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Lookup NU author(s): Professor Paolo MissierORCiD, Professor Brian RandellORCiD, Professor Maciej KoutnyORCiD
Occurrence Nets (ON) are directed acyclic graphs that represent causality and concurrency information concerning a single execution of a system. Structured Occurrence Nets (SONs) extend ONs by adding new relationships, which provide a means of recording the activities of multiple interacting, and evolving, systems. Although the initial motivations for their development focused on the analysis of system failures, their structure makes them a natural candidate as a model for expressing the execution traces of interacting systems. These traces can then be exhibited as the provenance of the data produced by the systems under observation. In this paper we present a number of patterns that make use of SONs to provide principled modelling of provenance. We discuss some of the benefits of this modelling approach, and briefly compare it with others that have been proposed recently. SON-based modelling of provenance combines simplicity with expressiveness, leading to provenance graphs that capture multiple levels of abstraction in the description of a process execution, are easy to understand and can be analysed using the partial order techniques underpinning their behavioural semantics.
Author(s): Randell B; Koutny M; Missier P
Publication type: Report
Publication status: Published
Series Title: School of Computing Science Technical Report Series
Year: 2012
Pages: 17
Print publication date: 01/04/2012
Source Publication Date: April 2012
Report Number: 1326
Institution: School of Computing Science, University of Newcastle upon Tyne
Place Published: Newcastle upon Tyne
URL: http://www.cs.ncl.ac.uk/publications/trs/papers/1326.pdf
