Computer Networks

Scholars of communication and related disciplines look at everyday lives in which computer networks are no longer shiny toys, but simply one of the pedestrian dimensions of the world. Their topics inc

Social networks enable anyone with a computer and Internet connection to stay in touch with friends and family across the globe, and rediscover old acquaintances. Social Networking for the Older

Gilles Kahn was one of the most influential figures in the development of computer science and information technology, not only in Europe but throughout the world. This volume of articles by several leading computer scientists serves as a fitting memorial to Kahn's achievements and reflects the broad range of subjects to which he contributed through his scientific research and his work at INRIA, the French National Institute for Research in Computer Science and Control. The authors also reflect upon the future of computing: how it will develop as a subject in itself and how it will affect other disciplines, from biology and medical informatics, to web and networks in general. Its breadth of coverage, topicality, originality and depth of contribution, make this book a stimulating read for all those interested in the future development of information technology.

Wireless sensor networks are set to play a key role in a wide range of civilian and military applications, with tiny sensors connected through wireless links performing various sensing, computing, communication, and control tasks in highly distributed systems. This book presents a critical element in the deployment of wireless sensor networks: the process of synchronization. It summarizes the most important clock synchronization protocols proposed for wireless sensor networks with special emphasis placed on deriving efficient clock offset estimation schemes and performance benchmarks. Graduate students of electrical and computer engineering and computer science will find this a valuable resource, as will engineers who are interested in designing efficient clock synchronization algorithms and improving the performance of existing synchronization protocols.

Computer scientists, software engineers, and other researchers describe recent investigations into how artificial intelligence techniques and concepts as knowledge-based systems, neural networks, fuzz

An introduction to theories and applications in wireless broadband networks As wireless broadband networks evolve into future generation wireless networks, it's important for students, researchers, a

This book is useful both to people in the statistics community and in the various communities in which networks currently are heavily used, such as parts of biology, computer science, engineering, ph

Designing efficient IP networks and maintaining them effectively poses a range of challenges, but in this highly competitive industry it is crucial that these are overcome. Weaving together theory and practice, this text sets out the design and management principles of large-scale IP networks, and the need for these tasks to be underpinned by actual measurements. Discussions of the types of measurements available in IP networks are included, along with the ways in which they can assist both in the design phase as well as in the monitoring and management of IP applications. Other topics covered include IP network design, traffic engineering, network and service management and security. A valuable resource for graduate students and researchers in electrical and computer engineering and computer science, this is also an excellent reference for network designers and operators in the communication industry.

Updated and expanded, this second edition of the acclaimed Multiwavelength Optical Networks provides a detailed description of the structure and operation of modern optical networks. It also sets out the analytical tools for network performance evaluation and optimization for current and next generation networks, as well as the latest advances in enabling technologies. Backbone optical networks are evolving to mesh topologies using intelligent network elements; a new optical control plane is taking shape based on GMPLS; and significant advances have occurred in Fiber to the Home/Premises (the 'last mile'), metropolitan area networks, protection and restoration, and IP over WDM. New research on all-optical packet switched networks is also covered in depth. Also included are current trends and new applications on the commercial scene. This book is an invaluable resource for graduate and senior undergraduate students in electrical engineering, computer science, and applied physics, and fo

Network calculus, a theory dealing with queuing systems found in computer networks, focuses on performance guarantees. The development of an information theory for stochastic service-guarantee analys

This new work presents the mathematical theory and techniques for analyzing and modeling high-performance global communication networks, with a focus on software employed at the end nodes and interme

Collaborative Networks: Reference Modeling works to establish a theoretical foundation for Collaborative Networks. Particular emphasis is put on modeling multiple facets of collaborative networks and

Organizations with computer networks, Web sites, and employees carrying laptops and Blackberries face an array of security challenges. Among other things, they need to keep unauthorized people out of

Cryptography plays a key role in ensuring the privacy and integrity of data and the security of computer networks. Introduction to Modern Cryptography provides a rigorous yet accessible treatment of m

Technology-mediated tertiary labor, involving work that is mediated, regulated, surveilled, and measured through computers, computer networks, telecommunications systems, and other new technologies an

Networks and computer-mediated communication now penetrate the spaces of everyday life at a fundamental level. We communicate, work, bank, date, check the weather, and fuel conspiracy theories online

The computer game industry is clearly growing in the direction of multiplayer, online games. Understanding the demands of games on IP (Internet Protocol) networks is essential for ISP (Internet Servic

Computer-centered networks and technologies are reshaping social relations and constituting new social domains on a global scale, from virtually borderless electronic markets and Internet-based large-

Prepare to pass CompTIA's new Network+ Exam! This straightforward, no-nonsense guide to installing, configuring, and troubleshooting computer networks not only prepares readers to pass the certificat

This book provides the first overview of the service technologies available to telecoms operators working in a post-convergence world. Previous books have focused either on computer networks or on tel

For network and systems administrators, Voglmaier explains how the Lightweight Directory Access Protocol which is used to access directories of information on computer networks. Most of the informatio

Password sniffing, spoofing, buffer overflows, and denial of service: these are only a few of the attacks on today's computer systems and networks. At the root of this epidemic is poorly written, poor

CNN is reporting that a vicious new virus is wreaking havoc on the world’s computer networks. Somebody’s hacked one of your favorite Web sites and stolen thousands of credit card numbers.

Signs in Use is an accessible introduction to the study of semiotics.All organisms, from bees to computer networks, create signs, communicate, and exchange information. The field of semiotics explores

Multimedia, simulation, computer-mediated communication networks, and distancelearning have all become part of the educational toolkit. The next major technology to change theface of education will be

A modern computer system that's not part of a network is even more of an anomaly today than it was when we published the first edition of this book in 1991. But however widespread networks have becom

"Religion," Mark C. Taylor maintains, "is most interesting where it is least obvious." From global financial networks to the casinos of Las Vegas, from images flickering on computer terminals to steel

This volume contains a total of thirteen papers covering a variety of AI topics ranging from computer vision and robotics to intelligent modeling, neural networks and fuzzy logic. There are two gen

Foreword by Ronald Rice The vast, international web of computer networks that is the Internet offers millions of users the opportunity to exchange electronic mail, photographs, and sound clips; to sea

Using the exploits of three international hackers, Cyberpunk provides a fascinating tour of a bizarre subculture populated by outlaws who penetrate even the most sensitive computer networks and wreak

How do you effectively manage today's complex computer networks? Network Management provides system managers with complete yet accessible answers to that question. This new edition continues to explor

Examines the impact of cable television, computer networks, communication satellites, and other modern technology on free speech and freedom of the press

This 1989 book provides an introduction to the immensely important area of computer networking. The book covers everything from systems linked by telephone lines to tightly coupled networks of processors using high speed links, and the correspondingly broad range of techniques that are needed. The emphasis throughout is on the understanding of the principles that may rapidly become out of date. However, detailed discussion of standards and systems is given where they are widely accepted and likely to be long-lasting. In particular the ARPANET and OSI standards are discussed. The author's style is extremely accessible, and many real-life examples are given to illustrate the discussion.

This book describes how computer programs can generate narratives and how studies of computational narrative can illuminate how humans tell stories. Combining an introduction to relevant concepts related to automatic storytelling with accessible descriptions of well-known computer programs that illustrate how such concepts are employed, the book is aimed at an interdisciplinary audience and assumes little or no background in computer science. The book introduces the most relevant techniques employed over the last 60 years for the development of computer models for narrative generation, including narrative templates, problem-solving, planning, author engagement and reflection, and statistical methods such as deep neural networks, ending with an examination of the societal implications of the development of automatic narrative generator systems.

Discover the fundamental characteristics of ultra-dense networks with this comprehensive text. Featuring a consistent mathematical description of ultra-dense small cell networks while also covering real-world issues such as network deployment, operation and optimization, this book investigates performance metrics of coverage probability and area spectral efficiency (ASE) and addresses the aspects of ultra-dense networks that make them different from current networks. Insightful intuitions, which will assist decision-makers as they migrate their services, are explained and mathematically proven. The book presents the latest review of research outcomes on ultra-dense networks, based on both theoretical analyses and network simulations, includes over 200 sources from 3GPP, the Small Cell Forum, journals and conference proceedings, and covers all other related and prominent topics. This is an ideal reference text for professionals who are dealing with the development, deployment, operation

Deep learning on graphs has become one of the hottest topics in machine learning. The book consists of four parts to best accommodate our readers with diverse backgrounds and purposes of reading. Part 1 introduces basic concepts of graphs and deep learning; Part 2 discusses the most established methods from the basic to advanced settings; Part 3 presents the most typical applications including natural language processing, computer vision, data mining, biochemistry and healthcare; and Part 4 describes advances of methods and applications that tend to be important and promising for future research. The book is self-contained, making it accessible to a broader range of readers including (1) senior undergraduate and graduate students; (2) practitioners and project managers who want to adopt graph neural networks into their products and platforms; and (3) researchers without a computer science background who want to use graph neural networks to advance their disciplines.

Network thinking and network analysis are rapidly expanding features of ecological research. Network analysis of ecological systems include representations and modelling of the interactions in an ecosystem, in which species or factors are joined by pairwise connections. This book provides an overview of ecological network analysis including generating processes, the relationship between structure and dynamic function, and statistics and models for these networks. Starting with a general introduction to the composition of networks and their characteristics, it includes details on such topics as measures of network complexity, applications of spectral graph theory, how best to include indirect species interactions, and multilayer, multiplex and multilevel networks. Graduate students and researchers who want to develop and understand ecological networks in their research will find this volume inspiring and helpful. Detailed guidance to those already working in network ecology but looking

Network thinking and network analysis are rapidly expanding features of ecological research. Network analysis of ecological systems include representations and modelling of the interactions in an ecosystem, in which species or factors are joined by pairwise connections. This book provides an overview of ecological network analysis including generating processes, the relationship between structure and dynamic function, and statistics and models for these networks. Starting with a general introduction to the composition of networks and their characteristics, it includes details on such topics as measures of network complexity, applications of spectral graph theory, how best to include indirect species interactions, and multilayer, multiplex and multilevel networks. Graduate students and researchers who want to develop and understand ecological networks in their research will find this volume inspiring and helpful. Detailed guidance to those already working in network ecology but looking

Deep Neural Networks and Applications makes the readers aware about the various artificial neural networks (ANN) and the topologies related to main neural networks (MNN). The book throws light on the

Understanding Criminal Networks is a short methodological primer for those interested in studying illicit, deviant, covert, or criminal networks using social network analysis (SNA). Accessibly written