| R. Caceres, N. G. Duffield, J. Horowitz, and D. Towsley, "Multicast-Based Inference of Network-Internal Loss Characteristics," IEEE Transactions in Information Theory, pp. 2462-- 2480, 1999. |
....at edge nodes. Tomography provides a vital tool for characterizing network behaviors without cooperating internal nodes. This is especially useful when either internal parameters are inaccessible or direct measurement of data traffic statistics are not supported by internal switches and routers [1, 2, 3, 5]. Link level packet delays are important particulars for optimizing network performance and evaluating quality of service (QoS) While transmission and propagation delays are usually considered as constant factors, the queueing delays contribute random packet delays. The inference of link delay ....
R. Caceres, N.G. Duffield, J. Horowitz, D.F. Towsley, "Multicast-based inference of network-internal loss characteristics," IEEE Trans. on Information Theory, vol.45, no.7, Nov. 1999.
....reaction to attacks on the QoS provisioned DS network domain. Although measurement of path characteristics [26, 27] and network monitoring [5, 14, 20] have been extensively investigated, few studies of user SLA validation have been performed [10] Inspired by recent results on network tomography [1, 6, 7], we infer internal characteristics of a network domain using edge to edge probes, and design a distributed monitoring system to detect service violations and bandwidth theft in a network domain. We employ agents on selected routers of the DS domain to efficiently measure packet delays, loss, and ....
....techniques in SPAND, Detour, and RON are useful but not directly applicable to violation detection in a QoS network domain. 2. 3 Network Tomography Network tomography is an approach to infer the internal behavior of a network based on purely end to end measurements [31] A number of studies [1, 6, 7] have shown how to infer loss and delay, and discover the topology of a multicast network. Coates and Nowark [11, 12] discuss delay and loss inference using unicast probing in order to monitor TCP flows [31] Duffield et al. [15] use packet stripes (back to back probe packets) to infer link loss ....
R. Caceres, N. G. Duffield, J. Horowitz, and D. Towsley. Multicast-based inference of network-internal loss characteristics. IEEE Transactions on Information Theory, Nov 1999.
....in the one way and return path and path variations during the measurement limit RTT based measurements. To surmount these problems and because large amounts of unicast traffic are necessary to cover substantial parts of the Internet much attention is payed to multicast inference (e.g. 2] 8] and [13]) The key idea in multicast inference is to obtain performance measures of common links in a mul ticast tree based on the statistics of the multicast users. Delft University of Technology, Information Technology and Systems, P.O. Box 5031, 2600 GA Delft, The Netherlands. Emaih G. ....
R. Caceres, N.G. Duffield, J. Horowitz and D. Towsley, "Multicast-based inference of network internal loss character- istics", To appear in IEEE TON.
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R. Caceres, N. Du#eld, J. Horowitz, and D. Towsley, "Multicast-based inference of network-internal loss characteristics," IEEE Transactions on Information Theory, November 1999.
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R. Caceres, N.G. Duffield, J.Horowitz and D. Towsley, "Multicast-Based Inference of Network Internal Loss Characteristics" IEEE Trans. on Information Theory, vol. 45, pp. 2462-2480, 1999.
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R. Caceres, N.G. Duffield, J.Horowitz and D. Towsley, "Multicast-Based Inference of Network Internal Loss Characteristics" IEEE Trans. on Information Theory, vol. 45, pp. 2462-2480, 1999.
....for determining internal network characteristics based solely on end to end measurements. This is because multicast introduces correlation in the end to end behavior observed by different receivers within the same multicast session. This correlation can be used to estimate packet loss rates, [1], packet delay distributions, 6] and packet delay variances, 5] These methods can be used as part of a multicast capable measurement infrastructure, such as NIMI (National Internet Measurement Infrastructure) 10] for the purpose of monitoring internal network behavior. All of these ....
....is by taking minima x x 2 = x 1 x 2 and the identity is z = 1; a packet is transmitted on a path if it would be transmitted on all links of that path. Aggregation is by taking maxima x 1 x 2 = x 1 x 2 ; hence e x k = 1 if a packet reaches any receiver descended from k. It can be shown [1] that the path loss probabilities are related to aggregate loss probabilities at descendant nodes through P [x p(a(j;k) 1] P [ex j = 1]P [ex k = 1] P [ex j = e x k = 1] 3) The generic distribution on X takes the form (1 ) 0 1 for some 2 [0; 1] We define to act by ....
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R. Caceres, N.G. Duffield, J.Horowitz and D. Towsley, "Multicast-Based Inference of Network Internal Loss Characteristics", IEEE Trans. on Information Theory, November 1999.
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R. Caceres, N. G. Duffield, J. Horowitz, and D. Towsley, "Multicast-Based Inference of Network-Internal Loss Characteristics," IEEE Transactions in Information Theory, pp. 2462-- 2480, 1999.
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R. Caceres, N. Duffield, J. Horowitz, and D. Towsley. Multicast-based inference of network-internal loss characteristics. IEEE Transactions on Information Theory, November 1999.
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R. Caceres, N. Duffield, J. Horowitz, and D. Towsley. Multicast-based inference of network-internal loss characteristics. IEEE Transactions on Information Theory, November 1999.
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R. Caceres, N. Duffield, J. Horowitz, and D. Towsley, "Multicast-based inference of network-internal loss characteristics," IEEE Trans. Inform. Theory, vol. 45, no. 7, pp. 2462--2480, Nov. 1999.
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R. Caceres, N.G. Duffield, J. Horowitz, and D. Towsley, "Multicastbased Inference of Network Internal Loss Characteristics", IEEE Transactions on Information Theory, November 1999
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R. Caceres, N.G. Duffield, J. Horowitz, and D. Towsley, "Multicast-based inference of network-internal loss characteristics," IEEE Transactions on Information Theory, pp. 2462--2480, 1999.
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R. Caceres, N.G. Duffield, J. Horowitz and D. Towsley "Multicast-Based Inference of Network-Internal Loss Characteristics ", IEEE Transactions on Information theory, Vol.45, No7, November 1999,
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R. Caceres, N. Duffield, J. Horowitz, and D. Towsley. Multicast Based Inference of Network Internal Loss Characteristics. IEEE Trans. on Information Theory, 45:2462--2480, 1999.
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R. Caceres, N.G. Duffield, J. Horowitz, D.F. Towsley, "Multicast-based inference of network-internal loss characteristics," IEEE Trans. on Information Theory, vol.45, no.7, Nov. 1999.
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R. Caceres, N.G. Dueld, J. Horowitz, and D. Towsley. Multicast-based inference of network-internal loss characteristics. IEEE Trans. on Information Theory, 45:24622480, 1999.
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R. Caceres, N.G. du#eld, J. Horowitz, and D. Towsley, "Multicast-based inference of network internal loss characteristics," IEEE Transactions on Information Theory, vol. 45, no. 7, pp. pp. 2462--2480, November 1999.
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R. Caceres, N. Duffield, D. Towsley, and J. Horowitz, "Multicast-based inference of network-internal loss characteristics," IEEE Transactions on Information Theory, vol. 45, no. 7, pp. 2462--2480, November 1999.
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R. Caceres, N. G. Duffield, J. Horowitz, and D. Towsley. Multicast-based inference of networkinternal loss characteristics. IEEE Transactions on Information Theory, 7:2462--2480, Nov 1999.
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R. Caceres, N.G. Dufeld, J. Horowitz, and D. Towsley. Multicast-based inference of network internal loss characteristics. IEEE Transactions on Information Theory, v.45, n.7, 1999, pp. 2462-2480.
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R. Caceres, N. Du#eld, J. Horowitz, and D. Towsley, "Multicast-based inference of network-internal loss characteristics," IEEE Transactions in Information Theory, vol. 45, 1999.
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R. Caceres, N. G. Duffield, J. Horowitz, and D. F. Towsley. Multicast-Based Inference of Network-Internal Loss Characteristics. IEEE Transactions on Information Theory, 45(7):2462--2480, Nov. 1999.
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R. Caceres, N. Duffield, J. Horowitz, and D. Towsley, "Multicast-based inference of network-internal loss characteristics, " IEEE Trans. Info. Theory, vol. 45, no. 7, pp. 2462-- 2480, November 1999.
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R. Caceres, N.G. Duffield, J. Horowitz, D.F. Towsley, "Multicastbased inference of network-internal loss characteristics," IEEE Trans. on Information Theory, vol.45, no.7, Nov. 1999.
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