Titlebook: Stochastic Network Optimization with Application to Communication and Queueing Systems; Michael J. Neely Book 2010 Springer Nature Switzer

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2690-4306 ing theory for arbitrary sample paths - Approximate and randomized scheduling theory - Optimization of renewal systems and Markov decision systems Detailed exam978-3-031-79994-5978-3-031-79995-2Series ISSN 2690-4306 Series E-ISSN 2690-4314

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Michael J. Neelyhilosophy and represents a central aspect of Kantian-inspired philosophy in respect to Leibnizian metaphysics. The present work therefore departs from the hypothesis that the essential philosophical importance 978-94-007-3438-8978-94-007-0065-9Series ISSN 1571-4764 Series E-ISSN 2542-9868

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Michael J. Neelyhilosophy and represents a central aspect of Kantian-inspired philosophy in respect to Leibnizian metaphysics. The present work therefore departs from the hypothesis that the essential philosophical importance 978-94-007-3438-8978-94-007-0065-9Series ISSN 1571-4764 Series E-ISSN 2542-9868

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Dynamic Scheduling Example,advantage is that the drift-minimizing approach uses both current channel states and current queue backlogs to stabilize the system, and it does not require a-priori knowledge of traffic rates or channel probabilities. This Lyapunov drift technique is extended at the end of the chapter to allow for joint stability and average power minimization.

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Optimizing Functions of Time Averages,ined over an appropriate region of ℝ. (such as the non-negative orthant when x.(.) attributes are non-negative, or all ℝ. otherwise). A more general problem, without the entrywise non-decreasing assumption, is considered in Section 5.4.