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Comparison Of Backfilling Algorithms For Job Scheduling In Distributed Memory Parallel System

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Conference

2006 Annual Conference & Exposition

Location

Chicago, Illinois

Publication Date

June 18, 2006

Start Date

June 18, 2006

End Date

June 21, 2006

ISSN

2153-5965

Conference Session

Issues in Computer Education

Tagged Division

Computers in Education

Page Count

12

Page Numbers

11.339.1 - 11.339.12

Permanent URL

https://peer.asee.org/1000

Download Count

506

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Paper Authors

biography

Hasasn Rajaei Bowling Green State University

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Hassan Rajaei is an Associate Professor in the Computer Science Department at Bowling Green State University.
His research interests include computer simulation, distributed and parallel simulation, performance evaluation of communication networks, wireless communications, distributed and parallel processing. Dr. Rajaei received his Ph.D. from Royal Institute of Technologies, KTH, Stockholm, Sweden and he holds an MSE from U. of Utah.

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Mohammad Dadfar Bowling Green State University

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Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

Session xxxx

Comparison Of Backfilling Algorithms For Job Scheduling In Distributed-Memory Parallel System

Hassan Rajaei And Mohammad B. Dadfar

Department Of Computer Science Bowling Green State University Bowling Green, Ohio 43403 {Rajaei, Dadfar}@Cs.Bgsu.Edu

Abstract

In this paper, we compare the performance of backfilling scheduling algorithms using multiple- queue and look-ahead with the basic aggressive strategy on a multiprocessor system. Schedulers employing backfilling algorithms in distributed-memory parallel system have been found to improve system utilization and job response time by allowing smaller jobs from back of the waiting queue to execute before the larger jobs which have arrived earlier. Backfilling algorithms also overcome the problem of starvation and waste of processing resources exhibited by algorithms like shortest job first and longest job first. We have implemented the backfilling scheduling algorithms with basic aggressive, multiple-queue, and with look-ahead strategy. We compare their performances and investigate the conditions for increasing the utilization and decreasing the fragmentation of the system resources.

The look-ahead backfilling scheduling algorithm attempts to find the best packing possible given the current composition of the queue, thus maximizing the utilization at every scheduling step. It reduces the mean response time of all jobs. We use simulation to evaluate the performance of the scheduling disciplines.

1. Introduction

We have installed a Beowulf cluster1, 2 with 16 computing nodes in one of our instructional labs. It provides a high performance computing environment for our courses. In our previous paper3, we focused on a single queue of jobs and discussed three scheduling algorithms in the framework of variable partitioning: Non-FCFS, Aggressive Backfilling4, 5, and Conservative Backfilling5, 6, 7.

In this paper we focus on the comparison of backfilling scheduling algorithms using multiple- queue4, look-ahead8, 9, and basic aggressive strategy. Our cluster computing lab provides an excellent environment for student projects in several of our courses including Operating

Proceedings of the 2006 American Society for Engineering Education Annual Conference & Exposition Copyright 2006, American Society for Engineering Education

Rajaei, H., & Dadfar, M. (2006, June), Comparison Of Backfilling Algorithms For Job Scheduling In Distributed Memory Parallel System Paper presented at 2006 Annual Conference & Exposition, Chicago, Illinois. https://peer.asee.org/1000

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