V. Padmanabhan, L. Qui, and H. J. Wang. Server-based inference of internet link lossiness. In Proceedings of IEEE Infocom, San Francisco, CA, Mar. 2003. Home/Search Document Details and Download
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....to each of the sending peers. It also determines which data packets should be sent by each peer. Therefore, it is easy to determine the loss rates on individual end to end paths. To compute the segment wise loss rates, we use the recently proposed Bayesian inference using Gibbs sampling method [21]. The method models the network tomography (for segment wise loss rates) as a Bayesian inference problem. Then, using the measured data and an assumed initial distribution for the segment losses, the method iteratively computes the posterior distribution of the segment losses [21] Overhead ....
....sampling method [21] The method models the network tomography (for segment wise loss rates) as a Bayesian inference problem. Then, using the measured data and an assumed initial distribution for the segment losses, the method iteratively computes the posterior distribution of the segment losses [21]. Overhead estimation. We consider two types of overhead: processing and communication. The communication overhead is due to the probing packets. However, as noted above, we send actual data packets as probes. Thus, effectively, we do not introduce communication overhead. The receiver, though, ....
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