Abstract
We give efficient algorithms for distributed computation on anonymous, labeled, asynchronous hypercubes with possible faulty components (i.e. processors and links). The processors are deterministic and execute identical protocols given identical data. Initially, they know only the size of the network (in this instance, a power of 2) and that they are inter-connected in a hypercube network. Faults may occur only before the start of the computation (and that despite this the hypercube remains a connected network). However the processors do not know where these faults are located. As a measure of complexity we use the total number of bits transmitted during the execution of the algorithm and we concentrate on giving algorithms that will minimize this number of bits. The main result of this paper is an algorithm for computing boolean functions on anonymous hypercubes with at most γ faulty components, γ≥1, with bit complexity O(Nδ n (γ) 2λ2 log log N), where γ is the number of faulty components, of which λ is the number of faulty links, and δ n (γ) is the diameter of the hypercube.
Research supported in part by National Science and Engineering Research Council grants.
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© 1992 Springer-Verlag Berlin Heidelberg
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Kranakis, E., Santoro, N. (1992). Distributed computing on anonymous hypercubes with faulty components. In: Segall, A., Zaks, S. (eds) Distributed Algorithms. WDAG 1992. Lecture Notes in Computer Science, vol 647. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56188-9_17
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DOI: https://doi.org/10.1007/3-540-56188-9_17
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