2015
DOI: 10.12785/amis/090108
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The Minimal Dependency Relation for Causal Event Ordering in Distributed Computing

Abstract: Several algorithms of different domains in distributed systems are designed over the principle of the Happened-Before Relation (HBR). One common aspect among them is that they intend to be efficient in their implementation by identifying and ensuring the necessary and sufficient dependency constraints. In this pursuit, some previous works talk about the use of a transitive reduction of the causality. However, none of these works formally prove in a broad manner that such transitive reduction is the minimal exp… Show more

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Cited by 8 publications
(18 citation statements)
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“…We notice that in our protocol, as for the minimal causal algorithm in [14], the likelihood that the worst case will occur approaches zero as the number of participants in the group grows. This is because the likelihood that k concurrent messages occur decreases inversely proportional to the size of the communication group.…”
Section: Overhead Analysismentioning
confidence: 87%
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“…We notice that in our protocol, as for the minimal causal algorithm in [14], the likelihood that the worst case will occur approaches zero as the number of participants in the group grows. This is because the likelihood that k concurrent messages occur decreases inversely proportional to the size of the communication group.…”
Section: Overhead Analysismentioning
confidence: 87%
“…The Immediate Dependency Relation [14] is the propagation threshold of the control information, regarding the messages sent in the causal past which must be transmitted to ensure a causal delivery. IDR is denoted as "↓" and its formal definition is as follows.…”
Section: The Immediate Dependency Relation (Idr)mentioning
confidence: 99%
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