FUZZY SYSTEM TO EVALUATE RESOURCES' RELIABILITY IN A GRID ENVIRONMENT

被引：7

作者：

Santos, G. P. ^{[1
]}

Garmendia, L. ^{[1
]}

Montero, R. S. ^{[1
]}

Lopez, V. ^{[1
]}

机构：

[1] Univ Complutense Madrid, Fac Informat, E-28040 Madrid, Spain

来源：

INTELLIGENT DECISION MAKING SYSTEMS, VOL. 2 | 2010年

关键词：

Superscheduling; GridWay meta-scheduler; Grid computing; Fuzzy Logic; Approximate reasoning; Soft computing; FRAMEWORK; EXECUTION;

D O I：

10.1142/9789814295062_0056

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

Job scheduling in Computational Grids is a complex task because of the lack of control over the resources Under these conditions, it is impossible to know exactly which host will perform better for a given job On the other hand, fuzzy systems have demonstrated in recent years to behave well in this kind of situations, with imprecision, incomplete information or a lack of an exact model of the optimization space. In this paper we present a fuzzy system, built on top of the Grid Way meta-scheduler, to evaluate the reliability of each candidate resource This information is used by GridWay to choose the resource where the job will be dispatched.

引用

页码：357 / +

页数：2

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