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Efficient Identification of Additive Link Metrics via Network Tomography
2013
2013 IEEE 33rd International Conference on Distributed Computing Systems
We investigate the problem of identifying individual link metrics in a communication network from accumulated end-to-end metrics over selected measurement paths, under the assumption that link metrics are additive and constant during the measurement, and measurement paths cannot contain cycles. We know from linear algebra that all link metrics can be uniquely identified when the number of linearly independent measurement paths equals n, the number of links. It is, however, inefficient to
doi:10.1109/icdcs.2013.24
dblp:conf/icdcs/MaHLTS13
fatcat:rau2opn4kba4jp35m7nr5qgqgi