Scheduling in multiprogrammed parallel systems

Author:

Majumdar S.1,Eager D. L.1,Bunt R. B.1

Affiliation:

1. Univ. of Saskatchewan, Canada

Abstract

Processor scheduling on multiprocessor systems that simultaneously run concurrent applications is currently not well-understood. This paper reports a preliminary investigation of a number of fundamental issues which are important in the context of scheduling concurrent jobs on multiprogrammed parallel systems. The major motivation for this research is to gain insight into system behaviour and understand the basic principles underlying the performance of scheduling strategies in such parallel systems. Based on abstract models of systems and scheduling disciplines, several high level issues that are important in this context have been analysed.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference18 articles.

1. A comparison of list schedules for parallel processing systems

2. Coffman E.G. Denning P.J. Operating Systems Theory Prentice Hall 1973. Coffman E.G. Denning P.J. Operating Systems Theory Prentice Hall 1973.

3. Ferrari D. Computer Systems Performance Evaluation Prentice-Hall 1978. Ferrari D. Computer Systems Performance Evaluation Prentice-Hall 1978.

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Solving Task Scheduling Problem in the Cloud Using a Hybrid Particle Swarm Optimization Approach;International Journal of Applied Metaheuristic Computing;2022-01

2. Guarantee Strict Fairness and UtilizePrediction Better in Parallel Job Scheduling;IEEE Transactions on Parallel and Distributed Systems;2014-04

3. On the interconnect energy efficiency of high end computing systems;Sustainable Computing: Informatics and Systems;2013-06

4. The ParaPhrase Project: Parallel Patterns for Adaptive Heterogeneous Multicore Systems;Formal Methods for Components and Objects;2013

5. Employing Checkpoint to Improve Job Scheduling in Large-Scale Systems;Job Scheduling Strategies for Parallel Processing;2013

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3