A compact, highly-motivated introduction to some of the stochastic models found useful in the study of communications networks.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Frank Kelly is Professor of the Mathematics of Systems at the University of Cambridge. His main research interests are in random processes, networks and optimization. He is especially interested in applications to the design and control of networks and to the understanding of self-regulation in large-scale systems.
Inhaltsangabe
Overview Part I: 1. Markov chains 2. Queueing networks 3. Loss networks Part II: 4. Decentralized optimization 5. Random access networks 6. Effective bandwidth Part III: 7. Internet congestion control 8. Flow level internet models Appendix A. Continuous time Markov processes Appendix B. Little's law Appendix C. Lagrange multipliers Appendix D. Foster-Lyapunov criteria References Index.
Overview Part I: 1. Markov chains 2. Queueing networks 3. Loss networks Part II: 4. Decentralized optimization 5. Random access networks 6. Effective bandwidth Part III: 7. Internet congestion control 8. Flow level internet models Appendix A. Continuous time Markov processes Appendix B. Little's law Appendix C. Lagrange multipliers Appendix D. Foster-Lyapunov criteria References Index.
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