21st IEEE Symposium on Reliable Distributed Systems, 2002. Proceedings.
DOI: 10.1109/reldis.2002.1180197
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Modeling communication delays in distributed systems using time series

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Cited by 10 publications
(6 citation statements)
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“…Tondre [13] presented a technical computation and communication delay in distributed system. Nunes [14] worked on modeling communication delays in distributed systems using time series.…”
Section: Related Workmentioning
confidence: 99%
“…Tondre [13] presented a technical computation and communication delay in distributed system. Nunes [14] worked on modeling communication delays in distributed systems using time series.…”
Section: Related Workmentioning
confidence: 99%
“…As such, different adaptive failure detectors have been proposed [3,16]. Nunes and Jansch-Pôrto [14,15,16] compare different ways for predicting the round trip delays of messages on a wide area network. When combined with appropriate safety margins, these predictors can be used to implement efficient adaptive pull-style failure detection oracles [16].…”
Section: Related Workmentioning
confidence: 99%
“…More precisely, we presented a robust design for slowness oracles, in the sense that they allow adaptation to occur without requiring any difficult deployment decisions to be taken. Moreover, we showed how to match failure detection and slowness oracles in a more complete consensus architecture, in which both oracles follow a predictorbased approach [14,15,16].…”
Section: A Case Studymentioning
confidence: 99%
“…A modelagem tem usado tanto métodos simples para estimação, tais como apenas o valor doúltimo atraso [99], média simples [98], média exponencialmente ponderada [62], quanto métodos mais avançados como séries temporais [85,86,87].…”
Section: Modelagem De Atrasosunclassified
“…Chen et al [30], Bertier et al [20,21], Nunes e Jansch-Pôrto [85,86,87], Hayashibara et al [60] apresentam alguns dos detectores de defeitos adaptativos mais recentes. Chen et al apresentam um algoritmo do tipo push que usa a média dos atrasos recentes e uma margem de segurança (α) para estimar o próximo valor de timeout.…”
Section: Detectores De Defeitos Adaptativosunclassified