TY - GEN
T1 - A comparison of some bottleneck-link detection methods for network tomography
AU - Johnson, Nick
AU - Thompson, John
AU - McLaughlin, Steve
AU - Garcia, Francisco J.
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - Network tomography offers a useful method to identify internal problems in a network using data which can be obtained at the network's edge. Provided the topology of the network is known then it is possible to recover from the edge measurements some properties of internal links of the network which may not be accessible for any number of reasons - cost, ownership, physical location etc. In this paper we introduce two new estimation algorithms based on the Pearson type-1 distribution and compare these with existing estimator and detector algorithms used to find the bottleneck link in a wired network, that is, the link experiencing the highest delay.
AB - Network tomography offers a useful method to identify internal problems in a network using data which can be obtained at the network's edge. Provided the topology of the network is known then it is possible to recover from the edge measurements some properties of internal links of the network which may not be accessible for any number of reasons - cost, ownership, physical location etc. In this paper we introduce two new estimation algorithms based on the Pearson type-1 distribution and compare these with existing estimator and detector algorithms used to find the bottleneck link in a wired network, that is, the link experiencing the highest delay.
UR - http://www.scopus.com/inward/record.url?scp=84863747380&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84863747380
SN - 9781617388767
T3 - European Signal Processing Conference
SP - 1660
EP - 1664
BT - 2009 17th European Signal Processing Conference
PB - IEEE
T2 - 17th European Signal Processing Conference 2009
Y2 - 24 August 2009 through 28 August 2009
ER -