Modeling a dynamic data replication strategy to increase system availability in cloud computing environments

Sun, Da-Wei, Chang, Gui-Ran, Gao, Shang, Jin, Li-Zhong and Wang, Xing-Wei 2012, Modeling a dynamic data replication strategy to increase system availability in cloud computing environments, Journal of computer science and technology, vol. 27, no. 2, pp. 256-272.

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Title Modeling a dynamic data replication strategy to increase system availability in cloud computing environments
Author(s) Sun, Da-Wei
Chang, Gui-Ran
Gao, Shang
Jin, Li-Zhong
Wang, Xing-Wei
Journal name Journal of computer science and technology
Volume number 27
Issue number 2
Start page 256
End page 272
Total pages 17
Publisher Springer
Place of publication Boston, Mass.
Publication date 2012-03
ISSN 1000-9000
1860-4749
Keyword(s) cloud computing
high fault tolerance
replication perspective
system availability
temporal locality
Summary Failures are normal rather than exceptional in the cloud computing environments. To improve system avai-lability, replicating the popular data to multiple suitable locations is an advisable choice, as users can access the data from a nearby site. This is, however, not the case for replicas which must have a fixed number of copies on several locations. How to decide a reasonable number and right locations for replicas has become a challenge in the cloud computing. In this paper, a dynamic data replication strategy is put forward with a brief survey of replication strategy suitable for distributed computing environments. It includes: 1) analyzing and modeling the relationship between system availability and the number of replicas; 2) evaluating and identifying the popular data and triggering a replication operation when the popularity data passes a dynamic threshold; 3) calculating a suitable number of copies to meet a reasonable system byte effective rate requirement and placing replicas among data nodes in a balanced way; 4) designing the dynamic data replication algorithm in a cloud. Experimental results demonstrate the efficiency and effectiveness of the improved system brought by the proposed strategy in a cloud.
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2012, Springer Science+Business Media, LLC & Science Press
Persistent URL http://hdl.handle.net/10536/DRO/DU:30047066

Document type: Journal Article
Collection: School of Engineering and Information Technology
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