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Lookup NU author(s): Osama Alrajeh, Dr Nigel Thomas
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Organisations often exploit idle time on existing local computing infrastructure through High Throughput Computing (HTC) to perform computation. More recently the same approach has been employed to make use of cloud resources in large-scale computation. To date, the impact of HTC scheduling policies within a cloud environment have received limited attention in the literature. The key focus of this paper is to extend an existing cloud simulation system to incorporate energy measurement, and evaluate the energy and performance impact of existing policies for scheduling HTC jobs to cloud resources. We demonstrate through trace-driven simulation the trade-off between energy consumption and system performance for a number of HTC scheduling policies.
Author(s): Alrajeh O, Thomas N
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: SIMUTools '15 Proceedings of the 8th International Conference on Simulation Tools and Techniques
Year of Conference: 2015
Pages: 343-348
Acceptance date: 30/07/2015
Publisher: ACM
URL: http://delivery.acm.org/10.1145/2840000/2832237/p343-alrajeh.pdf?ip=128.240.225.16&id=2832237&acc=ACTIVE%20SERVICE&key=BF07A2EE685417C5.708BE730B8E35B42.4D4702B0C3E38B35.4D4702B0C3E38B35&CFID=747007580&CFTOKEN=26899079&__acm__=1453476990_c3a0eeb4024bed1fa33421b51372247d
DOI: 10.4108/eai.24-8-2015.2261103
Library holdings: Search Newcastle University Library for this item
Sponsor(s): ACM
ISBN: 9781631900792