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Distributed Computing
Article . 1988 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Article . 1988
Data sources: zbMATH Open
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Conference object
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DBLP
Article . 1988
Data sources: DBLP
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Appraising fairness in languages for distributed programming

Authors: K.R. Apt (Krzysztof); N. Francez; S. Katz;

Appraising fairness in languages for distributed programming

Abstract

The relations among various languages and models for distributed computation and various possible definitions of fairness are considered. Natural semantic criteria are presented which an acceptable notion of fairness should satisfy. These are then used to demonstrate differences among the basic models, the added power of the fairness notion, and the sensitivity of the fairness notion to irrelevant semantic interleavings of independent operations. These results are used to show that from the considerable variety of commonly used possibilities, only strong process fairness is appropriate for CSP if these criteria are adopted. We also show that under these criteria, none of the commonly used notions of fairness are fully acceptable for a model with an n-way synchronization mechanism. These notion of fairness most often mentioned for Ada is shown to be fully acceptable. For a model with nonblocking `send' operations, some variants of common fairness definitions are appraised, and two are shown to satisfy the suggested criteria.

Country
Netherlands
Keywords

Specification and verification (program logics, model checking, etc.), CSP, semantic criteria, distributed computation, fairness, communicating sequential processes, synchronization, Theory of operating systems, partial order semantics

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    selected citations
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    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).
    103
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    Top 10%
    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
103
Top 10%
Top 1%
Top 10%
Green
bronze