Fast Estimation of Aggregates in Unstructured Networks

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Fast Estimation of Aggregates in Unstructured Networks
Aggregation of data values plays an important role on distributed computations, in particular over peer-to-peer and sensor networks, as it can provide a summary of some global system property and direct the actions of self-adaptive distributed algorithms. Examples include using estimates of the network size to dimension distributed hash tables or estimates of the average system load to direct loadbalancing. Distributed aggregation using non-idempotent functions, like sums, is not trivial as it is not easy to prevent a given value from being accounted for multiple times; this is especially the case if no centralized algorithms or global identifiers can be used. This paper introduces Extrema Propagation, a probabilistic technique for distributed estimation of the sum of positive real numbers. The technique relies on the exchange of duplicate insensitive messages and can be applied in flood and/or epidemic settings, where multi-path routing occurs; it is tolerant of message loss; it is...
Carlos Baquero, Paulo Sérgio Almeida, Raque
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICAS
Authors Carlos Baquero, Paulo Sérgio Almeida, Raquel Menezes
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