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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/bfb000...
Part of book or chapter of book . 1997 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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On the fault tolerance of fat-trees

Authors: Sotiris E. Nikoletseas; Grammati E. Pantziou; Panagiotis Psycharis; Paul G. Spirakis;

On the fault tolerance of fat-trees

Abstract

We examine the reliability properties of ideal fat-trees, a general model used to capture both distance and bandwidth constraints of various classes of fat-tree networks. We allow the edges and the vertices of the network to fail independently with probability f, and show that: (1) Any fat-tree G can always be partitioned into an upper (GH) and a lower (GL) part. After the faults, the remaining part of GL guarantees that a linear fraction of the leaves of the fat-tree still connect to the upper part, with high probability. (2) GH is robust, in the sense that, after the faults, at least half of the edge-disjoint paths between any set of “leaves” of GH are preserved with probability tending to 1, even in the case of failure probabilities as high as f < 0.25. The robust properties of GH hold for the case that fat-nodes do not have internal edges and also for the case that fat-nodes are random regular graphs. (3) For the special case of a pruned butterfly, there is a critical probability pc for the existence of a linear sized component surviving the failures and including a large fraction of terminal nodes. We show that pc ≥ 0.42.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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