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Reducing the number of miscreant tasks executions in a multi-use cluster

McGough, A.S.; Forshaw, M.; Gerrard, C.; Wheater, S.; Liu, Jianxun; Chen, Jinjun; Xu, Guandong

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Authors

A.S. McGough

M. Forshaw

C. Gerrard

S. Wheater

Jianxun Liu

Jinjun Chen

Guandong Xu



Abstract

Exploiting computational resources within an organisation for more than their primary task offers great benefits – making better use of capital expenditure and provides a pool of computational power. This can be achieved through the deployment of a cycle stealing distributed system, where tasks execute during the idle time on computers. However, if a task has not completed when a computer returns to its primary function the task will be preempted, wasting time (and energy), and is often reallocated to a new resource in an attempt to complete. This becomes exacerbated when tasks are incapable of completing due to excessive execution time or faulty hardware / software, leading to a situation where tasks are perpetually reallocated between computers – wasting time and energy. In this work we investigate techniques to increase the chance of ‘good’ tasks completing whilst curtailing the execution of ‘bad’ tasks. We demonstrate, through simulation, that we could have reduce the energy consumption of our cycle stealing system by approximately 50%.

Citation

McGough, A., Forshaw, M., Gerrard, C., Wheater, S., Liu, J., Chen, J., & Xu, G. (2012). Reducing the number of miscreant tasks executions in a multi-use cluster. In Second International Conference on Coud and Green Computing / Second International Conference on Social Computing and its Applications (CGC/SCA 2012) ; proceedings (296-303). https://doi.org/10.1109/cgc.2012.111

Conference Name 2012 Second International Conference on Cloud and Green Computing
Conference Location Xiangtan
Publication Date Nov 1, 2012
Deposit Date Oct 1, 2013
Publicly Available Date Apr 12, 2016
Publisher Institute of Electrical and Electronics Engineers
Pages 296-303
Book Title Second International Conference on Coud and Green Computing / Second International Conference on Social Computing and its Applications (CGC/SCA 2012) ; proceedings.
ISBN 9781467330275
DOI https://doi.org/10.1109/cgc.2012.111

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