Design of plug-in schedulers for a GridRPC environment

被引：4

作者：

Caron, E.

Chis, A.

Desprez, F.

Su, A.

机构：

[1] UCBL, CNRS, INRIA, LIP ENS Lyon, F-69364 Lyon, France

[2] Google Inc, Cambridge, MA 02142 USA

来源：

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2008年 / 24卷 / 01期

关键词：

grid computing; scheduling; performance prediction;

D O I：

10.1016/j.future.2007.02.005

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Grid middleware performance is typically determined by the resources that are chosen. Different classes of applications need different metrics to define a meaningful notion of performance. Such metrics include application workload, execution time estimation, disk or memory space availability, etc. In the past, few environments have allowed schedulers to be tuned for specific application scenarios. Within the DIET (Distributed Interactive Engineering Toolbox) project, we developed an API that allows the resource broker to be tuned for specific application classes. In a seamless way, generic or application-dependent performance measures can be used within the hierarchy of resource brokers. (C) 2007 Elsevier B.V. All rights reserved.

引用

页码：46 / 57

页数：12

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