Self-healing in binomial graph networks

Thara Angskun, George Bosilca, Jack Dongarra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The number of processors embedded in high performance computing platforms is growing daily to solve larger and more complex problems. However, as the number of components increases, so does the probability of failure. The logical network topologies must also support the fault-tolerant capability in such dynamic environments. This paper presents a self-healing mechanism to improve the fault-tolerant capability of a Binomial graph (BMG) network. The self-healing mechanism protects BMG from network bisection and helps maintain optimal routing even in failure circumstances. The experimental results show that self-healing with an adaptive method significantly reduces the overhead from reconstructing the networks.

Original languageEnglish
Title of host publicationOn the Move to Meaningful Internet Systems 2007
Subtitle of host publicationOTM 2007 Workshops - OTM Confederated International Workshops and Posters AWeSOMe, CAMS, OTM Academy Doctoral Consortium, MONET, OnToContent, ORM, PerS
PublisherSpringer Verlag
Pages1032-1041
Number of pages10
EditionPART 2
ISBN (Print)9783540768890
DOIs
StatePublished - 2007
EventOTM Confederated International Workshops and Posters AWeSOMe, CAMS, OTM Academy Doctoral Consortium, MONET, OnToContent, ORM, PerSys, PPN, RDDS, SSWS, and SWWS 2007 - Vilamoura, Portugal
Duration: Nov 25 2007Nov 30 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4806 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceOTM Confederated International Workshops and Posters AWeSOMe, CAMS, OTM Academy Doctoral Consortium, MONET, OnToContent, ORM, PerSys, PPN, RDDS, SSWS, and SWWS 2007
Country/TerritoryPortugal
CityVilamoura
Period11/25/0711/30/07

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