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Get the big picture on converged network architectures and emerging protocols! Converged networks integrate voice, video, and data traffic on a single network. This book covers converged network architectures as well as the latest enabling protocols including SIP, H.323, MPLS, and H.248. Readers will gain a better understanding of network architectures and protocols such as SONET, frame relay, ATM and IP. The book offers the latest information on voice communication networks, data networks, voice packet processing, coding for broadband systems, and voice- over packet networks. Readers will also discover how converged networks can provide the highest level of service for the least cost.
Telemedicine is a rapidly evolving field as new technologies are implemented for example for the development of wireless sensors, quality data transmission. Using the Internet applications such as counseling, clinical consultation support and home care monitoring and management are more and more realized, which improves access to high level medical care in underserved areas. The 23 chapters of this book present manifold examples of telemedicine treating both theoretical and practical foundations and application scenarios.
The emergence of quality-of-service (QoS) mechanisms continues to propel the development of real-time multimedia services such as VoIP and videoconferencing. However, many challenges remain in achieving optimized standardization convergence. Network Design for IP Convergence is a comprehensive, global guide to recent advances in IP network implementation. Providing an introduction to basic LAN/WAN/MAN network design, the author covers the latest equipment and architecture, addressing, QoS policies, and integration of services, among other topics. The book explains how to integrate the different layers of reference models and various technological platforms to mirror the harmonization that occurs in the real world of carrier networks. It furnishes appropriate designs for traditional and critical services in the LAN and carrier networks (both MAN and WAN), and it clarifies how a specific layer or technology can cause those services to malfunction. This book lays a foundation for understanding with concepts and applicability of QoS parameters under the multilayer scheme, and a solid explanation of service infrastructure. It goes on to describe integration in both real time and "not real time," elaborating on how both processes can co-exist within the same IP network and concluding with the designs and configurations of service connections. Learn How to Overcome Obstacles to Improve Technology This sweeping analysis of the implementation of IP convergence and QoS mechanisms helps designers and operators get past key obstacles, such as integrating platform layers and technologies and implementing various associated QoS concepts, to improve technology and standards.
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An interdisciplinary approach to understanding queueing andgraphical networks In today's era of interdisciplinary studies and researchactivities, network models are becoming increasingly important invarious areas where they have not regularly been used. Combiningtechniques from stochastic processes and graph theory to analyzethe behavior of networks, Fundamentals of StochasticNetworks provides an interdisciplinary approach by includingpractical applications of these stochastic networks in variousfields of study, from engineering and operations management tocommunications and the physical sciences. The author uniquely unites different types of stochastic,queueing, and graphical networks that are typically studiedindependently of each other. With balanced coverage, the book isorganized into three succinct parts: Part I introduces basic concepts in probability and stochasticprocesses, with coverage on counting, Poisson, renewal, and Markovprocesses Part II addresses basic queueing theory, with a focus onMarkovian queueing systems and also explores advanced queueingtheory, queueing networks, and approximations of queueingnetworks Part III focuses on graphical models, presenting an introductionto graph theory along with Bayesian, Boolean, and randomnetworks The author presents the material in a self-contained style thathelps readers apply the presented methods and techniques to scienceand engineering applications. Numerous practical examples are alsoprovided throughout, including all related mathematicaldetails. Featuring basic results without heavy emphasis on provingtheorems, Fundamentals of Stochastic Networks is a suitablebook for courses on probability and stochastic networks, stochasticnetwork calculus, and stochastic network optimization at theupper-undergraduate and graduate levels. The book also serves as areference for researchers and network professionals who would liketo learn more about the general principles of stochasticnetworks.
Presents an important and unique introduction to random walk theory Random walk is a stochastic process that has proven to be a useful model in understanding discrete-state discrete-time processes across a wide spectrum of scientific disciplines. Elements of Random Walk and Diffusion Processes provides an interdisciplinary approach by including numerous practical examples and exercises with real-world applications in operations research, economics, engineering, and physics. Featuring an introduction to powerful and general techniques that are used in the application of physical and dynamic processes, the book presents the connections between diffusion equations and random motion. Standard methods and applications of Brownian motion are addressed in addition to Levy motion, which has become popular in random searches in a variety of fields. The book also covers fractional calculus and introduces percolation theory and its relationship to diffusion processes. With a strong emphasis on the relationship between random walk theory and diffusion processes, Elements of Random Walk and Diffusion Processes features: Basic concepts in probability, an overview of stochastic and fractional processes, and elements of graph theory Numerous practical applications of random walk across various disciplines, including how to model stock prices and gambling, describe the statistical properties of genetic drift, and simplify the random movement of molecules in liquids and gases Examples of the real-world applicability of random walk such as node movement and node failure in wireless networking, the size of the Web in computer science, and polymers in physics Plentiful examples and exercises throughout that illustrate the solution of many practical problems Elements of Random Walk and Diffusion Processes is an ideal reference for researchers and professionals involved in operations research, economics, engineering, mathematics, and physics. The book is also an excellent textbook for upper-undergraduate and graduate level courses in probability and stochastic processes, stochastic models, random motion and Brownian theory, random walk theory, and diffusion process techniques.
This new, leading-edge resource provides you with a comprehensive understanding of the systems engineering principles and details needed to implement wireless broadband applications, using ATM interworking methods with emphasis on traffic management and QoS issues. It offers a unique perspective of the impact of the wireless component, and presents a complete engineering-level treatment of all relevant topics.

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