Job communication characterization and its impact on meta-scheduling co-allocated jobs in a mini-grid

Summary form only given. We present a bandwidth-centric parallel job communication model that takes into account inter-cluster network utilization as a means by which to capture the interaction and impact of simultaneously co-allocated jobs in a mini-grid. Our model captures the time-varying utiliza...

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Bibliographic Details
Main Authors: Jones, W.M., Pang, L.W., Stanzione, D., Ligon, W.B.
Format: Conference Proceeding
Language:English
Subjects:
Bandwidth
Computer science education
Concurrent computing
Degradation
Distributed computing
Grid computing
Laboratories
Parallel architectures
Predictive models
Processor scheduling
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Description
Summary:Summary form only given. We present a bandwidth-centric parallel job communication model that takes into account inter-cluster network utilization as a means by which to capture the interaction and impact of simultaneously co-allocated jobs in a mini-grid. Our model captures the time-varying utilization of shared inter-cluster network resources in the grid. We compare our dynamic model with previous research that utilizes a fixed execution time penalty for co-allocated jobs. We have found that the fixed penalty model is more generous in its prediction of job turnaround time than our dynamic communication model. Additionally, we see that the penalty co-allocated jobs may experience without causing a severe performance degradation decreases as the number of clusters increases.
DOI:10.1109/IPDPS.2004.1303317