NDLI: An accurate method to estimate traffic matrices from link loads for QoS provision

Content Provider	IEEE Xplore Digital Library
Author	Wang, Xingwei Jiang, Dingde Xu, Zhengzheng Chen, Zhenhua
Copyright Year	2011
Abstract	Effective traffic matrix estimation is the basis of efficient traffic engineering, and therefore, quality of service provision support in IP networks. In this study, traffic matrix estimation is investigated in IP networks and an Elman neural network-based traffic matrix inference (ENNTMI) method is proposed. In ENNTMI, the conventional Elman neural network is modified to capture the spatiotemporal correlations and the time-varying property, and certain side information is introduced to help estimate traffic matrix in a network accurately. The regular parameter is further introduced into the optimal equation. Thus, the highly ill-posed nature of traffic matrix estimation is overcome effectively and efficiently.
Starting Page	624
Ending Page	631
Page Count	8
File Size	2133320
File Format	PDF
ISSN	12292370
Volume Number	12
Issue Number	6
Language	English
Publisher	Editorial Department of Journal of Communications and Networks
Publisher Date	2010-12-01
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	JCN
Subject Keyword	Estimation Mathematical model Correlation IP networks Equations Quality of service Computational modeling traffic matrix estimation Ill-posed nature origin-destination flow quality of service (QoS) provision traffic engineering
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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An accurate method to estimate traffic matrices from link loads for QoS provision