Towards a New Data Replication Management in Cloud Systems

Abstract

Applications produce huge volumes of data that are distributed on remote and heterogeneous sites. This generates problems related to access and sharing data. As a result, managing data in large-scale environments is a real challenge. In this context, large-scale data management systems often use data replication, a well-known technique that treats generated problems by storing multiple copies of data, called replicas, across multiple nodes. Most of the replication strategies in these environments are difficult to adapt to cloud environments. They aim to achieve the best performance of the system without meeting the important objectives of the cloud provider. This article proposes a new dynamic replication strategy. The proposed algorithm significantly improves provider gain without neglecting customer satisfaction.

A review on data replication strategies in cloud systems

“…In a dynamic replication (Edwin et al, 2019;Kumar et al, 2014;Lazeb et al, 2019;Mansouri et al, 2017;Tabet et al, 2019;Tos et al, 2016;Wei et al, 2010), replicas of each object are created, placed and managed dynamically when the system is already operational. It is done according to the user's access modes and the availability of resources, e.g., storage and CPU.…”

Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

“…Some of the latest research to enhance the replication strategies in other distributed architecture are addressed in Reference [51] for Cloud-P2P environments, Reference [52] for document-oriented (Not only SQL) NoSQL (Not only SQL) systems, Reference [53] for replica selection in Internet of Things (IoT), Reference [54] for cost aware heterogeneous cloud data centers, and Reference [55] for mobile ad hoc networks structures.…”

“…Some of the latest research to enhance the replication strategies in the field of cloud computing are addressed in Reference [67] for dynamic cost-aware replication, Reference [68] for cloud/edge based infra-structures, Reference [69] for mobile edge computing (MEC), Reference [70] for replication placement for in geographically distributed clouds, and Reference [71] for replication management in the cloud.…”

“…The first one is static versus dynamic, the second one is reactive versus proactive workload balancing, the third one is provider versus customer-centric, the fourth one is optimal number versus dynamic replica adjustment, and the last fifth one is the objective function-based [65]. Some of the latest research in the field of data-oriented replication for cloud computing are addressed in Reference [71] for replication management, as well as Reference [78] for replica placement.…”

“…The main issues of replication revolve between data availability, cost, and performance. The frequently used data should get replicated to multiple locations to increase the data availability and enhance the performance; this will make a smooth way for the users to accessing from their nearby sites [54]. The other issues and challenges include data consistency, downtime during new replica creation, maintenance overhead, and lower performance [34].…”