NDLI: The Strong Diagnosability of Regular Networks and Product Networks under the PMC Model

Content Provider	IEEE Xplore Digital Library
Author	Sun-Yuan Hsieh Tsung-Yen Chuang
Copyright Year	1990
Abstract	Strong diagnosability is a more precise concept for measuring the reliability of multiprocessor systems than the traditional global measurement. In this paper, we study the strong diagnosability of multiprocessor systems under the PMC model. Our main objective is to determinate the strong diagnosability of two wide classes of networks, namely regular networks and product networks, subject to certain conditions. Based on our results, we demonstrate the strong diagnosability of several well-known networks, including variants of hypercubes and many others.
Sponsorship	IEEE Computer Society
Starting Page	367
Ending Page	378
Page Count	12
File Size	1899184
File Format	PDF
ISSN	10459219
Volume Number	20
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiprocessing systems Testing Fault diagnosis Hypercubes Multiprocessor interconnection networks Performance evaluation Computer Society Computer network reliability Graph theory Very large scale integration Network problems Topology Diagnostics Hardware reliability Reliability and Fault-Tolerance
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computational Theory and Mathematics Hardware and Architecture

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