An Optimized Replica Distribution Method in Cloud Storage System

Aiming at establishing a shared storage environment, cloud storage systems are typical applications of cloud computing. Therefore, data replication technology has become a key research issue in storage systems. Considering the performance of data access and balancing the relationship between replica...

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Main Authors: Yan Wang, Jinkuan Wang
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2017/2428982
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author Yan Wang
Jinkuan Wang
author_facet Yan Wang
Jinkuan Wang
author_sort Yan Wang
collection DOAJ
description Aiming at establishing a shared storage environment, cloud storage systems are typical applications of cloud computing. Therefore, data replication technology has become a key research issue in storage systems. Considering the performance of data access and balancing the relationship between replica consistency maintenance costs and the performance of multiple replicas access, the methods of replica catalog design and the information acquisition method are proposed. Moreover, the deputy catalog acquisition method to design and copy the information is given. Then, the nodes with the global replica of the information replicate data resources, which have the high access frequency and the long response time. Afterwards, the Markov chain model is constructed. And a matrix geometric solution is used to export the steady-state solution of the model. The performance parameters in terms of the average response time, finish time, and the replica frequency are given to optimize the number of replicas in the storage system. Finally, numerical results with analysis are proposed to demonstrate the influence of the above parameters on the system performance.
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spelling doaj-art-a65b6a8a03e84cada9d8b56905ae15e12025-08-20T02:20:48ZengWileyJournal of Control Science and Engineering1687-52491687-52572017-01-01201710.1155/2017/24289822428982An Optimized Replica Distribution Method in Cloud Storage SystemYan Wang0Jinkuan Wang1College of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaAiming at establishing a shared storage environment, cloud storage systems are typical applications of cloud computing. Therefore, data replication technology has become a key research issue in storage systems. Considering the performance of data access and balancing the relationship between replica consistency maintenance costs and the performance of multiple replicas access, the methods of replica catalog design and the information acquisition method are proposed. Moreover, the deputy catalog acquisition method to design and copy the information is given. Then, the nodes with the global replica of the information replicate data resources, which have the high access frequency and the long response time. Afterwards, the Markov chain model is constructed. And a matrix geometric solution is used to export the steady-state solution of the model. The performance parameters in terms of the average response time, finish time, and the replica frequency are given to optimize the number of replicas in the storage system. Finally, numerical results with analysis are proposed to demonstrate the influence of the above parameters on the system performance.http://dx.doi.org/10.1155/2017/2428982
spellingShingle Yan Wang
Jinkuan Wang
An Optimized Replica Distribution Method in Cloud Storage System
Journal of Control Science and Engineering
title An Optimized Replica Distribution Method in Cloud Storage System
title_full An Optimized Replica Distribution Method in Cloud Storage System
title_fullStr An Optimized Replica Distribution Method in Cloud Storage System
title_full_unstemmed An Optimized Replica Distribution Method in Cloud Storage System
title_short An Optimized Replica Distribution Method in Cloud Storage System
title_sort optimized replica distribution method in cloud storage system
url http://dx.doi.org/10.1155/2017/2428982
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