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The Journal of Logic and Algebraic Programming
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The Journal of Logic and Algebraic Programming
Article . 2007
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A Theory for Observational Fault Tolerance

A theory for observational fault tolerance
Authors: Adrian Francalanza; Matthew Hennessy;

A Theory for Observational Fault Tolerance

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Countries
Malta, Ireland
Related Organizations
Keywords

Upto techniques, Logic, Fault-tolerant computing, distributed calculi, Reliability, testing and fault tolerance of networks and computer systems, Theoretical Computer Science, labelled transition systems, upto techniques, Models and methods for concurrent and distributed computing (process algebras, bisimulation, transition nets, etc.), Bisimulation, Bisimulations, bisimulations, Obervational equivalences, Labelled transition systems, obervational equivalences, Distributed calculi, Fault tolerance, 004, Computational Theory and Mathematics, Distributed operating systems (Computers), Computer Science, fault tolerance, fault tolerence, Software

  • BIP!
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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).
    10
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
10
Top 10%
Top 10%
Average
Green
hybrid