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, doi: 10.1007/s11390-012-1221-4.

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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, ShangORCID iD for 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
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
DOI 10.1007/s11390-012-1221-4
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
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