Grouping-based Fine-grained Job Scheduling in Grid Computing

被引：14

作者：

Liu, Quan ^{[1
]}

Liao, Yeqing ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Peoples R China

来源：

PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND COMPUTER SCIENCE, VOL I | 2009年

关键词：

Grid Computing; fine-grained job; grouping;

D O I：

10.1109/ETCS.2009.132

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Grid computing is the technology for building Internet-wide computing environment in which distributed and heterogeneous resources are integrated. However, in Grid environment, job scheduling is confronted with a great challenge. This paper focuses on lightweight jobs scheduling in Grid Computing. An Adaptive Fine-grained Job Scheduling (AFJS) algorithm is proposed. Compared with other fine-grained job scheduling algorithms based on grouping, AFJS can outperform them according to the experimental results.

引用

页码：556 / 559

页数：4

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