Data Replication in Cloud Systems: A Survey

Khaoula Tabet, Riad Mokadem, Mohamed Ridda Laouar and Sean Eom ()
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Khaoula Tabet: University Larbi Tebessi, Department of Mathematics and Computer Science, Tebessa, Algeria
Riad Mokadem: Paul Sabatier University, Toulouse, France
Mohamed Ridda Laouar: University Larbi Tebessi, Department of Mathematics and Computer Science, Tebessa, Algeria

International Journal of Information Systems and Social Change (IJISSC), 2017, vol. 8, issue 3, 17-33

Abstract: This paper presents a survey of data replication strategies in cloud systems. Based on the survey and reviews of existing classifications, we propose another classification of replication strategies based on the following five dimensions: (i) static vs. dynamic, (ii) reactive vs. proactive workload balancing, (iii) provider vs. customer centric, (iv) optimal number vs. dynamic adjustment of the replica factor and (v) objective function. Ideally, a good replication strategy must simultaneously consider multiple criteria: (i) the reduction of access time, (ii) the reduction of the bandwidth consumption, (iii) the storage resource availability, (iv) a balanced workload between replicas and (v) a strategic placement algorithm including an adjusted number of replicas. Therefore, selecting a data replication strategy is a classic example of multiple criteria decision making problems. The taxonomy we present can be a useful guideline for IT managers to select the data replication strategy for their organization.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jissc0:v:8:y:2017:i:3:p:17-33

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