Towards a New Data Replication Management in Cloud Systems

Abdenour Lazeb, Riad Mokadem and Ghalem Belalem
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Abdenour Lazeb: Université Oran1, Ahmed Ben Bella, Oran, Algeria
Riad Mokadem: Institut de Recherche en Informatique de Toulouse (IRIT), Paul Sabatier University, Toulouse, France
Ghalem Belalem: Université Oran1, Ahmed Ben Bella, Oran, Algeria

International Journal of Strategic Information Technology and Applications (IJSITA), 2019, vol. 10, issue 2, 1-20

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.

Date: 2019
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