A COMPARISON OF SOME BOTTLENECK-LINK DETECTION METHODS FOR
2009
Network tomography offers a useful method to identify inter nal 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 mea surements 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 in troduce two new estimation algorithms based on the Pearson type-I distribution and compare these with existing estima tor and detector algorithms used to find the bottleneck link in a wired network, that is, the link experiencing the highest delay.
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