Research Article
Energy consumption of scheduling policies for HTC jobs in the Cloud
@INPROCEEDINGS{10.4108/eai.24-8-2015.2261103, author={Osama Alrajeh and Nigel Thomas}, title={Energy consumption of scheduling policies for HTC jobs in the Cloud}, proceedings={1st EAI International Workshop on Energyaware Simulation}, publisher={ACM}, proceedings_a={ENERGY-SIM}, year={2015}, month={8}, keywords={cloud computing green computing efficient energy datacentre htcondor}, doi={10.4108/eai.24-8-2015.2261103} }- Osama Alrajeh
Nigel Thomas
Year: 2015
Energy consumption of scheduling policies for HTC jobs in the Cloud
ENERGY-SIM
ACM
DOI: 10.4108/eai.24-8-2015.2261103
Abstract
Organisations often exploit idle time on existing computing infrastructure through High Throughput Computing (HTC) to perform computation. More recently the same approaches have 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 develop an existing cloud simulation system to incorporate energy measurement, and to 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.