Title: A review on data replication strategies in cloud systems

Authors: Riad Mokadem; Jorge Martinez-Gil; Abdelkader Hameurlain; Josef Kueng

Addresses: Institut de Recherche en Informatique de Toulouse (IRIT), Paul Sabatier University, Toulouse, France ' Software Competence Centre Hagenberg, Softwarepark 21, Hagenberg, Austria ' Institut de Recherche en Informatique de Toulouse (IRIT), Paul Sabatier University, Toulouse, France ' Institute for Applied Knowledge Processing, Johannes Kepler University, Linz, Austria

Abstract: Data replication constitutes an important issue in Cloud data management. In this context, a significant number of replication strategies have been proposed for Cloud systems. Most of the studies in the literature have classified these strategies into static vs. dynamic or centralised vs. decentralised strategies. In this paper, we propose a new classification of data replication strategies in Cloud systems. It takes into account several other criteria, specific to Cloud environments: (i) the orientation of the profit, (ii) the considered objective function, (iii) the number of tenant objectives, (iv) the nature of the Cloud environment and (v) the consideration of economic costs. Dealing with the last criterion, we focus on the provider's economic profit and the consideration of energy consumption by the provider. Finally, the impact of some important factors is investigated in a simulation study.

Keywords: cloud systems; data replication; data replication strategies; classification; SLA; economic profit; performance.

DOI: 10.1504/IJGUC.2022.125135

International Journal of Grid and Utility Computing, 2022 Vol.13 No.4, pp.347 - 362

Received: 12 May 2020
Accepted: 30 Jul 2020
Published online: 31 Aug 2022 *

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