Energy Efficient Resource Allocation for Virtual Services Based on Heterogeneous Shared Hosting Platforms in Cloud Computing

• Published in: Cybernetics and information technologies : CIT 2017-09, Vol.17 (3), p.47-58
• Main Authors: Nhut Pham, Nguyen Minh, Le, Van Son, Nguyen, Ha Huy Cuong
• Format: Article
• Language: English
• Subjects: Algorithms; Cloud computing; Energy consumption; Resource allocation; simulated annealing; virtual service
• ISSN: 1314-4081; 1311-9702; 1314-4081
• DOI: 10.1515/cait-2017-0029

This paper is an extended and updated version, presented at the INDIA 2017 conference. Optimal resource provisioning for virtual services in the Cloud computing is one of the concerns nowadays. For cloud computing service providers, reducing the number of physical machines providing resources for virtual services in cloud computing is one of the efficient ways to reduce the amount of energy consumption, which in turn enhances the performance of data centers. Multi-dimensional resource provisioning on a Heterogeneous Shared Hosting Platforms for virtual services is known as a NP-hard problem. Therefore, it is necessary to apply the metaheuristic algorithms for estimating the outcome of the problem. In this study, we propose the resource allocation problem for reducing the energy consumption. ECRA-SA algorithms were designed to solve it and were evaluated through CloudSim simulation tool compared with FFD algorithm. The experimental results show that the proposed ECRA-SA algorithm yields a better performance than FFD algorithm.