New Grid Scheduling and Rescheduling Methods in the GrADS Project

被引：0

作者：

F. Berman

H. Casanova

A Chien

K. Cooper

H. Dail

A. Dasgupta

W. Deng

J. Dongarra

L. Johnsson

K. Kennedy

C. Koelbel

B. Liu

X. Liu

A. Mandal

G. Marin

M. Mazina

J. Mellor-Crummey

C. Mendes

A. Olugbile

M. Patel

D. Reed

Z. Shi

O. Sievert

H. Xia

A. YarKhan

机构：

[1] University of California at San Diego,Department of Computer Science and Engineering

[2] Rice University,Computer Science Dept.

[3] University of Illinois,Department Computer Science

[4] University of Tennessee,Innovative Computing Lab

[5] University of Houston,Department Computer Science

[6] University of North Carolina at Chapel Hill,Renaissance Computing Institute

来源：

International Journal of Parallel Programming | 2005年 / 33卷

关键词：

Grid computing; scheduling; rescheduling;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The goal of the Grid Application Development Software (GrADS) Project is to provide programming tools and an execution environment to ease program development for the Grid. This paper presents recent extensions to the GrADS software framework: a new approach to scheduling workflow computations, applied to a 3-D image reconstruction application; a simple stop/migrate/restart approach to rescheduling Grid applications, applied to a QR factorization benchmark; and a process-swapping approach to rescheduling, applied to an N-body simulation. Experiments validating these methods were carried out on both the GrADS MacroGrid (a small but functional Grid) and the MicroGrid (a controlled emulation of the Grid).

引用

页码：209 / 229

页数：20

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