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Fluid queue / Poisson process / Queueing model / Probability space / G–network / M/G/1 queue / Statistics / Stochastic processes / Queueing theory


On the Power of (even a little) Centralization in Distributed Processing The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters.
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Document Date: 2014-05-20 18:09:37


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New York / San Jose / /

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Siebel / Xerox / Sample Paths / /

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United States / /

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Each station / /

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energy costs / large systems / higher infrastructure / energy consumption / fluid solution / communication infrastructure / distributed processing / multiclass queuing networks / frequent communications / task processing / fluid solutions / finite-dimensional symmetric dynamical systems / fact solutions / deterministic fluid solutions / distributed and centralized processing / divisible computing resources / valid solutions / exponential server / /

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National Science Foundation / MIT / US Federal Reserve / MIT Faculty / Organization of the Paper Section / Association for Computing Machinery / /

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John N. Tsitsiklis / Kuang Xu / /

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ABSTRACT General / system designer / fluid model / with some intuitive justification / Version Author / /

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Arzela-Ascoli / /

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California / New York / /

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Server Farm / http / simulation / /

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