Download or read book Large Scale Networks in Engineering and Life Sciences written by Peter Benner and published by Springer. This book was released on 2014-10-21 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume provides insights into and tools for the modeling, analysis, optimization, and control of large-scale networks in the life sciences and in engineering. Large-scale systems are often the result of networked interactions between a large number of subsystems, and their analysis and control are becoming increasingly important. The chapters of this book present the basic concepts and theoretical foundations of network theory and discuss its applications in different scientific areas such as biochemical reactions, chemical production processes, systems biology, electrical circuits, and mobile agents. The aim is to identify common concepts, to understand the underlying mathematical ideas, and to inspire discussions across the borders of the various disciplines. The book originates from the interdisciplinary summer school “Large Scale Networks in Engineering and Life Sciences” hosted by the International Max Planck Research School Magdeburg, September 26-30, 2011, and will therefore be of interest to mathematicians, engineers, physicists, biologists, chemists, and anyone involved in the network sciences. In particular, due to their introductory nature the chapters can serve individually or as a whole as the basis of graduate courses and seminars, future summer schools, or as reference material for practitioners in the network sciences.
Download or read book Large Scale Structure And Dynamics Of Complex Networks From Information Technology To Finance And Natural Science written by Alessandro Vespignani and published by World Scientific. This book was released on 2007-06-28 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the culmination of three years of research effort on a multidisciplinary project in which physicists, mathematicians, computer scientists and social scientists worked together to arrive at a unifying picture of complex networks. The contributed chapters form a reference for the various problems in data analysis visualization and modeling of complex networks.
Download or read book Fundamentals of Brain Network Analysis written by Alex Fornito and published by Academic Press. This book was released on 2016-03-04 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Large Scale Networks written by Radu Dobrescu and published by CRC Press. This book was released on 2016-10-03 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a rigorous analysis of the achievements in the field of traffic control in large networks, oriented on two main aspects: the self-similarity in traffic behaviour and the scale-free characteristic of a complex network. Additionally, the authors propose a new insight in understanding the inner nature of things, and the cause-and-effect based on the identification of relationships and behaviours within a model, which is based on the study of the influence of the topological characteristics of a network upon the traffic behaviour. The effects of this influence are then discussed in order to find new solutions for traffic monitoring and diagnosis and also for traffic anomalies prediction. Although these concepts are illustrated using highly accurate, highly aggregated packet traces collected on backbone Internet links, the results of the analysis can be applied for any complex network whose traffic processes exhibit asymptotic self-similarity, perceived as an adaptability of traffic in networks. However, the problem with self-similar models is that they are computationally complex. Their fitting procedure is very time-consuming, while their parameters cannot be estimated based on the on-line measurements. In this aim, the main objective of this book is to discuss the problem of traffic prediction in the presence of self-similarity and particularly to offer a possibility to forecast future traffic variations and to predict network performance as precisely as possible, based on the measured traffic history.
Download or read book Large Scale Network Centric Distributed Systems written by Hamid Sarbazi-Azad and published by John Wiley & Sons. This book was released on 2013-10-10 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: A highly accessible reference offering a broad range of topics and insights on large scale network-centric distributed systems Evolving from the fields of high-performance computing and networking, large scale network-centric distributed systems continues to grow as one of the most important topics in computing and communication and many interdisciplinary areas. Dealing with both wired and wireless networks, this book focuses on the design and performance issues of such systems. Large Scale Network-Centric Distributed Systems provides in-depth coverage ranging from ground-level hardware issues (such as buffer organization, router delay, and flow control) to the high-level issues immediately concerning application or system users (including parallel programming, middleware, and OS support for such computing systems). Arranged in five parts, it explains and analyzes complex topics to an unprecedented degree: Part 1: Multicore and Many-Core (Mc) Systems-on-Chip Part 2: Pervasive/Ubiquitous Computing and Peer-to-Peer Systems Part 3: Wireless/Mobile Networks Part 4: Grid and Cloud Computing Part 5: Other Topics Related to Network-Centric Computing and Its Applications Large Scale Network-Centric Distributed Systems is an incredibly useful resource for practitioners, postgraduate students, postdocs, and researchers.
Download or read book Synchronization Control for Large Scale Network Systems written by Yuanqing Wu and published by Springer. This book was released on 2016-10-12 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides recent advances in analysis and synthesis of Large-scale network systems (LSNSs) with sampled-data communication and non-identical nodes. In its first chapter of the book presents an introduction to Synchronization of LSNSs and Algebraic Graph Theory as well as an overview of recent developments of LSNSs with sampled data control or output regulation control. The main text of the book is organized into two main parts - Part I: LSNSs with sampled-data communication and Part II: LSNSs with non-identical nodes. This monograph provides up-to-date advances and some recent developments in the analysis and synthesis issues for LSNSs with sampled-data communication and non-identical nodes. It describes the constructions of the adaptive reference generators in the first stage and the robust regulators in the second stage. Examples are presented to show the effectiveness of the proposed design techniques.
Download or read book LARGE SCALE COMPLEX NETWORK ANALYSIS written by Subhankar Dhar and published by Academic Publishers. This book was released on 2015-12-19 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Workshop Proceedings, Indian Statistical Institute, Kolkata December 19-20, 2015
Download or read book Low Power Wide Area Network for Large Scale Internet of Things written by Mariyam Ouaissa and published by CRC Press. This book was released on 2024-04-11 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive exploration of LPWANs, delving into their fundamental concepts, underlying technologies, and the multifaceted challenges they tackle. This book recognizes that LPWANs don't operate in isolation; they are intimately intertwined with Artificial Intelligence and Machine Learning (AI/ML) technologies, which play a pivotal role in optimizing LPWAN performance and capabilities. The book is a collection of original contributions regarding air interface, transmission technologies and novel network architectures, such as network slicing, cloud/fog/edge computing, ad hoc networks and software-defined network. Also, this book provides a guide for researchers of IoT applications to choose suitable LPWAN technologies and describe the design aspects, network architectures, security issues and challenges. Features: Explains machine learning algorithms onto low-power wide area network sensors for compressed communications. Illustrates wireless-based Internet of Things networks using low-power wide area networks technology for quality air. Presents cognitive Internet of Things networks using wireless communication, and low-power wide area network technologies for Ad Hoc networks. Discusses a comprehensive study of low-power wide area networks for flying Ad Hoc networks. Showcases the study of energy efficient techniques aided by low-power wide area network technologies for the Internet of Things networks. The text is aimed at senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.
Download or read book Network Programmability and Automation Fundamentals written by Khaled Abuelenain and published by Cisco Press. This book was released on 2021-05-06 with total page 2821 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modernize and optimize network management with APIs and automation Legacy network management approaches don't scale adequately and can't be automated well. This guide will help meet tomorrow's challenges by adopting network programmability based on Application Programming Interfaces (APIs). Using these techniques, you can improve efficiency, reliability, and flexibility; simplify implementation of high-value technologies; automate routine administrative and security tasks; and deploy services far more rapidly. Four expert authors help you transition from a legacy mindset to one based on solving problems with software. They explore today's emerging network programmability and automation ecosystem; introduce each leading programmable interface; and review the protocols, tools, techniques, and technologies that underlie network programmability. You'll master key concepts through hands-on examples you can run using Linux, Python, Cisco DevNet sandboxes, and other easily accessible tools. This guide is for all network architects, engineers, operations, and software professionals who want to integrate programmability into their networks. It offers valuable background for Cisco DevNet certification—and skills you can use with any platform, whether you have software development experience or not. Master core concepts and explore the network programmability stack Manage network software and run automation scripts in Linux environments Solve real problems with Python and its Napalm and Nornir automation frameworks Make the most of the HTTP protocol, REST architectural framework, and SSH Encode your data with XML, JSON, or YAML Understand and build data models using YANG that offer a foundation for model-based network programming Leverage modern network management protocols, from gRPC and gNMI to NETCONF and RESTCONF Meet stringent service provider KPIs in large-scale, fast-changing networks Program Cisco devices running IOS XE, IOS XR, and NX-OS as well as Meraki, DNA Center, and Webex platforms Program non-Cisco platforms such as Cumulus Linux and Arista EOS Go from “zero to hero” with Ansible network automation Plan your next steps with more advanced tools and technologies
Download or read book Transformation Literacy written by Petra Künkel and published by Springer. This book was released on 2022-03-03 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book brings science and practice together and inspires a global movement towards co-creating regenerative civilizations that work for 100% of humanity and the Earth as a whole. With its conceptual foundation of the concept of transformation literacy it enhances the knowledge and capacity of decision-makers, change agents and institutional actors to steward transformations effectively across institutions, societal sectors and nations. Humanity is at crossroads. Resource depletion and exponential emissions that not only cause climate change, but endanger the health of people and planet, call for a decisive turnaround of human civilization. A new and transformative paradigm is emerging that advocates for regenerative civilizations, in which a narrative of systemic health as much as individual and collective vitality guide the interaction of socio-economic-ecological systems. Truly transformative change must go far beyond technical solutions, and instead envision what can be termed ‘a new operating system’ that helps humankind to live well within the planetary boundaries and partner with life’s evolutionary processes. This requires transformations at three different levels: · Mindsets that reconnect with a worldview in which human agency acknowledges its co-evolutionary pathways with each other and the Earth. · Political, social and economic systems that are regenerative and foster the care-taking for Earth life support systems. · Competencies to design and implement effective large-scale transformative change processes at multiple levels with multiple stakeholders. This book provides key ingredients for enhancing transformation literacy from various perspectives around the globe. It connects the emerging practice of stewarding transformative change across business, government institutions and civil society actors with the most promising scientific models and concepts that underpin human action to shape the future collectively in accordance with planetary needs.
Download or read book Large Scale Networks written by Francis T. Boesch and published by . This book was released on 1976-03-01 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Large Scale Networks written by Francis T. Boesch and published by . This book was released on 1976-01 with total page 2484 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computational Aspects and Applications in Large Scale Networks written by Valery A. Kalyagin and published by Springer. This book was released on 2018-08-24 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. This proceeding is a result of the 7th International Conference in Network Analysis, held at the Higher School of Economics, Nizhny Novgorod in June 2017. The conference brought together scientists, engineers, and researchers from academia, industry, and government.
Download or read book Large Scale Distributed Computing and Applications Models and Trends written by Cristea, Valentin and published by IGI Global. This book was released on 2010-05-31 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many applications follow the distributed computing paradigm, in which parts of the application are executed on different network-interconnected computers. The extension of these applications in terms of number of users or size has led to an unprecedented increase in the scale of the infrastructure that supports them. Large-Scale Distributed Computing and Applications: Models and Trends offers a coherent and realistic image of today's research results in large scale distributed systems, explains state-of-the-art technological solutions for the main issues regarding large scale distributed systems, and presents the benefits of using large scale distributed systems and the development process of scientific and commercial distributed applications.
Download or read book Scale Free Networks written by Guido Caldarelli and published by OUP Oxford. This book was released on 2007-05-03 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: A variety of different social, natural and technological systems can be described by the same mathematical framework. This holds from the Internet to food webs and to boards of company directors. In all these situations a graph of the elements of the system and their interconnections displays a universal feature. There are only few elements with many connections, and many elements with few connections. This book presents the experimental evidence of these "Scale-free networks" and provides students and researchers with a corpus of theoretical results and algorithms to analyse and understand these features. The content of this book and the exposition makes it a clear textbook for beginners, and a reference book for the experts.
Download or read book Tensor Networks for Dimensionality Reduction and Large Scale Optimization written by Andrzej Cichocki and published by . This book was released on 2017-05-28 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph builds on Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions by discussing tensor network models for super-compressed higher-order representation of data/parameters and cost functions, together with an outline of their applications in machine learning and data analytics. A particular emphasis is on elucidating, through graphical illustrations, that by virtue of the underlying low-rank tensor approximations and sophisticated contractions of core tensors, tensor networks have the ability to perform distributed computations on otherwise prohibitively large volume of data/parameters, thereby alleviating the curse of dimensionality. The usefulness of this concept is illustrated over a number of applied areas, including generalized regression and classification, generalized eigenvalue decomposition and in the optimization of deep neural networks. The monograph focuses on tensor train (TT) and Hierarchical Tucker (HT) decompositions and their extensions, and on demonstrating the ability of tensor networks to provide scalable solutions for a variety of otherwise intractable large-scale optimization problems. Tensor Networks for Dimensionality Reduction and Large-scale Optimization Parts 1 and 2 can be used as stand-alone texts, or together as a comprehensive review of the exciting field of low-rank tensor networks and tensor decompositions. See also: Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. ISBN 978-1-68083-222-8
Download or read book Impact Networks written by David Ehrlichman and published by Berrett-Koehler Publishers. This book was released on 2021-10-12 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical guide shows how to facilitate collaboration among diverse individuals and organizations to navigate complexity and create change in our interconnected world. The social and environmental challenges we face today are not only complex, they are also systemic and structural and have no obvious solutions. They require diverse combinations of people, organizations, and sectors to coordinate actions and work together even when the way forward is unclear. Even so, collaborative efforts often fail because they attempt to navigate complexity with traditional strategic plans, created by hierarchies that ignore the way people naturally connect. By embracing a living-systems approach to organizing, impact networks bring people together to build relationships across boundaries; leverage the existing work, skills, and motivations of the group; and make progress amid unpredictable and ever-changing conditions. As a powerful and flexible organizing system that can span regions, organizations, and silos of all kinds, impact networks underlie some of the most impressive and large-scale efforts to create change across the globe. David Ehrlichman draws on his experience as a network builder; interviews with dozens of network leaders; and insights from the fields of network science, community building, and systems thinking to provide a clear process for creating and developing impact networks. Given the increasing complexity of our society and the issues we face, our ability to form, grow, and work through networks has never been more essential.
