Meng-Fu Shih

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Inference of network internal link characteristics has become an increasingly important issue for operating and evaluating large telecommunication networks. Since it is usually impractical to directly monitor each link along a specific path, end-to-end probes are sometimes used to collect link characteristic information at edge nodes of the network. This(More)
Providers of high quality-of-service over telecommunication networks require accurate methods for remote measurement of link-level performance. Recent research in network tomography has demonstrated that it is possible to estimate internal link characteristics, e.g., link delays and packet losses, using unicast probing schemes in which probes are exchanged(More)
As telecommunication networks grow larger and more complex, it is important to monitor internal link characteristics for operation, monitoring, and diagnosis purposes. Since router link monitoring is not practical due to high communication overhead, there has been considerable interest in monitoring from edge (end-to-end) observations. This paper focuses on(More)
In this paper, we address the problem of topology discovery in unicast logical tree networks using end-to-end measurements. Without any cooperation from the internal routers, topology estimation can be formulated as hierarchical clustering of the leaf nodes based on pairwise correlations as similarity metrics. Unlike previous work that first assumes the(More)
We propose a network topology estimation strategy using unicast end-to-end packet pair delay measurements that is based on mixture models for the delay covariances. An unsupervised learning algorithm is applied to estimate the number of mixture components and delay covariances. The leaf pairs are clustered by a MAP criterion and passed to a hierarchical(More)
In this paper we address the problem of topology discovery in unicast logical tree networks using endto-end measurements. Without any cooperation from the internal routers, topology estimation can be formulated as hierarchical clustering of the leaf nodes based on pair-wise correlations as similarity metrics. We investigate three types of similarity(More)
Gender is known to be associated with longevity and oestrogen administration induced longevity-associated gene expression is one of the potential mechanisms underlying the benefits of oestrogen on lifespan, whereas the role of testosterone in the regulation of longevity-associated gene expressions remains largely unclear. The klotho gene, predominantly(More)
Providers of high quality-of-service over telecommunication networks require accurate methods for remote measurement of link-level performance. Recent research in network tomography has demonstrated that it is possible to estimate internal link characteristics, e.g., link delays and packet losses, using unicast probing schemes in which probes are exchanged(More)