Cloud Computing Modeling and Simulation using CloudSim Environment
Mohammad Oqail Ahmad1 and Rafiqul Zaman Khan2
1Mohammad Oqail Ahmad, Department of Computer Science, Aligarh Muslim University (A.M.U), Aligarh, India.
2Rafiqul Zaman Khan, Department of Computer Science, Aligarh Muslim University (A.M.U), Aligarh, India.
Manuscript received on 12 March 2019 | Revised Manuscript received on 17 March 2019 | Manuscript published on 30 July 2019 | PP: 5439-5445 | Volume-8 Issue-2, July 2019 | Retrieval Number: 100.1/ijrte.C72630911322 | DOI: 10.35940/ijrte.B3669.078219
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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 is a major technology in the development of internet services, and it delivers software, infrastructure and platform. It enables the client to offer-based services in a pay-per-use concept. So, it offers a less expensive and easy way of managing things. In this paper, we introduce a formal definition of CloudSim simulator, including its architecture, reasons for adopting for modeling and simulation, pros and cons. Moreover, CloudSim versions and how to implement the cloud environment using CloudSim. Further, we demonstrate that cloudlet scheduler policy TimeShared, SpaceShared and DynamicWorkload approach for VM scheduler TimeShared policy are compared on the bases of some performance parameters in term of average turnaround time, throughput, total execution time and total simulation time. These parameters outperform in DynamicWorkload cloudlet scheduler policy than TimeShared and SpaceShared approach for TimeShared VM scheduler policy. This work is anticipated to the beginner of the field to choose CloudSim simulation platform and suitable approaches for cloud computing.
Keywords: Cloud Computing; Cloud Sim Simulator; Scheduling Policies; Performance Metrics.
Scope of the Article: Cloud Computing