A Framework for Ranking of Cloud Services using Non Dominated Sorting
Preeti Sirohi1, Amit Agarwal2, Piyush Maheshwari3
1Preeti Sirohi, Department of Computer Science, Institute of Management Studies Ghaziabad (U.P), India.
2Amit Agarwal, Department of Computer Science, University of Petroleum and Energy Studies, Dehradun (Uttarakhand), India.
3Piyush Maheshwari, Department of Computer Science, Amity University, Dubai.
Manuscript received on 25 March 2019 | Revised Manuscript received on 06 April 2019 | Manuscript Published on 11 April 2019 | PP: 73-77 | Volume-8 Issue-4C, April 2019 | Retrieval Number: D24240484C19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing technology offers variety of cloud services to the users. The cloud user faces the challenge in choosing the service which can meet his requirements. Therefore, selection of an approach which can compare and select the best service according to the requirement is an issue. Several approaches, algorithms and frameworks have been proposed and designed which provide solutions to its user in choosing the best services. This paper proposed a framework which will use both subjective and objective parameter and is based on non-dominated sorting approach for ranking of cloud services. Various genetic algorithm are studied, analyzed and compared with each other find out their limitations.
Keywords: Cloud Computing, Genetic Algorithm, Multi-Objective Optimization.
Scope of the Article: Cloud Computing