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https://hdl.handle.net/1822/37799
Título: | Fast estimation of aggregates in unstructured networks |
Autor(es): | Almeida, Paulo Sérgio Baquero, Carlos Menezes, Raquel |
Data: | 2009 |
Editora: | IEEE |
Citação: | Autonomic and Autonomous Systems, 2009. ICAS'09. Fifth International Conference on |
Resumo(s): | 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 fast, as the number of message exchange steps equals the diameter; and it is fully distributed, with no single point of failure and the result produced at every node. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/37799 |
ISBN: | 9781424436842 |
DOI: | 10.1109/ICAS.2009.31 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
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