Multi-scale self-simulation: A technique reconfiguring arrays with faults

Richard Cole, Bruce Maggs, Ramesh Sitaraman

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper we study the ability of array-based networks to tolerate faults. We show that an N x N two- dimensional array can sustain N1-ϵ worst-case faults, for any fixed e > 0, and still emulate a fully functioning N x N array with only constant slowdown. We also observe that even if every node fails with some fixed probability, p, with high probability the array can still emulate a fully functioning array with constant slowdown. Previously, no connected bounded-degree network was known to be able to tolerate constant- probability node failures without suffering more than a constant-factor loss in performance. Finally, we observe that if faulty nodes are allowed to communicate, but not compute, then an N-node one-dimensional array can tolerate log°W N worst-case faults and still emulate a fault-free array with constant slowdown, and this bound is tight.

Original languageEnglish (US)
Title of host publicationProceedings of the 25th Annual ACM Symposium on Theory of Computing, STOC 1993
PublisherAssociation for Computing Machinery
Number of pages12
ISBN (Electronic)0897915917
StatePublished - Jun 1 1993
Event25th Annual ACM Symposium on Theory of Computing, STOC 1993 - San Diego, United States
Duration: May 16 1993May 18 1993

Publication series

NameProceedings of the Annual ACM Symposium on Theory of Computing
VolumePart F129585
ISSN (Print)0737-8017


Conference25th Annual ACM Symposium on Theory of Computing, STOC 1993
Country/TerritoryUnited States
CitySan Diego

ASJC Scopus subject areas

  • Software

Cite this