Reconfiguration of Rings and Meshes in Faulty Hypercubes

Abstract

In this paper we present schemes for reconfiguration of embedded task graphs in hypercubes. Previous results, which use either fault-tolerant embedding or an automorphism approach, can be expensive in terms of either the required number of spare nodes or reconfiguration time. Using the free dimension concept, we combine the above two approaches in our schemes which can tolerate about n faulty nodes under the worst case while keeping task migration time small. With expansion-2 initial embedding, three distributed reconfiguration schemes are presented in this paper. The first scheme, applied to chains and rings, can tolerate any ƒ ≤ n − 2 faulty nodes in an n-dimensional hypercube. The second and third schemes are applied to meshes or tori. For a mesh or torus of size 2^m₁ ∗ ··· ∗ 2^m_d, the second scheme can tolerate any ƒ ≤ m_i − 1 faulty nodes, where m_i is the largest direction of the mesh and n = m₁ + ··· + m_d + 1. By embedding two copies of meshes or tori in cube, the third scheme can tolerate any ƒ ≤ n − 1 faulty nodes with the dilation of embedding after reconfiguration degraded to 2. The third scheme is quite general and can be applied to any task graph.