Timed runtime monitoring for multiparty conversations

Timed runtime monitoring for multiparty conversations We propose a dynamic verification framework for protocols in real-time distributed systems. The framework is based on Scribble, a tool-chain for design and verification of choreographies based on multiparty session types, which we have developed with our industrial partners. Drawing from recent work on multiparty session types for real-time interactions, we extend Scribble with clocks, resets, and clock predicates in order to constrain the times in which interactions occur. We present a timed API for Python to program distributed implementations of Scribble specifications. A dynamic verification framework ensures the safe execution of applications written with our timed API: we have implemented dedicated runtime monitors that check that each interaction occurs at a correct timing with respect to the corresponding Scribble specification. To demonstrate the practicality of the proposed framework, we express and verify four categories of widely used temporal patterns from use cases in literature. We analyse the performance of our implementation via benchmarking and show negligible overhead. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Formal Aspects of Computing Springer Journals

Timed runtime monitoring for multiparty conversations

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Publisher
Springer Journals
Copyright
Copyright © 2017 by The Author(s)
Subject
Computer Science; Math Applications in Computer Science; Theory of Computation; Computational Mathematics and Numerical Analysis
ISSN
0934-5043
eISSN
1433-299X
D.O.I.
10.1007/s00165-017-0420-8
Publisher site
See Article on Publisher Site

Abstract

We propose a dynamic verification framework for protocols in real-time distributed systems. The framework is based on Scribble, a tool-chain for design and verification of choreographies based on multiparty session types, which we have developed with our industrial partners. Drawing from recent work on multiparty session types for real-time interactions, we extend Scribble with clocks, resets, and clock predicates in order to constrain the times in which interactions occur. We present a timed API for Python to program distributed implementations of Scribble specifications. A dynamic verification framework ensures the safe execution of applications written with our timed API: we have implemented dedicated runtime monitors that check that each interaction occurs at a correct timing with respect to the corresponding Scribble specification. To demonstrate the practicality of the proposed framework, we express and verify four categories of widely used temporal patterns from use cases in literature. We analyse the performance of our implementation via benchmarking and show negligible overhead.

Journal

Formal Aspects of ComputingSpringer Journals

Published: Feb 22, 2017

References

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