Active Learning in Network Monitoring

author: Mark Coates, Department of Electrical and Computer Engineering, McGill University
published: Nov. 8, 2010,   recorded: June 2010,   views: 2529


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In several latency in obtaining information about the state of the network. The adoption of active learning techniques can result in a dramatic reduction in the number of measurement probes and the time required to obtain accurate estimates of network performance metrics. We describe how these techniques can be employed in estimating loss and delay metrics and conducting fault diagnosis. In particular we focus on active learning methods for simultaneously estimating the available bandwidth on multiple paths through the network.

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