The Impact of Critical Sporadic Jobs on Gang Scheduling Performance in Distributed Systems-Reference-Cited by-同舟云学术

The Impact of Critical Sporadic Jobs on Gang Scheduling Performance in Distributed Systems

Published:2008-02 Issue:2-3 Volume:84 Page:89-102
ISSN:0037-5497
Container-title:SIMULATION
language:en
Short-container-title:SIMULATION

Author:

Karatza Helen D.¹

Affiliation:

1. Department of Informatics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece,

Abstract

A commonly used task scheduling algorithm for parallel and distributed systems is gang scheduling. In this paper, we study gang scheduling performance in the presence of critical sporadic jobs. A simulation model is used to address performance issues associated with gang scheduling on distributed processors for various workloads. Simulated results indicate that the relative performance of the gang scheduling policies depends on the arrival rates of gangs and critical sporadic jobs and also on the variability in the critical sporadic jobs inter-arrival times.

Publisher

SAGE Publications

Subject

Computer Graphics and Computer-Aided Design,Modeling and Simulation,Software

Link

http://journals.sagepub.com/doi/pdf/10.1177/0037549708091640

Reference24 articles.

1. Parallel job scheduling: Issues and approaches

2. Evaluation of Design Choices for Gang Scheduling Using Distributed Hierarchical Control

3. Improved utilization and responsiveness with gang scheduling

4. Demand-based coscheduling of parallel jobs on multiprogrammed multiprocessors

5. Stochastic analysis of gang scheduling in parallel and distributed systems

Cited by 12 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. Scheduling critical periodic jobs with selective partial computations along with gang jobs;Big Data Research;2024-05

2. Adaptive Migration Gang Scheduling for Massively Parallel Processing Systems;2020 6th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS);2020-12-23

3. Scheduling techniques for complex workloads in distributed systems;Proceedings of the 2nd International Conference on Future Networks and Distributed Systems;2018-06-26

4. Scheduling Data-Intensive Workloads in Large-Scale Distributed Systems: Trends and Challenges;Studies in Big Data;2018

5. A meta-heuristic optimization approach to the scheduling of bag-of-tasks applications on heterogeneous clouds with multi-level arrivals and critical jobs;Simulation Modelling Practice and Theory;2015-09