MSA: A task scheduling algorithm for cloud computing

被引：0
|
作者：
Mohapatra, Subhashree [1 ]
Panigrahi, Chhabi Rani [2 ]
Pati, Bibudhendu [2 ]
Mishra, Manohar [3 ]
机构：
[1] Department of Computer Science and Engineering, C.V. Raman College of Engineering, Biju Patnaik University of Technology, Bidyanagar, Mahura, Janla, Khurdha, Odisha,752054, India
[2] Department of Computer Science, Rama Devi Women's University, Bhubaneswar, Odisha,751022, India
[3] Department of Electrical and Electronics Engineering, Institute of Technical Education and Research, Siksha 'o' Anusandhan (Deemed to Be University), Bhubaneswar, Khurdha, Odisha,751030, India
来源：
International Journal of Cloud Computing | 2019年 / 8卷 / 03期
关键词：
Scheduling algorithms - Multitasking;
D O I：
10.1504/IJCC.2019.103912
中图分类号：
TP33 [电子数字计算机（不连续作用电子计算机）];
学科分类号：
081201 ;
摘要：
Cloud computing is an effective technology to perform huge-scale and complex computing. Achieving a minimum makespan is the prime motto of any task scheduling algorithm for a cloud computing environment. This paper aims to propose a new task scheduling algorithm named as Min-sufferage scheduling. While selecting a task for execution, the Min-sufferage picks up the task with minimum Sufferage value. The proposed method has been tested on numerous set of tasks and resources. The experimental results indicate that the proposed Min-sufferage algorithm results in less makespan as compared to Sufferage algorithm. © 2019 Inderscience Enterprises Ltd.
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收藏
页码：283 / 297
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