Abstract
Use of multicast traffic as measurement probes has been shown effective to infer network-internal characteristics. In a network the links that have a packet loss rate greater than a given threshold are called lossy links. Lossy links adversely affect network performance and collectively cause break-down of network service in many cases. We propose a new approach to identify the lossy links from multicast end-to-end measurements. It is based on hamming distance of sequences on receipt/loss of probe packets maintained at each pair of sibling nodes. With prior knowledge of multicast network topology, all lossy links can be effectively identified by our approach.
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Caceres, R., Duffield, N.G., Horowitz, J., Towsley, D.: Multicast-based inference of network-internal loss characteristics. IEEE Trans. Information Theory (1999)
Careres, R., Duffield, N.G., Horowitz, H., Towsley, D., Bu, T.: Multicastbased inference of network internal loss characteristics: Accuracy of packet loss estimation. In: Proc. of Infocom 1999, New York, NY (1999)
Duffield, N.G., Horowitz, J., Lo Presti, F., Towsley, D.: Multicast topology inference from measured end-to-end loss. IEEE Trans. Information Theory (2002)
Lo Presti, F., Duffield, N.G., Horowitz, J., Towsley, D.: Multicast-based inference of network-internal delay distributions. IEEE/ACM Transactions on Networking 10(6) (December 2002)
Tian, H., Shen, H.: Multicast-based inference of network internal loss performance. In: Proceedings of ISPAN 2004 (May 2004)
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© 2004 Springer-Verlag Berlin Heidelberg
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Tian, H., Shen, H. (2004). Lossy Link Identification for Multicast Network. In: Liew, KM., Shen, H., See, S., Cai, W., Fan, P., Horiguchi, S. (eds) Parallel and Distributed Computing: Applications and Technologies. PDCAT 2004. Lecture Notes in Computer Science, vol 3320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30501-9_85
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DOI: https://doi.org/10.1007/978-3-540-30501-9_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24013-6
Online ISBN: 978-3-540-30501-9
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