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A selfcontained text on modeling and performance evaluation of communication networksThis quantitative book focuses on the real issues behind modeling and analysis of communication networks. The author covers a wide variety of topical networking subject matter based on the provided background material in probability, Markov chains, and queues. Leveraging this material, the author explores topics in local multiplexing and routing over three successive chapters, stressing both continuoustime and discretetime contexts. The remaining chapters focus more directly on networking, such as traffic shaping and multiplexing, static routing, dynamic routing, and peertopeer file sharing systems.Providing more rigorous and technically deep coverage than most commonly used networking textbooks, An Introduction to Communication Network Analysis covers classical (e.g., queuing theory) and modern (e.g., pricing) aspects of networking in a clear, accessible manner. Chapters include:*Review of Elementary Probability Theory*Markov Chains*Introduction to Queuing Theory*Local Multiplexing*Queuing Networks with Static Routing*Dynamic Routing with Incentives*PeertoPeer File Sharing with IncentivesAppendices include additional background information, solutions, and references for selected problems, making this an invaluable text for graduatelevel students and networking researchers alike.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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