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De-centralized Job Scheduling on Computational Grids Using Distributed Backfilling

  • Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节章节同行评审

3 引用 (Scopus)

摘要

To dynamically improve node selections of the waiting jobs under de-centralized scheduling, each node together with its neighbors is assumed to compose a subgrid, using distributed backfilling to optimize grid scheduling on each subgrid. Whenever a job terminates, distributed backfilling is triggered to rebackfill all waiting jobs on the corresponding subgrid in order of their submittal. Each subgrid is overlapped with some other, so the waiting jobs may be migrated around the grid. A simulated grid is established, while grid workload is modeled by extending workload models of parallel systems. Job speedup is used to evaluate scheduling strategies. Results show the dynamic optimization of node selections brought by distributed backfilling is grid-wide, and can improve scheduling performance remarkably as long as grid load is not too light and the job migration costs are not too high.

源语言英语
主期刊名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编辑Hai Jin, Jianhua Sun, Yi Pan, Nong Xiao
出版商Springer Verlag
285-292
页数8
ISBN(印刷版)3540235647, 9783540235644
DOI
出版状态已出版 - 2004

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3251
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

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