| S. Alouf, P.Nain, and D. Towsley, "Inferring Network Characteristics via Moment-Based Estimators," in Proceedings of IEEE INFOCOM, Apr. 2001. |
....transparent to TCP flows. A second class of applications of TCP LP is inference of available bandwidth for network monitoring, end point admission control [3] and performance optimization (e.g. to select a mirror server with the highest available bandwidth) Current techniques (e.g. 4] [5], 6] estimate available bandwidth by making statistical inferences on measurements of the delay or loss characteristics of a sequence of transmitted probe packets. In contrast, TCP LP is algorithmic with the goal of transmitting at the rate of the available bandwidth. Consequently, competing ....
.... Finally, as TCP LP targets transmitting at the rate of available bandwidth, it is related to cross traffic estimation algorithms which attempt to infer the available bandwidth via probing (see reference [6] for a thorough review of such algorithms) For example, Ribeiro et al. 4] and Alouf et al. [5] provide algorithms for estimation of parameters of competing cross traffic under multifractal and Poisson models of cross traffic. In contrast, TCP LP provides an adaptive estimation of available bandwidth by continually monitoring one way delays and dynamically tracking the excess capacity. ....
S. Alouf, P. Nain, and D. Towsley, "Inferring network characteristics via moment-based estimators," in Proceedings of IEEE INFOCOM '01, Anchorage, Alaska, Apr. 2001.
....transparent to TCP flows. A second class of applications of TCP LP is inference of available bandwidth for network monitoring, end point admission control [3] and performance optimization (e.g. to select a mirror server with the highest available bandwidth) Current techniques (e.g. 4] [5], 6] estimate available bandwidth by making statistical inferences on measurements of the delay or loss characteristics of a sequence of transmitted probe packets. In contrast, TCP LP is algorithmic with the goal of transmitting at the rate of the available bandwidth. Consequently, competing ....
.... Finally, as TCP LP targets transmitting at the rate of available bandwidth, it is related to cross traffic estimation algorithms which attempt to infer the available bandwidth via probing (see reference [6] for a thorough review of such algorithms) For example, Ribeiro et al. 4] and Alouf et al. [5] provide algorithms for estimation of parameters of competing cross traffic under multifractal and Poisson models of cross traffic. In contrast, TCP LP provides an adaptive estimation of available bandwidth by continually monitoring one way delays and dynamically tracking the excess capacity. ....
S.Alouf,P.Nain,andD.Towsley, "Inferring network characteristics via moment-based estimators," in Proceedings of IEEE INFOCOM '01, Anchorage, Alaska, Apr. 2001.
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S. Alouf, P.Nain, and D. Towsley, "Inferring Network Characteristics via Moment-Based Estimators," in Proceedings of IEEE INFOCOM, Apr. 2001.
No context found.
S. Alouf, P. Nain, and D. Towsley. Inferring network characteristics via moment-based estimators. In IEEE INFOCOM, 2001.
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S. Alouf, P. Nain and D. Towsley, Inferring Network Characteristics via Moment-Based Estimators, Proceedings of IEEE Infocom, 2001.
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S. Alouf, P. Nain, and D. Towsley. Inferring network characteristics via moment-based estimators. In IEEE INFOCOM, 2001.
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Sara Alouf, Philippe Nain, and Donald F. Towsley, "Inferring network characteristics via moment-based estimators," in INFOCOM, 2001, pp. 1045--1054.
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Sara Alouf, Philippe Nain, and Don Towsley, "Inferring network characteristics via moment-based estimators," in infocom, Anchorage, Alaska, Apr. 2001.
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S. Alouf, P. Nain, and D. Towsley. Inferring network characteristics via moment-based estimators. In IEEE INFOCOM, 2001.
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S. Alouf, P. Nain, and D. Towsley. Inferring network characteristics via moment-based estimators. In Societies (INFOCOM), Apr. 2001.
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