2005
DOI: 10.1007/11549468_73
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Self-stabilizing Publish/Subscribe Systems: Algorithms and Evaluation

Abstract: Most research in the area of publish/subscribe systems has not considered fault-tolerance as a central design issues. However, faults do obviously occur and masking all faults is at least expensive if not impossible. A potential alternative (or sensible supplementation) to fault masking is self-stabilization which allows a system to recover from arbitrary transient faults such as memory perturbations, communication errors, and process crashes with subsequent recoveries. In this paper we discuss how publish/sub… Show more

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Cited by 20 publications
(18 citation statements)
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“…In both cases the CBR network must be able to adapt to such situations. Again, some proposals already exist to solve this issue, like those on self-stabilizing CBR [50,64,75], those that suggest using a peer-to-peer overlay substrate to exploit its self-organizing capabilities [6,39,70,68,59], and our own works in the area [26,23,21,24]. Unfortunately, all these approaches still present some limitations in terms of performance.…”
Section: Discussionmentioning
confidence: 94%
“…In both cases the CBR network must be able to adapt to such situations. Again, some proposals already exist to solve this issue, like those on self-stabilizing CBR [50,64,75], those that suggest using a peer-to-peer overlay substrate to exploit its self-organizing capabilities [6,39,70,68,59], and our own works in the area [26,23,21,24]. Unfortunately, all these approaches still present some limitations in terms of performance.…”
Section: Discussionmentioning
confidence: 94%
“…As starting basis, we build on a model for self-stabilizing pub/sub systems developed in previous work [8]. Basically, we assume a hierarchical routing algorithm based on an acyclic broker topology with bidirectional FIFO links connecting individual nodes.…”
Section: Assumptions and Modelmentioning
confidence: 99%
“…Such a pub/sub system works correctly, if it meets the following two requirements [8]: (i) every client receives only the published notifications it has subscribed for (without duplicates) and (ii) every subscription becomes active after finite time, from which on the client receives every published notification matching its subscription until it unsubscribes.…”
Section: Assumptions and Modelmentioning
confidence: 99%
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