[PDF] An Introduction To Communication Network Analysis eBook

Author : George Kesidis
Publisher : John Wiley & Sons
Page : 248 pages
File Size : 23,26 MB
Release : 2007-08-24
Category : Computers
ISBN : 0470168676

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A self-contained text on modeling and performance evaluation of communication networks This 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 continuous-time and discrete-time contexts. The remaining chapters focus more directly on networking, such as traffic shaping and multiplexing, static routing, dynamic routing, and peer-to-peer 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 * Peer-to-Peer File Sharing with Incentives Appendices include additional background information, solutions, and references for selected problems, making this an invaluable text for graduate-level students and networking researchers alike.

Author : Alex Fornito
Publisher : Academic Press
Page : 496 pages
File Size : 12,84 MB
Release : 2016-03-04
Category : Medical
ISBN : 0124081185

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Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain

Author : Fayez Gebali
Publisher : Springer Science & Business Media
Page : 685 pages
File Size : 14,64 MB
Release : 2008-06-24
Category : Technology & Engineering
ISBN : 0387744371

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Analysis of Computer and Communication Networks provides the basic techniques for modeling and analyzing two of the fundamental components of high performance networks: switching equipment, and software employed at the end nodes and intermediate switches. The book also reviews the design options used to build efficient switching equipment. Topics covered include Markov chains and queuing analysis, traffic modeling, interconnection networks, and switch architectures and buffering strategies. This book covers the mathematical theory and techniques necessary for analyzing telecommunication systems. Queuing and Markov chain analyses are provided for many protocols currently in use. The book then discusses in detail applications of Markov chains and queuing analysis to model more than 15 communications protocols and hardware components.

Author : Peter R. Monge
Publisher : Oxford University Press
Page : 431 pages
File Size : 41,28 MB
Release : 2003-03-27
Category : Business & Economics
ISBN : 019803637X

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To date, most network research contains one or more of five major problems. First, it tends to be atheoretical, ignoring the various social theories that contain network implications. Second, it explores single levels of analysis rather than the multiple levels out of which most networks are comprised. Third, network analysis has employed very little the insights from contemporary complex systems analysis and computer simulations. Foruth, it typically uses descriptive rather than inferential statistics, thus robbing it of the ability to make claims about the larger universe of networks. Finally, almost all the research is static and cross-sectional rather than dynamic. Theories of Communication Networks presents solutions to all five problems. The authors develop a multitheoretical model that relates different social science theories with different network properties. This model is multilevel, providing a network decomposition that applies the various social theories to all network levels: individuals, dyads, triples, groups, and the entire network. The book then establishes a model from the perspective of complex adaptive systems and demonstrates how to use Blanche, an agent-based network computer simulation environment, to generate and test network theories and hypotheses. It presents recent developments in network statistical analysis, the p* family, which provides a basis for valid multilevel statistical inferences regarding networks. Finally, it shows how to relate communication networks to other networks, thus providing the basis in conjunction with computer simulations to study the emergence of dynamic organizational networks.

Author : Anurag Kumar
Publisher : Elsevier
Page : 958 pages
File Size : 27,59 MB
Release : 2004-06-02
Category : Computers
ISBN : 008048851X

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Communication Networking is a comprehensive, effectively organized introduction to the realities of communication network engineering. Written for both the workplace and the classroom, this book lays the foundation and provides the answers required for building an efficient, state-of-the-art network—one that can expand to meet growing demand and evolve to capitalize on coming technological advances. It focuses on the three building blocks out of which a communication network is constructed: multiplexing, switching, and routing. The discussions are based on the viewpoint that communication networking is about efficient resource sharing. The progression is natural: the book begins with individual physical links and proceeds to their combination in a network. The approach is analytical: discussion is driven by mathematical analyses of and solutions to specific engineering problems. Fundamental concepts are explained in detail and design issues are placed in context through real world examples from current technologies. The text offers in-depth coverage of many current topics, including network calculus with deterministically-constrained traffic; congestion control for elastic traffic; packet switch queuing; switching architectures; virtual path routing; and routing for quality of service. It also includes more than 200 hands-on exercises and class-tested problems, dozens of schematic figures, a review of key mathematical concepts, and a glossary. This book will be of interest to networking professionals whose work is primarily architecture definition and implementation, i.e., network engineers and designers at telecom companies, industrial research labs, etc. It will also appeal to final year undergrad and first year graduate students in EE, CE, and CS programs. Systematically uses mathematical models and analyses to drive the development of a practical understanding of core network engineering problems. Provides in-depth coverage of many current topics, including network calculus with deterministically-constrained traffic, congestion control for elastic traffic, packet switch queuing, switching architectures, virtual path routing, and routing for quality of service. Includes over 200 hands-on exercises and class-tested problems, dozens of schematic figures, a review of key mathematical concepts, and a glossary.

Author : Peter R. Monge
Publisher :
Page : 431 pages
File Size : 18,55 MB
Release : 2003
Category : Business & Economics
ISBN : 0195160371

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In this text, the authors develop a multitheoretical model that relates different social science theories with different network properties. This model is multilevel, providing a network decomposition that applies the various social theories to all network levels.

Author : Ulrik Brandes
Publisher : Springer
Page : 481 pages
File Size : 23,87 MB
Release : 2005-02-02
Category : Computers
ISBN : 3540319557

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‘Network’ is a heavily overloaded term, so that ‘network analysis’ means different things to different people. Specific forms of network analysis are used in the study of diverse structures such as the Internet, interlocking directorates, transportation systems, epidemic spreading, metabolic pathways, the Web graph, electrical circuits, project plans, and so on. There is, however, a broad methodological foundation which is quickly becoming a prerequisite for researchers and practitioners working with network models. From a computer science perspective, network analysis is applied graph theory. Unlike standard graph theory books, the content of this book is organized according to methods for specific levels of analysis (element, group, network) rather than abstract concepts like paths, matchings, or spanning subgraphs. Its topics therefore range from vertex centrality to graph clustering and the evolution of scale-free networks. In 15 coherent chapters, this monograph-like tutorial book introduces and surveys the concepts and methods that drive network analysis, and is thus the first book to do so from a methodological perspective independent of specific application areas.

Author : Tarmo Anttalainen
Publisher : Artech House
Page : 385 pages
File Size : 32,53 MB
Release : 2014-11-01
Category : Technology & Engineering
ISBN : 1608077624

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This new book is an introduction to modern communications networks that now rely far less on telephone services and more on cellular and IP networks. The resource is designed to provide answers to the fundamental questions concerning telecommunications networks and services. This includes the structure and main components of a modern telecommunications network; the importance of standardization; and how cellular mobile networks operate; among many others. In addition, you are provided with problems and review questions to work though and help you master the material.

Author : Jean Walrand
Publisher : Morgan & Claypool Publishers
Page : 242 pages
File Size : 49,95 MB
Release : 2017-12-04
Category : Computers
ISBN : 1627058990

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This book results from many years of teaching an upper division course on communication networks in the EECS department at the University of California, Berkeley. It is motivated by the perceived need for an easily accessible textbook that puts emphasis on the core concepts behind current and next generation networks. After an overview of how today's Internet works and a discussion of the main principles behind its architecture, we discuss the key ideas behind Ethernet, WiFi networks, routing, internetworking, and TCP. To make the book as self-contained as possible, brief discussions of probability and Markov chain concepts are included in the appendices. This is followed by a brief discussion of mathematical models that provide insight into the operations of network protocols. Next, the main ideas behind the new generation of wireless networks based on LTE, and the notion of QoS are presented. A concise discussion of the physical layer technologies underlying various networks is also included. Finally, a sampling of topics is presented that may have significant influence on the future evolution of networks, including overlay networks like content delivery and peer-to-peer networks, sensor networks, distributed algorithms, Byzantine agreement, source compression, SDN and NFV, and Internet of Things.