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Article . 2010 . Peer-reviewed
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Article . 2010
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Independent spanning trees on folded hyper‐stars

Independent spanning trees on folded hyper-stars
Authors: Jinn-Shyong Yang; Jou-Ming Chang;

Independent spanning trees on folded hyper‐stars

Abstract

AbstractFault‐tolerant broadcasting and secure message distribution are important issues for numerous applications in networks. It is a common idea to design multiple independent spanning trees (ISTs) as a broadcasting scheme or a distribution protocol for receiving high levels of fault‐tolerance and security. Recently, hyper‐stars were introduced as a competitive model of interconnection network for both hypercubes and star graphs. The class of folded hyper‐stars is a strengthened variation of hyper‐stars obtained by adding additional links to connect complemented nodes. Both hyper‐stars and folded hyper‐stars have been shown to have lower network cost (measured by the product of degree and diameter) than hypercubes, folded hypercubes, and other variants. In this article, we propose an algorithm to construct k + 1 ISTs on a regular folded hyper‐star FHS (2k,k), where the number of ISTs matches the connectivity of FHS(2k,k). In particular, for k > 4, the constructed k ISTs have height 2 k − 2, and the other one has height k + 1. © 2010 Wiley Periodicals, Inc. NETWORKS, 2010

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Keywords

Network design and communication in computer systems, fault-tolerant broadcasting, Communication networks in operations research, independent spanning trees, secure message distribution, Trees, folded hyper-stars, interconnection networks

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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!
10
Average
Average
Average
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