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.

A review on data replication strategies in cloud systems

“…An elastic resource management is critical to minimise operating cost while ensuring performance during high loads (Hameurlain and Mokadem, 2017). For this aim, scaling up/down allows adding/removing resources when the workload increases/decreases beyond a given threshold (Hwang et al, 2016).…”