DocumentCode :
1738864
Title :
High level net models: a tool for permutation mapping and fault detection in multistage interconnection network
Author :
Chaki, Nabendu ; Bhattacharya, Surya
Author_Institution :
Dept. of Comput. Sci. & Eng., Calcutta Univ., India
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
248
Abstract :
This paper aims at structurising the detection of different types of stuck-at faults for a wide range of multistage interconnection networks (MINs). The results reported so far in this respect have been mainly based on direct combinatorial analysis of the concerned networks with very little consideration towards the modelling aspects. Graphical representation coupled with well-defined semantics allowing formal analysis has already established the Petri net as an effective tool for modelling dynamic systems. However, the existing variants of high level nets had certain limitations in modelling the dynamic behaviour of mapping a permutation through the MIN and further analysis of the same. This has inspired the authors to propose a couple of new high level net models, called MP-net and S-net in their earlier works. The S-net model uses tokens to hold and propagate information apart from controlling the firing of events. It uses two different types of places and transitions each as has been defied subsequently. In this paper, we have concentrated on the detection of faults in MINs using this S-net model
Keywords :
Petri nets; fault diagnosis; multistage interconnection networks; MIN; Petri net; S-net; dynamic systems; fault detection; formal analysis; graphical representation; high level net models; multistage interconnection network; permutation mapping; stuck-at faults; tokens; well-defined semantics; Computer science; Decision support systems; Fault detection; Intelligent networks; Multiprocessor interconnection networks; Performance analysis; Petri nets; Stochastic processes; Stochastic systems; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2000. Proceedings
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6355-8
Type :
conf
DOI :
10.1109/TENCON.2000.888742
Filename :
888742
Link To Document :
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