Skip to main content

Research Repository

Advanced Search

A general algorithm for detecting faults under the comparison diagnosis model

Stewart, I.A.

A general algorithm for detecting faults under the comparison diagnosis model Thumbnail


Authors



Abstract

We develop a widely applicable algorithm to solve the fault diagnosis problem in certain distributed-memory multiprocessor systems in which there are a limited number of faulty processors. In particular, we prove that if the underlying graph G = (V,E) forming the interconnection network has connectivity no less than its diagnosability δ and can be partitioned into enough connected components of large enough size then given a syndrome of test results under the comparison diagnosis model resulting from some set of faulty nodes of size at most δ, we can find the actual set of faulty nodes with time complexity O(ΔN), where Δ is the maximal degree of any node of the graph and N is the number of nodes.

Citation

Stewart, I. (2010). A general algorithm for detecting faults under the comparison diagnosis model. In 2010 IEEE International Symposium on Parallel and Distributed Processing IPDPS, 19-23 April 2010, Atlanta GA, ; proceedings (1-9). https://doi.org/10.1109/ipdps.2010.5470369

Conference Name 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2010)
Conference Location Atlanta, Georgia, U.S.A.
Start Date Apr 19, 2010
End Date Apr 23, 2010
Online Publication Date May 24, 2010
Publication Date Apr 1, 2010
Deposit Date Dec 18, 2009
Publicly Available Date Jun 29, 2010
Pages 1-9
Series ISSN 1530-2075
Book Title 2010 IEEE International Symposium on Parallel and Distributed Processing IPDPS, 19-23 April 2010, Atlanta GA, ; proceedings.
DOI https://doi.org/10.1109/ipdps.2010.5470369
Keywords Interconnection networks, Fault diagnosis, Comparison diagnosis model.

Files

Published Conference Proceeding (161 Kb)
PDF

Copyright Statement
© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this (c) 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.





You might also like



Downloadable Citations