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Algorithms for Large-Scale Topology Discovery
An insight of the Internet topology discovery scalability
Engels
175 b
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There is a growing interest in discovery of internet§topology at the §interface level. A new §generation of highly distributed measurement systems§is currently §being deployed. §Unfortunately, prior to this thesis, the research§community has not §examined the problem §of how to perform such measurements efficiently and§in a network-§friendly manner. In this §book, we make several contributions toward that end.§ First, we §show that standard §topology discovery methods are quite inefficient,§repeatedly probing §the same interfaces. §This is a concern, because when scaled up, such§methods will §generate so much traffic that §they will begin to resemble DDoS attacks. As it is§not unusual for a §route tracing monitor §to operate in isolation, we next propose and evaluate§strategies for §reducing redundancy §within a single monitor. We third propose and§evaluate Doubletree, a §cooperative algorithm §that reduces redundancy simultaneously on routers and§end §systems. Finally, we also §provide a generalization of Bloom filters, called§retouched Bloom §filters, that permits false §negatives in addition to false positives and allows a§trade-off §between the two.
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