Parallel and Distributed Computing and Networks

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

Suitable for a one- or two-semester course for undergraduate and graduate students, this interdisciplinary textbook explains the diverse aspects of innovation and social networks, which occupy a central place in business and policy agendas. Its unified approach presents networks as nested systems that can span organisations, industries, regions, and markets, giving students a holistic perspective and reducing the amount of effort required to learn the theoretical framework for each layer. With engaging real-world examples, the text also provides a practical guide on how to manage networks to increase innovation and improve performance. Topics covered include forming teams to foster creativity, selecting partners and leveraging partnerships for learning, managing organisational change, and sponsoring technologies in communities. Students will learn the metrics used in social network analysis and how they are interpreted and applied. Suggested reading lists and online resources offer opp

Suitable for a one- or two-semester course for undergraduate and graduate students, this interdisciplinary textbook explains the diverse aspects of innovation and social networks, which occupy a central place in business and policy agendas. Its unified approach presents networks as nested systems that can span organisations, industries, regions, and markets, giving students a holistic perspective and reducing the amount of effort required to learn the theoretical framework for each layer. With engaging real-world examples, the text also provides a practical guide on how to manage networks to increase innovation and improve performance. Topics covered include forming teams to foster creativity, selecting partners and leveraging partnerships for learning, managing organisational change, and sponsoring technologies in communities. Students will learn the metrics used in social network analysis and how they are interpreted and applied. Suggested reading lists and online resources offer opp

This unique text provides a comprehensive and systematic introduction to the theory and practice of mobile data networks. Covering basic design principles as well as analytical tools for network performance evaluation, and with a focus on system-level resource management, you will learn how state-of-the-art network design can enable you flexibly and efficiently to manage and trade-off various resources such as spectrum, energy, and infrastructure investments. Topics covered range from traditional elements such as medium access, cell deployment, capacity, handover, and interference management, to more recent cutting-edge topics such as heterogeneous networks, energy and cost-efficient network design, and a detailed introduction to LTE (4G). Numerous worked examples and exercises illustrate the key theoretical concepts and help you put your knowledge into practice, making this an essential resource whether you are a student, researcher, or practicing engineer.

Water supply- and drainage systems and mixed water channel systems are networks whose high dynamic is determined and/or affected by consumer habits on drinking water on the one hand and by climate con

Who controls how transnational issues are defined and treated? In recent decades professional coordination on a range of issues has been elevated to the transnational level. International organizations, non-governmental organizations (NGOs) and firms all make efforts to control these issues. This volume shifts focus away from looking at organizations and zooms in on how professional networks exert control in transnational governance. It contributes to research on professions and expertise, policy entrepreneurship, normative emergence, and change. The book provides a framework for understanding how professionals and organizations interact, and uses it to investigate a range of transnational cases. The volume also deploys a strong emphasis on methodological strategies to reveal who controls transnational issues, including network, sequence, field, and ethnographic approaches. Bringing together scholars from economic sociology, international relations, and organization studies, the book i

Genome sequences are now available that enable us to determine the biological components that make up a cell or an organism. The discipline of systems biology examines how these components interact and form networks, and how the networks generate whole cell functions corresponding to observable phenotypes. This textbook, devoted to systems biology, describes how to model networks, how to determine their properties, and how to relate these to phenotypic functions. The prerequisites are some knowledge of linear algebra and biochemistry. Though the links between the mathematical ideas and biological processes are made clear, the book reflects the irreversible trend of increasing mathematical content in biology education. Therefore to assist both teacher and student, in an associated website Palsson provides problem sets, projects and Powerpoint slides, and keeps the presentation in the book concrete with illustrative material and experimental results.

Analyzing the behavior of complex networks is an important element in the design of new man-made structures such as communication systems and biologically engineered molecules. Because any complex network can be represented by a graph, and therefore in turn by a matrix, graph theory has become a powerful tool in the investigation of network performance. This self-contained 2010 book provides a concise introduction to the theory of graph spectra and its applications to the study of complex networks. Covering a range of types of graphs and topics important to the analysis of complex systems, this guide provides the mathematical foundation needed to understand and apply spectral insight to real-world systems. In particular, the general properties of both the adjacency and Laplacian spectrum of graphs are derived and applied to complex networks. An ideal resource for researchers and students in communications networking as well as in physics and mathematics.

Analyzing the behavior of complex networks is an important element in the design of new man-made structures such as communication systems and biologically engineered molecules. Because any complex network can be represented by a graph, and therefore in turn by a matrix, graph theory has become a powerful tool in the investigation of network performance. This self-contained 2010 book provides a concise introduction to the theory of graph spectra and its applications to the study of complex networks. Covering a range of types of graphs and topics important to the analysis of complex systems, this guide provides the mathematical foundation needed to understand and apply spectral insight to real-world systems. In particular, the general properties of both the adjacency and Laplacian spectrum of graphs are derived and applied to complex networks. An ideal resource for researchers and students in communications networking as well as in physics and mathematics.

Globalization may offer modern feminism its greatest opportunity and greatest challenge. Allowing communication and information exchange while also exacerbating economic and social inequalities, globa

This book covers performance analysis of computer networks, and begins by providing the necessary background in probability theory, random variables, and stochastic processes. Queuing theory and sim

This book provides the latest models, methods and guidelines for networked enterprises to enhance their competitiveness and move towards innovative high performance and agile industrial systems.In the

Embedded systems become more and more complex and require having some knowledge in various disciplines such as electronics, data processing, telecommunications and networks. Without detailing all the

The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort in understanding the effect of complex connectivity patterns on dynamical phenomena. This book presents a comprehensive account of these effects. A vast number of systems, from the brain to ecosystems, power grids and the internet, can be represented as large complex networks. This book will interest graduate students and researchers in many disciplines, from physics and statistical mechanics to mathematical biology and information science. Its modular approach allows readers to readily access the sections of most interest to them, and complicated maths is avoided so the text can be easily followed by non-expert

The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort in understanding the effect of complex connectivity patterns on dynamical phenomena. This book presents a comprehensive account of these effects. A vast number of systems, from the brain to ecosystems, power grids and the internet, can be represented as large complex networks. This book will interest graduate students and researchers in many disciplines, from physics and statistical mechanics to mathematical biology and information science. Its modular approach allows readers to readily access the sections of most interest to them, and complicated maths is avoided so the text can be easily followed by non-expert

Wireless sensor networks are an emerging technology with a wide range of applications in military and civilian domains. The book begins by detailing the basic principles and concepts of wireless sensor networks, including information gathering, energy management and the structure of sensory nodes. It proceeds to examine advanced topics, covering localisation, topology, security and evaluation of wireless sensor networks, highlighting international research being carried out in this area. Finally, it features numerous examples of applications of this technology to a range of domains, such as wireless, multimedia, underwater and underground wireless sensor networks. The concise but clear presentation of the important principles, techniques and applications of wireless sensor networks makes this guide an excellent introduction for anyone new to the subject, as well as an ideal reference for practitioners and researchers.

Compressive sensing is a new signal processing paradigm that aims to encode sparse signals by using far lower sampling rates than those in the traditional Nyquist approach. It helps acquire, store, fuse and process large data sets efficiently and accurately. This method, which links data acquisition, compression, dimensionality reduction and optimization, has attracted significant attention from researchers and engineers in various areas. This comprehensive reference develops a unified view on how to incorporate efficiently the idea of compressive sensing over assorted wireless network scenarios, interweaving concepts from signal processing, optimization, information theory, communications and networking to address the issues in question from an engineering perspective. It enables students, researchers and communications engineers to develop a working knowledge of compressive sensing, including background on the basics of compressive sensing theory, an understanding of its benefits and

This book explores the microsensing technologies and systems now available to monitor the quality of air and water within the urban environment and examines their role in the creation of sustainable c

Networks are involved in many aspects of everyday life, from food webs in ecology and the spread of pandemics to social networking and public transportation. In fact, some of the most important and fa

By focusing on the works and intellectual network of the Timurid historian Sharaf al Dīn 'Alī Yazdī (d.1454), this book presents a holistic view of intellectual life in fifteenth century Iran. İlker Evrim Binbaş argues that the intellectuals in this period formed informal networks which transcended political and linguistic boundaries, and spanned an area from the western fringes of the Ottoman State to bustling late medieval metropolises such as Cairo, Shiraz, and Samarkand. The network included an Ottoman revolutionary, a Mamluk prophet, and a Timurid occultist, as well as physicians, astronomers, devotees of the secret sciences, and those political figures who believed that the network was a force to be taken seriously. Also discussing the formation of an early modern Islamicate republic of letters, this book offers fresh insights on the study of intellectual history beyond the limitations imposed by nationalist methodologies, established genres, and recognized literary traditions.

Power grids, flexible manufacturing, cellular communications: interconnectedness has consequences. This remarkable book gives the tools and philosophy you need to build network models detailed enough to capture essential dynamics but simple enough to expose the structure of effective control solutions. Core chapters assume only exposure to stochastic processes and linear algebra at undergraduate level; later chapters are for advanced graduate students and researchers/practitioners. This gradual development bridges classical theory with the state-of-the-art. The workload model at the heart of traditional analysis of the single queue becomes a foundation for workload relaxations used in the treatment of complex networks. Lyapunov functions and dynamic programming equations lead to the celebrated MaxWeight policy along with many generalizations. Other topics include methods for synthesizing hedging and safety stocks, stability theory for networks, and techniques for accelerated simulation

Social network analysis maps relationships and transactions between people and groups. This text was the first book-length application of this method to the ancient world, using the abundant documentary evidence from sixth-century Oxyrhynchos and Aphrodito in Egypt. Professor Ruffini combines a prosopographical survey of both sites with computer analyses of the topographical and social networks in their papyri. He thereby uncovers hierarchical social structures in Oxyrhynchos not present in Aphrodito, and is able for the first time to trace the formation of the famous Apion estate. He can also use quantitative techniques to locate the central players in the Aphrodito social landscape, allowing us to see past the family of Dioskoros to discover the importance of otherwise unknown figures. He argues that the apparent social differences between Oxyrhynchos and Aphrodito in fact represent different levels of geographic scale, both present within the same social model.

Social network analysis maps relationships and transactions between people and groups. This text was the first book-length application of this method to the ancient world, using the abundant documentary evidence from sixth-century Oxyrhynchos and Aphrodito in Egypt. Professor Ruffini combines a prosopographical survey of both sites with computer analyses of the topographical and social networks in their papyri. He thereby uncovers hierarchical social structures in Oxyrhynchos not present in Aphrodito, and is able for the first time to trace the formation of the famous Apion estate. He can also use quantitative techniques to locate the central players in the Aphrodito social landscape, allowing us to see past the family of Dioskoros to discover the importance of otherwise unknown figures. He argues that the apparent social differences between Oxyrhynchos and Aphrodito in fact represent different levels of geographic scale, both present within the same social model.

The questions of how a large population of neurons in the brain functions, how synchronized firing of neurons is achieved, and what factors regulate how many and which neurons fire under different conditions form the central theme of this book. Using a combined experimental-theoretical approach unique in neuroscience, the authors present important techniques for the physiological reconstruction of a large biological neuronal network. They begin by discussing experimental studies of the CA3 hippocampal region in vitro, focusing on single-cell and synaptic electrophysiology, particularly the effects a single neuron exerts on its neighbours. This is followed by a description of a computer model of the system, first for individual cells then for the entire detailed network, and the model is compared with experiments under a variety of conditions. The results shed significant light into the mechanisms of epilepsy, electroencephalograms, and biological oscillations and provide an excellent t

The questions of how a large population of neurons in the brain functions, how synchronized firing of neurons is achieved, and what factors regulate how many and which neurons fire under different conditions form the central theme of this book. Using a combined experimental-theoretical approach unique in neuroscience, the authors present important techniques for the physiological reconstruction of a large biological neuronal network. They begin by discussing experimental studies of the CA3 hippocampal region in vitro, focusing on single-cell and synaptic electrophysiology, particularly the effects a single neuron exerts on its neighbours. This is followed by a description of a computer model of the system, first for individual cells then for the entire detailed network, and the model is compared with experiments under a variety of conditions. The results shed significant light into the mechanisms of epilepsy, electroencephalograms, and biological oscillations and provide an excellent t

The last decade has witnessed an unprecedented development and growth in global wireless communications systems, technologies and network “traffic” generated over network infrastructures.This book pre

A mathematical tool for scientists and researchers who work with computer and communication networks, Game Theory in Communication Networks: Cooperative Resolution of Interactive Networking Scenarios

Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI

Wireless Networks is a compendium of articles and papers that were presented at ICWN '15, an international conference that serves researchers, scholars, professionals, students, and academicians.

Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first com

Slime mould Physarum polycephalum is a monstrous single cell well known for its task-solving abilities — solves computational geometry and logical problems, navigates robots and generates music.The sl

Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific. In, Comp

The third edition of Optical Networks continues to be the authoritative source for information on optical networking technologies and techniques. Componentry and transmission are discussed in detail w

Network science offers a powerful language to represent and study complex systems composed of interacting elements — from the Internet to social and biological systems. In its standard formulation, th

With the proliferation of social network services, more and more social users, such as individuals and organizations, are simultaneously involved in multiple social networks for various purposes. In f

This book provides, for the first time, a tutorial on the computational tools that use mathematical optimization concepts and representations for the curation, analysis and redesign of metabolic netwo

A comprehensive summary of theoretical and practical developments in LTE Heterogeneous NetworksThe last decade has witnessed the proliferation of mobile broadband data and the trend is likely to incre

Evidenced by the success of Facebook, Twitter, and LinkedIn, online social networks (OSNs) have become ubiquitous, offering novel ways for people to access information and communicate with each other.

This self-contained book presents theoretical results and current applications of structural network analysis to synthetic and real-world networks. The individual chapters are a careful balance of cl

This book covers the planning, design and implementation of hybrid fiber-optic coaxial (HFC) broadband networks in schools, universities, hospitals, factories and offices, whether they are in a single