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On the Asynchronous Nature of the Asynchronous π-Calculus

Authors: Beauxis, Romain; Palamidessi, Catuscia; Valencia, Frank;

On the Asynchronous Nature of the Asynchronous π-Calculus

Abstract

We address the question of what kind of asynchronous com- munication is exactly modeled by the asynchronous pi-calculus (pi_a). To this purpose we define a calculus pi_B where channels are represented explicitly as special buffer processes. The base language for pi_B is the (synchronous) pi-calculus, except that ordinary processes communicate only via buffers. Then we compare this calculus with pi_a. It turns out that there is a strong correspondence between pi_a and pi_B in the case that buffers are bags: we can indeed encode each pi_a process into a strongly asynchronous bisimilar pi_B process, and each pi_B process into a weakly asynchronous bisimilar pi_a process. In case the buffers are queues or stacks, on the contrary, the correspondence does not hold. We show indeed that it is not possible to translate a stack or a queue into a weakly asynchronous bisimilar pi_a process. Actually, for stacks we show an even stronger result, namely that they cannot be encoded into weakly (asynchronous) bisimilar processes in a pi-calculus without mixed choice.

Country
France
Keywords

[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO], [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO], 004

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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!
13
Average
Top 10%
Average
Green
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