On the stochastic structure of parallelism and synchronization models for distributed algorithms

Author:

Plateau Brigitte1

Affiliation:

1. ISEM, Université de Paris-Sud, 91405 Orsay, FRANCE

Abstract

In this paper a new technique to handle complex Markov models is presented. This method is based on a description using stochastic automatas and is dedicated to distributed algorithms modelling. One example of a mutual exclusion algorithm in a distributed environment is extensively analysed. The mathematical analysis is based on tensor algebra for matrices.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Software

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