DocumentCode
2047501
Title
Identifying network failure via detecting changes in power profile
Author
Mahmoodi, Toktam ; Roveri, Manuel
Author_Institution
Centre for Telecommun. Res., Kings Coll. London, London, UK
fYear
2012
fDate
19-23 March 2012
Firstpage
758
Lastpage
763
Abstract
Failure in the network devices can be identified by detecting changes in the behaviour of the network. Such a network can be part of the communication infrastructure, which will play a significant role in the emergency managements. Network power consumption behaviour, namely its power profile, is a relatively robust profile such that from changes in that profile failure of the links or/and the nodes in the network can be detected. In this paper, we propose a statistical change detection system that relies on the Intersection of Confidence Intervals (ICI)-based test to detect variations in the profile of the power consumption. After failure detection, the proposed solution continues reading new samples of power consumption data to build the new power profile, which will allow us to detect multiple failures that occur in series. Through numerical examinations we show the effectiveness of the change detection action.
Keywords
computer network reliability; power aware computing; statistical analysis; ICI-based test; emergency managements; intersection of confidence intervals-based test; link profile failure; multiple failure detection; network behaviour change detection; network device failure; network failure identification; network power consumption behaviour; power consumption profile variation detection; power profile change detection; statistical change detection system; Accuracy; Data models; Delay; Load modeling; Power demand; Stationary state; Training; Network failure detection; change detection test; network power model;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2012 IEEE International Conference on
Conference_Location
Lugano
Print_ISBN
978-1-4673-0905-9
Electronic_ISBN
978-1-4673-0906-6
Type
conf
DOI
10.1109/PerComW.2012.6197614
Filename
6197614
Link To Document