Multi-Dimensional Constrained Cloud Computing Task Scheduling Mechanism Based on Genetic Algorithm

被引：9

作者：

Zhu, Youchan ^{[1
]}

Liu, Peng ^{[1
]}

机构：

[1] North China Elect Power Univ, Informat & Network Management Ctr, Baoding, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ONLINE ENGINEERING | 2013年 / 9卷

关键词：

Task Scheduling; Genetic Algorithm; Multidimensional Constraints; Cloud Computing;

D O I：

10.3991/ijoe.v9iS6.2793

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A new Cloud Computing task scheduling mechanism with multi-dimensional constrained based on Genetic Algorithm (GA) was proposed to reduce time to complete tasks and to improve users' satisfaction by reducing expenses. The algorithm improves fitness function with comprehensive efficiency constituted of shortest completion time and minimum cost. Finally, simulation results showed that this algorithm is highly efficient and meet not only performance needs but also economic needs of users.

引用

页码：15 / 18

页数：4

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