability by the system state classification. The simulation results show that in our replica selection model, the prediction is valid, helpful to selection decision, and is able to achieve load balance between nodes holding replicas.

  Info
Periodical
Advanced Materials Research (Volumes 121-122)
Edited by
Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo
Pages
801-806
DOI
10.4028/www.scientific.net/AMR.121-122.801
Citation
J. Li, "A Replica Selection Decision in Cloud Computing Environment", Advanced Materials Research, Vols. 121-122, pp. 801-806, 2010
Online since
June 2010
Authors
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Price
$32.00
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