DocumentCode :
722631
Title :
NetTomo: A tomographic approach towards network diagnosis
Author :
Ramanan, Paritosh ; Kamath, Goutham ; Wen-Zhan Song
Author_Institution :
Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA
fYear :
2015
fDate :
14-17 June 2015
Firstpage :
1
Lastpage :
8
Abstract :
Network diagnosis is a vital aspect in ensuring an efficient and robust functioning of any kind of mesh network. In this paper we present a network diagnosis method which determines the delay map of a mesh network using only end-to-end delay measurements without having the knowledge of the path taken. We model the problem of network diagnosis as an inverse problem and using a concept of ray tracing, solve for the delay in the network. With the help of simulations we show that our algorithm is able to detect nodes in the network based on their delays with reasonable accuracy using only O(n) probes for obtaining measurements. We further demonstrate a real world application of our algorithm in the domain of internet backbone networks by using data pertaining to a major US based network provider.
Keywords :
Internet; computer network reliability; inverse problems; ray tracing; synchronisation; telecommunication equipment testing; Internet backbone networks; NetTomo; US based network provider; delay map; end-to-end delay measurements; inverse problem; mesh network; network diagnosis method; ray tracing; Artificial neural networks; Computed tomography; Mathematical model; Peer-to-peer computing; Robustness; Throughput; Inverse Problem; Linear Algebra; Mesh Networks; Network Diagnosis; Network Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2015 IEEE 16th International Symposium on a
Conference_Location :
Boston, MA
Type :
conf
DOI :
10.1109/WoWMoM.2015.7158156
Filename :
7158156
Link To Document :
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