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