A Novel Response Time-Driven Replica Selection Approach for Cloud Computing

Zhong Xue  Yang; Xiao Lin Qin; Wen Rui Li; Ying Jie Yang

doi:10.4028/www.scientific.net/AMM.519-520.146

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 519-520A Novel Response Time-Driven Replica Selection...

A Novel Response Time-Driven Replica Selection Approach for Cloud Computing

Abstract:

Data replication techniques are used in cloud computing to reduce access latency, network bandwidth and enhance data availability, system reliability. Replica selection involves selecting the best replica location to access the data for job execution in cloud computing. In order to select the best replica, a novel response time-driven replica selection approach based on Dirichlet probability distribution (DPRS) is proposed in this paper. Dirichlet PDF is the conjugate prior of categorical distribution to predict the posteriori value. The response time is calculated based on the network parameters such as network bandwidth, file size and access latency. The best replica can be predicted in corresponding with the historical log file by using Dirichlet PDF. Simulation results show that DPRS method conducts high performance in lower mean response time, while compared with No replica, LRU and LFU strategies.

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Periodical:

Applied Mechanics and Materials (Volumes 519-520)

Pages:

146-150

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.519-520.146

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Cite this paper

Online since:

February 2014

Authors:

Zhong Xue Yang, Xiao Lin Qin, Wen Rui Li, Ying Jie Yang

Keywords:

Cloud Computing, Dirichlet Distribution, Replica Selection, Response Time

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