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Da-Wei Sun, Gui-Ran Chang, Shang Gao, Li-Zhong Jin, Xing-Wei Wang. Modeling a Dynamic Data Replication Strategy to Increase System Availability in Cloud Computing Environments[J]. Journal of Computer Science and Technology, 2012, (2): 256-272. DOI: 10.1007/s11390-012-1221-4
Citation: Da-Wei Sun, Gui-Ran Chang, Shang Gao, Li-Zhong Jin, Xing-Wei Wang. Modeling a Dynamic Data Replication Strategy to Increase System Availability in Cloud Computing Environments[J]. Journal of Computer Science and Technology, 2012, (2): 256-272. DOI: 10.1007/s11390-012-1221-4

Modeling a Dynamic Data Replication Strategy to Increase System Availability in Cloud Computing Environments

  • 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.
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