Robust task scheduling in non-deterministic heterogeneous computing systems

Zhiao Shi, Emmanuel Jeannot, Jack J. Dongarra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

41 Scopus citations

Abstract

The paper addresses the problem of matching and scheduling of DAG-structured application to both minimize the makespan and maximize the robustness in a heterogeneous computing system. Due to the conflict of the two objectives, it is usually impossible to achieve both goals at the same time. We give two definitions of robustness of a schedule based on tardiness and miss rate. Slack is proved to be an effective metric to be used to adjust the robustness. We employ ε-constraint method to solve the bi-objective optimization problem where minimizing the makespan and maximizing the slack are the two objectives. Overall performance of a schedule considering both makespan and robustness is defined such that user have the flexibility to put emphasis on either objective. Experiment results are presented to validate the performance of the proposed algorithm.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Cluster Computing, Cluster 2006
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Cluster Computing, Cluster 2006 - Barcelona, Spain
Duration: Sep 25 2006Sep 28 2006

Publication series

NameProceedings - IEEE International Conference on Cluster Computing, ICCC
ISSN (Print)1552-5244

Conference

Conference2006 IEEE International Conference on Cluster Computing, Cluster 2006
Country/TerritorySpain
CityBarcelona
Period09/25/0609/28/06

Keywords

  • DAG
  • Genetic algorithm
  • Heterogeneous system
  • Robustness
  • Task scheduling

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