Towards Energy Consumption Measurement in a Cloud Computing Wireless Testbed

Bernardo, Vitor; Curado, Marilia; Staub, Thomas; Braun, Torsten (2011). Towards Energy Consumption Measurement in a Cloud Computing Wireless Testbed. In: IEEE First Symposium on Network Cloud Computing and Applications (NCCA 2011), Toulouse, France (pp. 91-98). IEEE 10.1109/NCCA.2011.22

Full text not available from this repository.

The evolution of the Next Generation Networks, especially the wireless broadband access technologies such as Long Term Evolution (LTE) and Worldwide Interoperability for Microwave Access (WiMAX), have increased the number of "all-IP" networks across the world. The enhanced capabilities of these access networks has spearheaded the cloud computing paradigm, where the end-users aim at having the services accessible anytime and anywhere. The services availability is also related with the end-user device, where one of the major constraints is the battery lifetime. Therefore, it is necessary to assess and minimize the energy consumed by the end-user devices, given its significance for the user perceived quality of the cloud computing services. In this paper, an empirical methodology to measure network interfaces energy consumption is proposed. By employing this methodology, an experimental evaluation of energy consumption in three different cloud computing access scenarios (including WiMAX) were performed. The empirical results obtained show the impact of accurate network interface states management and application network level design in the energy consumption. Additionally, the achieved outcomes can be used in further software-based models to optimized energy consumption, and increase the Quality of Experience (QoE) perceived by the end-users.

Item Type:	Conference or Workshop Item (Paper)
Division/Institute:	08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS) 08 Faculty of Science > Institute of Computer Science (INF)
UniBE Contributor:	Staub, Thomas, Braun, Torsten
ISBN:	978-1-4577-1667-6
Publisher:	IEEE
Language:	English
Submitter:	Dimitrios Xenakis
Date Deposited:	04 Oct 2013 14:27
Last Modified:	05 Dec 2022 14:08
Publisher DOI:	10.1109/NCCA.2011.22
URI:	https://boris.unibe.ch/id/eprint/9966 (FactScience: 215784)