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Detecting Causal Relationships in Distributed Computations: In Search of the Holy Grail1

  • The paper shows that characterizing the causal relationship between significant events is an important but non-trivial aspect for understanding the behavior of distributed programs. An introduction to the notion of causality and its relation to logical time is given; some fundamental results concerning the characterization of causality are pre- sented. Recent work on the detection of causal relationships in distributed computations is surveyed. The relative merits and limitations of the different approaches are discussed, and their general feasibility is analyzed.

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Metadaten
Author:Reinhard Schwarz, Friedemann Mattern
URN (permanent link):urn:nbn:de:hbz:386-kluedo-4006
Document Type:Preprint
Language of publication:English
Year of Completion:1999
Year of Publication:1999
Publishing Institute:Technische Universität Kaiserslautern
Date of the Publication (Server):2000/04/20
Tag:Causal Ordering; Causality; Distributed Computation; Distributed Deb; Distributed System; Global Predicate Detection; Logical Time; Vector Time
Faculties / Organisational entities:Fachbereich Informatik
DDC-Cassification:0 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Licence (German):Standard gemäß KLUEDO-Leitlinien vor dem 27.05.2011