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

Published: 01 August 1985 Publication History

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.

References

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cover image ACM Conferences
SIGMETRICS '85: Proceedings of the 1985 ACM SIGMETRICS conference on Measurement and modeling of computer systems
August 1985
203 pages
ISBN:0897911695
DOI:10.1145/317795
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 August 1985

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  • (2022)Utilising Kronecker Algebra to Detect Unexpected Behaviour in Distributed Systems2022 IEEE 25th International Symposium On Real-Time Distributed Computing (ISORC)10.1109/ISORC52572.2022.9812832(1-8)Online publication date: 17-May-2022
  • (2021)Resource System with Losses in a Random EnvironmentMathematics10.3390/math92126859:21(2685)Online publication date: 22-Oct-2021
  • (2021)Reasoning About Proportional LumpabilityQuantitative Evaluation of Systems10.1007/978-3-030-85172-9_20(372-390)Online publication date: 23-Aug-2021
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  • (2016)Kronecker Algebra for Static Analysis of Barriers in AdaProceedings of the 21st Ada-Europe International Conference on Reliable Software Technologies --- Ada-Europe 2016 - Volume 969510.1007/978-3-319-39083-3_10(145-159)Online publication date: 13-Jun-2016
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