학술논문

A Generic and Extensible Framework for Monitoring Energy Consumption of OpenStack Clouds
Document Type
Conference
Source
2014 IEEE Fourth International Conference on Big Data and Cloud Computing Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on. :696-702 Dec, 2014
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Monitoring
Computer architecture
Wattmeters
Message systems
Power demand
Measurement
Energy consumption
energy efficiency
cloud
energy monitoring
kwapi
Language
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.