Affiliations: [a] Department of Computer Science, Faculty of Exact and Applied Sciences, Université Oran1, Ahmed Ben Bella, Algeria | [b] Computer Science Research Institute Toulouse (IRIT), Paul Sabatier University, Toulouse, France | [c] Department of Computer Science, Faculty of Exact and Applied Sciences, Université Oran1, Ahmed Ben Bella, Algeria
Correspondence:
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Corresponding author: Abdenour Lazeb, %****␣mgs-17-mgs210348_temp.tex␣Line␣25␣**** Department of Computer Science, Faculty of Exact and Applied Sciences, Université Oran1, Ahmed Ben Bella, Algeria. E-mail: lazeb.abdenour@edu.univ-oran1.dz.
Abstract: Data-intensive cloud computing systems are growing year by year due to the increasing volume of data. In this context, data replication technique is frequently used to ensure a Quality of service, e.g., performance. However, most of the existing data replication strategies just reproduce the same number of replicas on some nodes, which is certainly not enough for more accurate results. To solve these problems, we propose a new data Replication and Placement strategy based on popularity of User Requests Group (RPURG). It aims to reduce the tenant response time and maximize benefit for the cloud provider while satisfying the Service Level Agreement (SLA). We demonstrate the validity of our strategy in a performance evaluation study. The result of experimentation shown robustness of RPURG.
Keywords: Data management, cloud systems, data replication, SLA, cost model, business model, performance
