EETSQ: Energy Efficient Task Scheduling based on QoS Parameters in Cloud Computing Environment

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Published: Jun 8, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i5s.7096
Keywords:
Energy efficient scheduling, task priority, QoS parameters, load balancing

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Sanjiv Kumar Grewal
Research Scholar, Department of CSE, MMEC,Maharishi Markandeswar (Deemed to be University), Mullana, Ambala, India
Neeraj Mangla
Associate Professor, Department of CSE, MMEC,Maharishi Markandeswar (Deemed to be University), Mullana, Ambala, India

Abstract

Now a day, energy consumption is the big challenge in heterogeneous cloud computing environment that needs to be considered. Cloud service provider also needs to satisfy customer’s Quality of Service (QoS) for better utilization. An energy efficient task scheduling based on QoS parameter has been proposed to address above said challenge. Firsty, all the incoming tasks are categorized into four classes based on some special attributes and prioritize according to importance of the classes. Secondly, Physical Machines (PMs) type confirmation list is selected based on the number of resource blocks and then select one PM that has maximum QoS value. All the Virtual Machines (VMs) on selected PM are prioritized according to their weight. Experimental evaluation done on CloudSim shows the effectiveness and efficiency of proposed approach.

Article Details

How to Cite
Grewal, S. K. ., & Mangla, N. . (2023). EETSQ: Energy Efficient Task Scheduling based on QoS Parameters in Cloud Computing Environment. International Journal on Recent and Innovation Trends in Computing and Communication, 11(5s), 440–445. https://doi.org/10.17762/ijritcc.v11i5s.7096
Issue
Vol. 11 No. 5s (2023): Special Issue on Advances in Computing Systems for Web-Based Machine Learning Applications
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Articles

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