Characterising the Power Consumption of Hadoop Clouds - A Social Media Analysis Case Study

Javier Conejero, Omer Rana, Peter Burnap, Jeffrey Morgan, Carmen Carrion, Blanca Caminero

Abstract

Energy efficiency is often identified as one of the key reasons for migrating to Cloud environments. It is often stated that a data centre hosting the Cloud environment is likely to achieve greater energy efficiency (at a reduced cost) compared to a local deployment. With increasing energy prices, it is also estimated that a large percentage of operational costs within a Cloud environment can be attributed to energy. In this work, we investigate and measure energy consumption of a number of virtual machines running the Hadoop system, over an OpenNebula Cloud. Our workload is based on sentiment analysis undertaken over Twitter messages. Our objective is to understand the tradeoff between energy efficiency and performance for such a workload. From our results we generalise and speculate on how such an analysis could be used as a basis to establish a Service Level Agreement with a Cloud provider – especially where there is likely to be a high level of variability (both in performance and energy use) over multiple runs of the same application (at different times).

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Paper Citation


in Harvard Style

Conejero J., Rana O., Burnap P., Morgan J., Carrion C. and Caminero B. (2013). Characterising the Power Consumption of Hadoop Clouds - A Social Media Analysis Case Study . In Proceedings of the 3rd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-8565-52-5, pages 233-243. DOI: 10.5220/0004373502330243


in Bibtex Style

@conference{closer13,
author={Javier Conejero and Omer Rana and Peter Burnap and Jeffrey Morgan and Carmen Carrion and Blanca Caminero},
title={Characterising the Power Consumption of Hadoop Clouds - A Social Media Analysis Case Study},
booktitle={Proceedings of the 3rd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2013},
pages={233-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004373502330243},
isbn={978-989-8565-52-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Characterising the Power Consumption of Hadoop Clouds - A Social Media Analysis Case Study
SN - 978-989-8565-52-5
AU - Conejero J.
AU - Rana O.
AU - Burnap P.
AU - Morgan J.
AU - Carrion C.
AU - Caminero B.
PY - 2013
SP - 233
EP - 243
DO - 10.5220/0004373502330243