Reliability-aware distributed computing scheduling policy

Abawajy, Jemal and Hassan, Mohammad Mehedi 2015, Reliability-aware distributed computing scheduling policy. In Wang, Guojun, Zomaya, Albert, Perez, Gregorio Martinez and Li, Kenli (ed), Algorithms and architectures for parallel processing : ICA3PP international workshops and symposiums, Zhangjiajie, China, November 18-20, 2015, proceedings, Springer International Publishing, Cham, Switzerland, pp.627-632, doi: 10.1007/978-3-319-27161-3_57.

Title Reliability-aware distributed computing scheduling policy
Author(s) Abawajy, JemalORCID iD for Abawajy, Jemal
Hassan, Mohammad Mehedi
Title of book Algorithms and architectures for parallel processing : ICA3PP international workshops and symposiums, Zhangjiajie, China, November 18-20, 2015, proceedings
Editor(s) Wang, Guojun
Zomaya, Albert
Perez, Gregorio Martinez
Li, Kenli
Publication date 2015
Series Lecture notes in computer science
Chapter number 57
Total chapters 77
Start page 627
End page 632
Total pages 6
Publisher Springer International Publishing
Place of Publication Cham, Switzerland
Keyword(s) cloud computing
job scheduling
Summary One of the primary issues associated with the efficient and effective utilization of distributed computing is resource management and scheduling. As distributed computing resource failure is a common occurrence, the issue of deploying support for integrated scheduling and fault-tolerant approaches becomes paramount importance. To this end, we propose a fault-tolerant dynamic scheduling policy that loosely couples dynamic job scheduling with job replication scheme such that jobs are efficiently and reliably executed. The novelty of the proposed algorithm is that it uses passive replication approach under high system load and active replication approach under low system loads. The switch between these two replication methods is also done dynamically and transparently. Performance evaluation of the proposed fault-tolerant scheduler and a comparison with similar fault-tolerant scheduling policy is presented and shown that the proposed policy performs better than the existing approach.
Notes Presented at ICA3PP international workshops and symposiums. Zhangjiajie, China, November 18-20, 2015
ISBN 9783319271606
ISSN 0302-9743
Language eng
DOI 10.1007/978-3-319-27161-3_57
Field of Research 080501 Distributed and Grid Systems
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2015, Springer
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