A review on data replication strategies in cloud systems

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.

Review on data replication strategies in single vs. interconnected cloud systems: Focus on data correlation‐aware strategies

“…This classification covers the objective function of each strategy when dealing with the replication issues. 20,52,55 This classification deals with the strategies' aims, regardless of their commitment to achieving them. These objectives can be directed towards increasing system availability and fault tolerance.…”

“…The data replication strategy classification given in Reference 55 takes into account other criteria, specific to cloud environments, such as the number of tenant's objectives (single vs. several SLOs), the nature of the cloud (single provider vs. multi‐providers), and the consideration of the economic (monetary) cost of resources for the provider. The simulation study compare the performance of five replication strategies proposed only for single cloud systems with a focus on the consideration of the economic cost of replication.…”