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Journal article

Causal computational complexity of distributed processes

Abstract:
This article studies the complexity of π-calculus processes with respect to the quantity of transitions caused by an incoming message. First, we propose a typing system for integrating Bellantoni and Cook's characterisation of polytime computable functions into Deng and Sangiorgi's typing system for termination. We then define computational complexity of distributed messages based on Degano and Priami's causal semantics, which identifies the dependency between interleaved transitions. Next, we apply a necessary syntactic flow analysis to typable processes to ensure a computational bound on the number of distributed messages. We prove that our analysis is decidable; sound in the sense that it guarantees that the total number of messages causally dependent of an input request received from the outside is bounded by a polynomial of the content of this request; and complete, meaning that each polynomial recursive function can be computed by a typable process.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.ic.2022.104998

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Wolfson College
Role:
Author
ORCID:
0000-0002-3925-8557


Publisher:
Elsevier
Journal:
Information and Computation More from this journal
Volume:
290
Article number:
104998
Publication date:
2022-12-07
Acceptance date:
2022-11-27
DOI:
EISSN:
1090-2651
ISSN:
0890-5401


Language:
English
Keywords:
Pubs id:
1310669
Local pid:
pubs:1310669
Deposit date:
2022-11-29

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