Job scheduling algorithm for cloud computing based on particle swarm optimization

被引：14
|
作者：
Liu, Jing [1 ]
Luo, Xingguo [1 ]
Zhang, Xingming [1 ]
Zhang, Fan [1 ]
机构：
[1] Natl Digital Switching Syst Engn & Technol Res Ct, Zhengzhou 450002, Peoples R China
来源：
NANOTECHNOLOGY AND PRECISION ENGINEERING, PTS 1 AND 2 | 2013年 / 662卷
关键词：
cloud computing; resource allocation; task scheduling; particle swarm optimization; multi-objective optimization;
D O I：
10.4028/www.scientific.net/AMR.662.957
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
Cloud computing is an emerging high performance computing environment with a large scale, heterogeneous collection of autonomous systems and flexible computational architecture. The performance of the scheduling system influences the cost benefit of this computing paradigm. To reduce the energy consumption and improve the profit, a job scheduling model based on the particle swarm optimization(PSO) algorithm is established for cloud computing. Based on open source cloud computing simulation platform CloudSim, compared to GA and random scheduling algorithms, the results show that the proposed algorithm can obtain a better solution concerning the energy cost and profit.
引用
收藏
页码：957 / 960
页数：4
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