Data Replication in Cloud Systems

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.

A data replication strategy with tenant performance and provider economic profit guarantees in Cloud data centers

“…Most of the replication work in the literature (Milani and Navimipour, 2016;Malik et al, 2015) classified data replication strategies in cloud systems into static (Zeng and Bharadwaj, 2014) and Dynamic (Bui et al, 2016) strategies while other work (Tabet et al, 2017) classified them into provider-centric (Da Silva et al, 2012) and consumer-centric (Limam et al, 2019;Zhao et al, 2015) strategies. RSPC is considered as a dynamic strategy since replicas of each data set are created, placed and maintained dynamically according to the user's access patterns.…”

Comparing energy-aware vs. cost-aware data replication strategy

“…They point out that there is no strategy trying to optimize for performance, availability, energy consumption, and cost issues at the same time. An answer was given by [15] that provides another survey also based on 15 strategies. The authors affirmed that saying that strategies have to consider goals and find trade-off between opposite objectives, e.g., performance and energy consumption.…”

A collaborative mobile edge computing and user solution for service composition in 5G systems

“…Data replication and caching is another hot research topic that is being considered today with the introduction of MEC and fog computing . In the work of Lin et al, the authors proposed a QoS‐aware data replication strategy targeted for cloud systems to minimize the number of replicas and their associated replication costs.…”