Author(s)

Alfred W.S. Loo, Chris Bloor and David Grey

Abstract

This paper presents the complexity analysis and empirical results of a distributed selection algorithm. The algorithm uses the statistical properties of the data file. The objective of the algorithm is to minimize the number of communication messages required for the whole selection process. The algorithm is designed to select they th smallest key from a very large file which is physically distributed over many sites (stations). The size of the file is so large that it is not feasible or efficient to transfer all data to a single node as no node has sufficient memory space for internal sorting. The selection work will be shared by all sites involved and the l

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