An Effective Method of Monitoring the Large-Scale Traffic Pattern Based on RMT and PCA
Joint Authors
Liu, Jia
Gao, Peng
Yuan, Jian
Du, Xuetao
Source
Journal of Probability and Statistics
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-06-15
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Mechanisms to extract the characteristics of network traffic play a significant role in traffic monitoring, offering helpful information for network management and control.
In this paper, a method based on Random Matrix Theory (RMT) and Principal Components Analysis (PCA) is proposed for monitoring and analyzing large-scale traffic patterns in the Internet.
Besides the analysis of the largest eigenvalue in RMT, useful information is also extracted from small eigenvalues by a method based on PCA.
And then an appropriate approach is put forward to select some observation points on the base of the eigen analysis.
Finally, some experiments about peer-to-peer traffic pattern recognition and backbone aggregate flow estimation are constructed.
The simulation results show that using about 10% of nodes as observation points, our method can monitor and extract key information about Internet traffic patterns.
American Psychological Association (APA)
Liu, Jia& Gao, Peng& Yuan, Jian& Du, Xuetao. 2010. An Effective Method of Monitoring the Large-Scale Traffic Pattern Based on RMT and PCA. Journal of Probability and Statistics،Vol. 2010, no. 2010, pp.1-16.
https://search.emarefa.net/detail/BIM-467186
Modern Language Association (MLA)
Liu, Jia…[et al.]. An Effective Method of Monitoring the Large-Scale Traffic Pattern Based on RMT and PCA. Journal of Probability and Statistics No. 2010 (2010), pp.1-16.
https://search.emarefa.net/detail/BIM-467186
American Medical Association (AMA)
Liu, Jia& Gao, Peng& Yuan, Jian& Du, Xuetao. An Effective Method of Monitoring the Large-Scale Traffic Pattern Based on RMT and PCA. Journal of Probability and Statistics. 2010. Vol. 2010, no. 2010, pp.1-16.
https://search.emarefa.net/detail/BIM-467186
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-467186