Kaikki kirjat 25 % alennuksella koodilla: BOOKS

  • check Yli 10 miljoonaa kirjaa
  • check Uutuuksia joka päivä
  • check Yli 1 miljoona asiakasta luottaa meihin
  • check Hyvät hinnat ja alennukset
  • check Toimitus koko Eurooppaan

Stochastic Network Optimization with Application to Communication and Queueing Systems - Michael Neely

englanti
2010-09-21
37,11 € 49,48 €

-25% koodilla BOOKS

Toimittajalla varastossa

Toimitus 12-18 arkipäivässä

30 päivän palautusoikeus

This text presents a modern theory of analysis, control, and optimization for dynamic networks. Mathematical techniques of Lyapunov drift and Lyapunov optimization are developed and shown to enable constrained optimization of time averages in general stochastic systems. The focus is on communication and queueing systems, including wireless networks with time-varying channels, mobility, and randomly arriving ... Täydellinen kuvaus

Saatat myös pitää

Kuvaus

This text presents a modern theory of analysis, control, and optimization for dynamic networks. Mathematical techniques of Lyapunov drift and Lyapunov optimization are developed and shown to enable constrained optimization of time averages in general stochastic systems. The focus is on communication and queueing systems, including wireless networks with time-varying channels, mobility, and randomly arriving traffic. A simple drift-plus-penalty framework is used to optimize time averages such as throughput, throughput-utility, power, and distortion. Explicit performance-delay tradeoffs are provided to illustrate the cost of approaching optimality. This theory is also applicable to problems in operations research and economics, where energy-efficient and profit-maximizing decisions must be made without knowing the future. Topics in the text include the following: - Queue stability theory - Backpressure, max-weight, and virtual queue methods - Primal-dual methods for non-convex stochasticutility maximization - Universal scheduling theory for arbitrary sample paths - Approximate and randomized scheduling theory - Optimization of renewal systems and Markov decision systems Detailed examples and numerous problem set questions are provided to reinforce the main concepts. Table of Contents: Introduction / Introduction to Queues / Dynamic Scheduling Example / Optimizing Time Averages / Optimizing Functions of Time Averages / Approximate Scheduling / Optimization of Renewal Systems / Conclusions

Lisätietoja

Kirjoittaja Michael Neely
Julkaisija Springer International Publishing
Series Synthesis Lectures on Learning, Networks, and Algorithms
Julkaisuvuosi 2010
Kannen tyyppi Pehmeäkantinen
EAN 9783031799945
Kirjoita oma arvostelusi
Arvostelet: Stochastic Network Optimization with Application to Communication and Queueing Systems
Arvostelusi:

Goodreads-arvostelut

37,11 € 49,48 €