Giambene, Giovanni.

Queuing Theory and Telecommunications Networks and Applications / [electronic resource] : by Giovanni Giambene. - Boston, MA : Springer US, 2005. - XX, 588 p. 240 illus. online resource.

Telecommunication Networks -- to Telecommunication Networks -- Digital Networks -- IP-Based Networks -- Queuing Theory and Applications -- Survey on Probability Theory -- Markov Chains and Queuing Theory -- M/G/1 Queuing Theory and Applications -- Local Area Networks Analysis -- Networks of Queues.

Queuing Theory and Telecommunications : Networks and Applications provides some fundamental knowledge in queuing theory, as well as essential analytical methods and approaches to be employed to evaluate and design telecommunication networks. This work provides methods for teletraffic analysis as well as descriptions of current network technologies such as ISDN, B-ISDN, IP-based networks, MPLS, GMPLS, NGN and local access systems, including ADSL-based, Ethernet, Token Passing, and WiFi. Also, numerous solved exercises are provided in order to illustrate the applications of queuing theory in telecommunication networks. The following advanced telecommunication problems are modeled and solved by means of queuing analysis: statistics of the transmission delay for packet data traffic arriving at a transmission buffer; blocking behavior for bursty call arrival processes; characterization of Markovian traffic sources; performance of traffic regulators, analysis of access protocols and more. The author provides readers with a correct understanding of fundamental methods to be applied in the analysis of telecommunications systems. Queuing Theory and Telecommunications : Networks and Applications is a reference text for advanced undergraduate and graduate level courses in telecommunications engineering and networking. It will also serve as a useful work for system engineers involved in network dimensioning.


10.1007/b104425 doi

Computer science.
Distribution (Probability theory).
Communications Engineering, Networks.
Probability and Statistics in Computer Science.
Probability Theory and Stochastic Processes.
Operations Research/Decision Theory.
Electronic and Computer Engineering.



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