This paper analyzes computation of causality relationships in distributed systems. We give a
formal framework based upon partial orders for this study. The initial algorithm dealing with …

In distributed systems it is often important to be able to determine the temporal relationships
between events generated by different processes. An algorithm to determiue such …

Several works in distributed systems have been designed based on the Happened-Before
Relation (HBR). Most of these works intend to be efficient in their implementation by …

Many distributed applications require the knowledge of the causality relation induced by the
computation. Reconstructing this relation appears to be an interesting tool for such …

This paper investigates a solution to the problem of causal ordering in messagepassing
distributed systems. Causal ordering is the restriction that messages are delivered in a fo …

Several algorithms of different domains in distributed systems are designed over the
principle of the Happened-Before Relation (HBR). One common as-pect among them is that …

Vector clocks are the appropriate mechanism to track causality among the events produced
by a distributed computation. Traditional implementations of vector clocks require …

A distributed computation is usually modeled as a partially ordered set of relevant events
(the relevant events are a subset of the primitive events produced by the computation). An …

Understanding distributed computations and mastering their complexity strongly depends on
our ability to observe and to analyze their causal structure. In this paper, we briefly introduce …

Causal message ordering is a partial ordering of messages in a distributed computing
environment. It places a restriction on communication between processes by requiring that if …