NDLI: A Novel Network Tomography Approach for Traffic Matrix Estimation Problem in Large-Scale IP Backbone Networks

Content Provider	IEEE Xplore Digital Library
Author	Laisen Nie
Copyright Year	2015
Description	Author affiliation: Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China (Laisen Nie)
Abstract	A traffic matrix is an important input for some network management function such as traffic engineering and network planning. However, traffic matrix usually cannot be obtained directly. That is because the existing network traffic motoring techniques do not extremely well in practice. The common approaches for obtaining a traffic matrix are estimating it via other available information, such as link loads and routing information. The approach using link loads and routing information to infer the traffic matrix is named network tomography approach. Due to the ill-posed nature of the network tomography model, the network tomography techniques still face many challenges for the traffic matrix estimation problem. Motivated by this issue, we propose an optimization model to conquer the ill-posed nature of the network tomography model. In details, we first perturb the network tomography model by a stochastic matrix, which draws on idea from compressive sensing techniques. Then the perturbed model can be solve by a convex optimization model. However, this convex optimization cannot precisely estimate the traffic matrix since the coherence of the perturbed model. Then we proposed an improved optimization model by means of the network tomography model.
Starting Page	97
Ending Page	101
File Size	454928
Page Count	5
File Format	PDF
e-ISBN	9781467391665
DOI	10.1109/CSMA.2015.26
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Estimation error Network traffic estimation Convex optimization Tomography Routing Yttrium Mathematical model Network tomography Compressed sensing Traffic matrix
Content Type	Text
Resource Type	Article

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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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