Abstract
This paper discusses the problem of assigning N streams of requests (clients) to M related server machines with the objective to minimize the sum of worst-case processing times. The completion time of a batch of requests is measured as a sum of weights of the subset of clients which share a single machine. Such problem can be seen as minimizing the sum of total weights of blocks of M-partition, each multiplied by the cardinality of a block. We prove that this problem can be solved in polynomial time for any fixed M and present an efficient backward induction algorithm. © 2013 The Author(s).
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Drwal, M. (2014). Algorithm for quadratic semi-assignment problem with partition size coefficients. Optimization Letters, 8(3), 1183–1190. https://doi.org/10.1007/s11590-013-0636-3
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