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We analyze the performance of the randomized multiple- choice allocation process in the fixed density model. We show that the allocation process leads to O(log log n) expected maximal bin load when Theta(n) balls are allocated into n bins, where each ball is inserted into the less loaded bin among two bins chosen independently and according to two fixed but possibly different bounded probability densities...
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