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Analysis of energy saving scheduling algorithms for multiprocessor systems

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  • Analysis of energy saving scheduling algorithms for multiprocessor systems

M Sreenath * and P A Vijaya

Department of ECE, BNMIT, Bengaluru, Karnataka, India.

Research Article
 
International Journal of Science and Research Archive, 2022, 07(02), 614–623.
Article DOI: 10.30574/ijsra.2022.7.2.0368
DOI url: https://doi.org/10.30574/ijsra.2022.7.2.0368

Received on 20 November 2022; revised on 28 December 2022; accepted on 30 December 2022

Modern battery-powered devices' energy usage has become one of the most crucial design considerations in the near past. This presents an extra issue in a multi processor environment. The key development criteria and goal is to lower system operating costs through low energy consumption, an extended battery life, and less heat dissipation. When the system's resource consumption is subpar, it can occasionally lead to decreased performance levels since more energy is needed to complete tasks. The amount of CPUs and cores affects how much energy the system uses while performing activities. If the system executes a more no of tasks, may face different difficulties to maintain a good performance. A process scheduler uses particular scheduling methods to assign different programmes to the CPU. Priority Scheduling, Shortest Job Next, and FCFS are some of the most popular process scheduling techniques. The method that controls how much CPU time is given to processes and threads is known as a strategy for planning.

Scheduling Algorithms; Multiprocessor; Energy Saving; Performance

https://ijsra.co.in/sites/default/files/fulltext_pdf/IJSRA-2022-0368.pdf

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M Sreenath and P A Vijaya. Analysis of energy saving scheduling algorithms for multiprocessor systems. International Journal of Science and Research Archive, 2022, 07(02), 614–623. Article DOI: https://doi.org/10.30574/ijsra.2022.7.2.0368

Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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