DocumentCode :
2297051
Title :
Swarm Synthesis of Convergence for Symmetric Protocols
Author :
Ebnenasir, Ali ; Farahat, Aly
Author_Institution :
Dept. of Comput. Sci., Michigan Technol. Univ., Houghton, MI, USA
fYear :
2012
fDate :
8-11 May 2012
Firstpage :
13
Lastpage :
24
Abstract :
This paper presents a novel non-deterministic method for algorithmic addition of convergence to non-stabilizing symmetric protocols. The proposed method exploits randomization and parallelization in order to expand the scope of the search for self-stabilizing versions of non-stabilizing protocols. Such a non-deterministic method enables an embarrassingly parallel framework that exploits the computational resources of computer clusters for automated design of self-stabilizing protocols. We have implemented our approach in a software tool and have synthesized several new self-stabilizing solutions for well-known protocols in the literature (e.g., maximal matching, graph coloring and leader election on a ring). Our case studies demonstrate that the proposed method is able to automatically generate self-stabilizing versions of non-stabilizing protocols in cases where existing automated methods fail. As a result, the proposed approach increases the likelihood of success in synthesizing the self-stabilizing versions of non-stabilizing protocols.
Keywords :
fault tolerant computing; parallel processing; protocols; software tools; computer cluster computational resources; convergence algorithmic addition; convergence swarm synthesis; nondeterministic method; nonstabilizing symmetric protocols; parallel framework; parallelization method; randomization method; selfstabilizing protocols; software tool; Color; Convergence; Educational institutions; Nominations and elections; Protocols; System recovery; Transient analysis; Automated Design; Convergence; Self-Stabilization; Symmetric Protocols;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable Computing Conference (EDCC), 2012 Ninth European
Conference_Location :
Sibiu
Print_ISBN :
978-1-4673-0938-7
Type :
conf
DOI :
10.1109/EDCC.2012.22
Filename :
6214757
Link To Document :
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