DocumentCode :
262558
Title :
A Generic and Extensible Framework for Monitoring Energy Consumption of OpenStack Clouds
Author :
Rossigneux, Francois ; Lefevre, Laurent ; Gelas, Jean-Patrick ; De Assuncao, Marcos Dias
Author_Institution :
LIP Lab., Univ. of Lyon, Lyon, France
fYear :
2014
fDate :
3-5 Dec. 2014
Firstpage :
696
Lastpage :
702
Abstract :
Although cloud computing has been transformational to the IT industry, it is built on large data centres that often consume massive amounts of electrical power. Efforts have been made to reduce the energy clouds consume, with certain data centres now approaching a Power Usage Effectiveness (PUE) factor of 1.08. While this is an incredible mark, it also means that the IT infrastructure accounts for a large part of the power consumed by a data centre. Hence, means to monitor and analyse how energy is spent have never been so crucial. Such monitoring is required not only for understanding how power is consumed, but also for assessing the impact of energy management policies. In this article, we draw lessons from experience on monitoring large-scale systems and introduce an energy monitoring software framework called Kilo Watt API (KWAPI), able to handle Open-Stack clouds. The framework - whose architecture is scalable, extensible, and completely integrated into Open Stack - supports several wattmeter devices, multiple measurement formats, and minimises communication overhead.
Keywords :
cloud computing; computer centres; IT infrastructure; KWAPI; Kilo Watt API; OpenStack clouds; PUE; cloud computing; data centres; electrical power; energy consumption monitoring; energy management policies; extensible framework; generic framework; open stack clouds; power usage effectiveness; Computer architecture; Energy consumption; Measurement; Message systems; Monitoring; Power demand; Wattmeters; cloud; energy efficiency; energy monitoring; kwapi;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/BDCloud.2014.105
Filename :
7034862
Link To Document :
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