MRT and IS Based Virtual Machine Scheduling using Cloud Analyst
M. Aruna1, G. Padmapriya2, B. Arthi3
1M.Aruna, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai (Tamil Nadu), India.
2G.Padmapriya, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai (Tamil Nadu), India.
3B.Arthi, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai Tamil Nadu), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 2100-2103 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7310068519/19©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: The proposed work presents an approach for scheduling algorithms which can minimize the response time of the Virtual Machine (VM) and provides better improved strategies through modified job scheduling technique. It identifies the effective virtual machine by calculating the minimum response time of the virtual machine and allocates the new request according to the difficulty (Number of Instructions to be processed for that request) level of the job requests. Using MRT and IS based VM scheduling algorithm that is compared with the RR scheduling algorithm, simulated results are obtained.
Keywords: Cloud Computing, Datacenter, Load Balancing, Virtual machine
Scope of the Article: Cloud Computing