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Energy Consumption of Scheduling Policies for HTC jobs in the Cloud

Lookup NU author(s): Osama Alrajeh, Dr Nigel Thomas

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Abstract

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.


Publication metadata

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


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