| Jun Liu, Ibrahim Matta, and Mark Crovella, "End-to-end inference of loss nature in a hybrid wired/wireless environment," in Proceedings of WiOpt'03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2003. |
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Jun Liu, Ibrahim Matta, and Mark Crovella, "End-to-end inference of loss nature in a hybrid wired/wireless environment," in Proceedings of WiOpt'03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2003.
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Jun Liu, Ibrahim Matta, and Mark Crovella, "End-to-end inference of loss nature in a hybrid wired/wireless environment," in Proceedings of WiOpt'03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2003.
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J. Liu, I. Matta, and M. Crovella. End-to-end inference of loss nature in a hybrid wired/wireless environment. INRIA Sophia-Antipolis, France, March 2003. WiOpt'03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks.
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J. Liu, I. Matta, and M. Crovella. End-to-End Inference of Loss Nature in a Hybrid Wired/Wireless Environment. In Proceedings of WiOpt'03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2003.
....are not an indication of resource scarcity in the routers and it is intuitive that an informed transport protocol would treat such packet losses di#erently. But for an endto end protocol, inferring the nature of loss without any aid from the network is challenging. Nevertheless, many proposals [15, 10] attempted to infer (implicitly or explicitly) the reason of a packet loss, in an end toend way, by analyzing measured delays, throughput or other metric. Our approach is also end to end. We elucidate the di#erence in the output (measured) statistics under different type of losses, and exploit ....
....the queue build up. In our evaluation, we show that the sample distributions conditioned on the type of loss is more informative in most cases than simple random coin flips. Another approach attempts to understand the path characteristics by modeling it as a multi state space Markov model. In [15], the authors have developed a technique based on the loss pair measurement technique and Hidden Markov Models (HMMs) They have used the intuition that the delay distribution around wireless losses is di#erent from that around congestion losses. The classification of loss is done based on the ....
Jun Liu, Ibrahim Matta, and Mark Crovella. Endto -End Inference of Loss Nature in a Hybrid Wired/Wireless Environment. In Proceedings of WiOpt'03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2003.
No context found.
J. Liu, I. Matta, and M. Crovella, "End-to-end inference of loss nature in a hybrid wired/wireless environment," in Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, March 2003.
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J. Liu, I. Matta, and M. Crovella, "End-to-end inference of loss nature in a hybrid wired/wireless environment," in (to appear) WiOpt'03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, INRIA Sophia-Antipolis, France, Mar. 2003.
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J. Liu, I. Matta and M. Crovella. End-to-End Inference of Loss Nature in a Hybrid Wired/Wireless Environment, WiOpt`03, March 2003.
No context found.
J. Liu, I. Matta, and M. Crovella, "End-to-end inference of loss nature in a hybrid wired/wireless environment, " in (to appear) WiOpt'03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, INRIA Sophia-Antipolis, France, Mar. 2003.
No context found.
J. Liu, I. Matta, and M. Crovella, "End-to-end inference of loss nature in a hybrid wired/wireless environment," in (to appear) WiOpt'03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, INRIA Sophia-Antipolis, France, Mar. 2003.
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