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Data Replication in Cloud Systems: A Survey

Author

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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)

  • Sean Eom

    (Southeast Missouri State University, Management Information Systems, Cape Girardeau, MO, USA)

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.

Suggested Citation

  • Khaoula Tabet & Riad Mokadem & Mohamed Ridda Laouar & Sean Eom, 2017. "Data Replication in Cloud Systems: A Survey," International Journal of Information Systems and Social Change (IJISSC), IGI Global, vol. 8(3), pages 17-33, July.
    • Handle: RePEc:igg:jissc0:v:8:y:2017:i:3:p:17-33
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