Tolerating a faulty edge in a multi-dimensional mesh

The author examines the problem of tolerating faulty edges in the multidimensional mesh architecture. This problem can be briefly defined as follows. Given a mesh M, find a mesh G which satisfies the following conditions: (1) G and M have the same number of nodes, (2) for any subset of k edges in G,...

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Published inProceedings of Phoenix Conference on Computers and Communications pp. 9 - 15
Main Author Farrag, A.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1993
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Abstract The author examines the problem of tolerating faulty edges in the multidimensional mesh architecture. This problem can be briefly defined as follows. Given a mesh M, find a mesh G which satisfies the following conditions: (1) G and M have the same number of nodes, (2) for any subset of k edges in G, there is a submesh in G isomorphic to M which excludes these k edges, and (3) G has the least possible number of edges. The mesh G which satisfies these conditions is called a symmetrically optimal k-edge-fault-tolerant (k-EFT) extension of M. It is shown that, even when k=1, finding such a mesh G is a very difficult problem. A necessary and sufficient condition is developed for characterizing the class of symmetrically optimal 1-EFT extensions of any given mesh. Two new methods are proposed based on this characterization for finding symmetrically optimal, or symmetrically near-optimal, 1-EFT extensions. The first method finds an optimal solution, but is useful only for meshes whose number of dimensions is relatively small. The second method finds only a near optimal solution by decomposing a mesh with a large number of dimensions into several meshes with a smaller number of dimensions that can be solved by the first method.< >
AbstractList The author examines the problem of tolerating faulty edges in the multidimensional mesh architecture. This problem can be briefly defined as follows. Given a mesh M, find a mesh G which satisfies the following conditions: (1) G and M have the same number of nodes, (2) for any subset of k edges in G, there is a submesh in G isomorphic to M which excludes these k edges, and (3) G has the least possible number of edges. The mesh G which satisfies these conditions is called a symmetrically optimal k-edge-fault-tolerant (k-EFT) extension of M. It is shown that, even when k=1, finding such a mesh G is a very difficult problem. A necessary and sufficient condition is developed for characterizing the class of symmetrically optimal 1-EFT extensions of any given mesh. Two new methods are proposed based on this characterization for finding symmetrically optimal, or symmetrically near-optimal, 1-EFT extensions. The first method finds an optimal solution, but is useful only for meshes whose number of dimensions is relatively small. The second method finds only a near optimal solution by decomposing a mesh with a large number of dimensions into several meshes with a smaller number of dimensions that can be solved by the first method.< >
Author Farrag, A.A.
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Snippet The author examines the problem of tolerating faulty edges in the multidimensional mesh architecture. This problem can be briefly defined as follows. Given a...
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StartPage 9
SubjectTerms Concurrent computing
Fault tolerance
Fault tolerant systems
Hypercubes
Mathematics
Parallel architectures
Sufficient conditions
Title Tolerating a faulty edge in a multi-dimensional mesh
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