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Modeling and Analysis of Computer Communications Networks

BuchKartoniert, Paperback
399 Seiten
Englisch
Springererschienen am31.01.2013Softcover reprint of the original 1st ed. 1984
The characteristics of this data traffic and the associated perfor­ mance requirements are quite different from those of voice traffic. The subject of this book is the mathematical modeling and analysis of computer communications networks, that is to say, the multiplexing and switching techniques that have been developed for data traffic.mehr
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BuchKartoniert, Paperback
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Produkt

KlappentextThe characteristics of this data traffic and the associated perfor­ mance requirements are quite different from those of voice traffic. The subject of this book is the mathematical modeling and analysis of computer communications networks, that is to say, the multiplexing and switching techniques that have been developed for data traffic.
Details
ISBN/GTIN978-1-4684-4843-6
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2013
Erscheinungsdatum31.01.2013
AuflageSoftcover reprint of the original 1st ed. 1984
ReiheApplications of Communications Theory
Seiten399 Seiten
SpracheEnglisch
Gewicht606 g
IllustrationenXIV, 399 p.
Artikel-Nr.29471530

Inhalt/Kritik

Inhaltsverzeichnis
1. Basic Orientation.- 1.1. Modeling and Analysis of Computer Communication Networks.- 1.2. Computer Communications Networks.- 1.3. Summary of Text.- 2. Protocols and Facilities.- 2.1. Introduction.- 2.2. Properties of Data Traffic.- 2.3. Protocols.- 2.4. The Telephone Network.- 2.5. Data Transmission.- 2.6. Data Networks.- 2.7. Local Area Networks.- 2.8. Alternative Facilities: Satellites and Cable Television.- 3. Pure Birth and Birth-Death Processes: Applications to Queueing.- 3.1. Introduction.- 3.2. Bernoulli Trials-Markov Chains.- 3.3. The Poisson Process.- 3.4. Pure Birth Processes.- 3.5. Birth-Death Processes.- 3.6. Queueing Models.- 3.7. Delay-Little´s Formula.- 3.8. Burke´s Theorem.- 3.9. Communications Example.- 3.10. Method of Stages.- Exercises.- 4. Imbedded Markov Chain: The M/G/1 Queue.- 4.1. Introduction.- 4.2. The M/G/1 Queue.- 4.3. Variation for the Initiator of a Busy Period.- 4.4. Numerical Results.- Exercises.- 5. Imbedded Markov Chain Analysis of Time-Division Multiplexing.- 5.1. Introduction.- 5.2. Simple and Compound Poisson Arrival.- 5.3. Asynchronous Time-Division Multiplexing.- 5.4. Synchronous Time-Division Multiplexing.- 5.5. Message Delay.- 5.6. Alternate Derivation Average Delay in STDM.- 5.7. Come Right In Strategy.- 5.8. Automatic Repeat Request.- Exercises.- 6. Intermittently Available Server, Priority Queues: Application to Ring Systems.- 6.1. Interrupted Service, Priority Queues.- 6.2. Preemptive Resume Discipline.- 6.3. Nonpreemptive Priorities.- 6.4. Application to Local Area Networks with the Ring Topology.- Exercises.- 7. Polling.- 7.1. Basic Model: Applications.- 7.2. Average Cycle Time: Infinite Buffer.- 7.3. Single-Message Buffers.- 7.4. Analysis: Infinite Buffer.- 7.5. Review of Literature.- Exercises.- 8. RandomAccess Systems.- 8.1. ALOHA and Slotted ALOHA.- 8.2. Carrier Sense Multiple Access.- 8.3. Delay Calculations CSMA/CD.- 8.4. Performance Comparisons.- 8.5. Reservation Techniques.- Exercises.- 9. Probing and Tree Search Techniques.- 9.1. Overhead and Information Theory.- 9.2. Probing.- 9.3. Cycle Time in Probing.- 9.4. Message Delay.- 9.5. More Complete State Information.- Exercises.- 10. Networks of Queues.- 10.1. Introduction-Jackson Networks.- 10.2. Multidimensional Birth-Death Processes; Queues in Tandem.- 10.3. Networks of Queues-Product Form Distribution.- 10.4. The Departure Process-Time Reversal.- 10.5. Store-and-Forward Communication Networks.- 10.6. Capacity Allocation.- Exercises.- 11. Congestion and Flow Control.- 11.1. Introduction.- 11.2. Link Level Flow Control-HDLC.- 11.3. Flow Control and Jackson Networks.- 11.4. Computational Techniques-Closed Networks.- 11.5. Networks with Blocking.- Exercises.- 12. Routing-Flow Allocation.- 12.1. Introduction.- 12.2. Routing Model.- 12.3. Shortest-Path Algorithms.- 12.4. Capacity Constraints.- 12.5. Flow Control and Routing.- 12.6. Routing in Practice.- Exercises.- 13. Network Layout and Reliability.- 13.1. Introduction.- 13.2. Trees.- 13.3. Distributed Networks.- 13.4. Network Reliability.- Exercises.- Appendix A: Review of Probability Theory.- ?.1. Axioms of Probability.- A.2. Conditional Probability.- A.3. Random Variables-Probability Distributions and Densities.- A.4. Joint Distributions of Random Variables.- A.5. Expectation of a Random Variable-Moments.- A.6. Probability-Generating Functions and Characteristic Functions.- A.7. Bounds and Limit Theorems.- Appendix B: Review of Markov Chains.- B.1. Example: Bernoulli Trials.- B.2. State Transition Matrix.- B.3. Steady-state Distribution.mehr