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Fault-Tolerant Broadcasting on the Arrangement Graph

Fault-tolerant broadcasting on the arrangement graph
Authors: Leqiang Bai; Hiroyuki Ebara; Hideo Nakando; Hajime Maeda;

Fault-Tolerant Broadcasting on the Arrangement Graph

Abstract

Summary: This paper proposes a distributed fault-tolerant algorithm for one-to-all broadcasting in the one-port communication model on the arrangement graphs. Exploiting the hierarchical properties of the arrangement graph to constitute different-sized broadcasting trees for different-sized subgraphs, we propose a distributed algorithm with optimal time complexity and without message redundancy for one-to-all broadcasting in the one-port communication model for the fault-free arrangement graph. According to the property that there is a family of \(k(n-k)\) node-disjoint paths between any two nodes, we develop a fast fault-tolerant procedure capable of sending a message from a node to its adjacent nodes on the \((n,k)\)-arrangement graph with less than \(k(n-k)\) faulty edges. Combining the fault-tolerant procedure and the optimal broadcasting algorithm, a fault-tolerant broadcasting is achieved on the arrangement graph. It is shown that a message can be broadcast to all the other \((n!/(n-k)!)-1\) processors in \(O(k\lg n)\) steps if no faults exist on the \((n,k)\)-arrangement graph, and in \(O(k^2\lg n+k\lg^2n))\) steps if the number of faulty edges is less than \(k(n-k)\).

Keywords

Network design and communication in computer systems, Distributed algorithms, distributed fault-tolerant algorithm

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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!
6
Average
Top 10%
Average
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