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https://doi.org/10.1109/acsd.2...
Article . 2012 . Peer-reviewed
License: STM Policy #29
Data sources: Crossref
DBLP
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Hasse Diagrams of Combined Traces

Authors: Lukasz Mikulski; Maciej Koutny;

Hasse Diagrams of Combined Traces

Abstract

One of the standard ways to represent concurrent behaviours is to use concepts originating from language theory, such as traces and comtraces. Traces can express notions such as concurrency and causality, whereas comtraces can also capture weak causality and simultaneity. This paper is concerned with the development of efficient data structures and algorithms for manipulating comtraces. We introduce Hasse diagrams for comtraces which are a generalisation of Hasse diagrams defined for partial orders and traces, and develop an efficient algorithm for deriving them from language theoretic representations of comtraces. We also explain how the new representation of comtraces can be used to implement efficiently some basic operations on comtraces.

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United Kingdom
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average