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https://doi.org/10.1007/115624...
Part of book or chapter of book . 2005 . Peer-reviewed
License: Springer TDM
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Conference object . 2018
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Amortised Bisimulations

Authors: Astrid Kiehn; S. Arun-Kumar;

Amortised Bisimulations

Abstract

We introduce a quantitative concept for bisimulations by integrating the notion of amortisation (cf. [3]). This allows us to make behavioural comparisons between nondeterministic systems that are inherently non-terminating and to analyse the relative long-term costs of deploying them. To this end, we conservatively extend CCS to include a new set of cost-based actions and define a cost-based quantitative relation called amortised bisimulation. We demonstrate the applicability of our approach by two case studies. In both cases the cost of additional administration is shown to amortise. We furthermore show that the amortised preorder for speed introduced in [6] is naturally expressible in our setting.

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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!
14
Average
Top 10%
Average
bronze