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Please use this identifier to cite or link to this item: http://hdl.handle.net/1903/4999

Title: Stochastic Convexity of Sums of I.I.D. Non-Negative Random Variables with Applications
Authors: Makowski, Armand M.
Philips, T.K.
Department/Program: ISR
Type: Technical Report
Keywords: stochastic convexity, i.i.d. non-negative random variables, forward recurrence times, multi-processor systems, fork-join, random routing, Communication , Signal Processing Systems
Issue Date: 1990
Series/Report no.: ISR; TR 1990-51
Abstract: We present some monotonicity and convexity properties for the sequence of partial sums associated with a sequence of non- negative independent identically distributed random variables. These results are applied to a system of parallel queues with Bernoulli routing, and are useful in establishing a performance comparison between two scheduling strategies in multi-processor systems.
URI: http://hdl.handle.net/1903/4999
Appears in Collections:Institute for Systems Research Technical Reports

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