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Computing the probability of hash table/urn overflow
Authors:MV Ramakrishna
Institution:Computer Science Department , Michigan State University , East Lansing, 48824-1027, Michigan
Abstract:We analyze the probability of a random distribution of n balls into m urns of size b resulting in no overflows. This solves the computational problem associated with a classical combinatorial extreme-value distribution. The problem arose during the analysis of a technique, called perfect hashing, for organizing data in computer files. The results and techniques presented can be used to solve several problems in the analysis of hashing techniques
Keywords:balls and urns model  combinatorial extreme- value distributions  classical occupancy problem  perfect hashing
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