2000
DOI: 10.1007/3-540-39997-6_10
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The Influence of the Structure and Sizes of Jobs on the Performance of Co-allocation

Abstract: Over the last decade, much research in the area of scheduling has concentrated on single-cluster systems. Less attention has been paid to multicluster systems, although they are gaining more and more importance in practice. We propose a model for scheduling rigid jobs consisting of multiple components in multicluster systems by pure space sharing, based on the Distributed ASCI Supercomputer. Using simulations, we asses the influence of the structure and sizes of the jobs on the system's performance, measured i… Show more

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Cited by 24 publications
(24 citation statements)
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“…S 1 consists of jobs with size = 1. S 2 , S 3 and S 4 groups are made up of jobs in the size range [2,3], [4,7] and [8,38] respectively. S 1 , S 2 , S 3 and S 4 constitute of 24%, 26%, 26% and 24% of the job stream respectively.…”
Section: Performance Evaluationmentioning
confidence: 99%
See 2 more Smart Citations
“…S 1 consists of jobs with size = 1. S 2 , S 3 and S 4 groups are made up of jobs in the size range [2,3], [4,7] and [8,38] respectively. S 1 , S 2 , S 3 and S 4 constitute of 24%, 26%, 26% and 24% of the job stream respectively.…”
Section: Performance Evaluationmentioning
confidence: 99%
“…Earlier work on DAS was reported by Bal et al [1]. Specific work on co-allocation on DAS was done by Jones [15], Bucur [4] and Bucur and Epema [5], [2], [3].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Finally, they presented results showing that the use of partitioned configuration did not necessarily imply a performance drawback [21] . Another important research about co-allocation or multisite site scheduling is presented in [22][23][24][25][26][27][28][29][30][31] . Bucur and Epema [22][23][24] assess the influence on the mean response time of the job structure and size, the sizes of the clusters in the system, the ratio of the speeds of local and wide-area communications, and of the presence of a single or of multiple queues in the system.…”
Section: Multisite Job Schedulingmentioning
confidence: 99%
“…Under First-Come-First-Served scheduling policy, von Laszewski [5] demonstrated the advantage of well utilizing compute systems while submitting jobs across a variety of cluster. Bucur & Epema [9] conducted experimental analysis for the computational power of the existing systems when scheduling rigid jobs on a multicluster systems. Piro et al [6] improved job scheduling strategies based on historical data of computing workloads to balance job assignment efficiently.…”
Section: Introductionmentioning
confidence: 99%