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Chu T: Software-Defined Infrastructure

Software-Defined Infrastructure

Preface ix List of Acronyms xiii Introduction xvii Chapter 1 Healthcare Internet of Things: The State of the Art 1 1.1 H-IoT network landscape 2 1.2 Technology emergence in H-IoT 10 1.2.1 Edge computing in H-IoT 12 1.2.2 Software-defined network in H-IoT 16 1.3. Learned lessons and neglected opportunities 28 1.3.1 Learned lessons 28 1.3.2 Neglected opportunities 37 1.4 Conclusion 38 Chapter 2. A Novel Network Infrastructure Concept 39 2.1 Introduction 39 2.2 Related work 44 2.2.1 Software-defined network 45 2.2.2 5G novel network perspective 45 2.2.3 Software-defined infrastructure 46 2.2.4 Software-defined vehicular network 47 2.2.5 Software-defined unmanned aerial vehicular network 48 2.2.6 Other potential software-defined hardware blocks 49 2.3 The evolution of SDI 50 2.3.1 Research gap 50 2.3.2 SDI extension 51 2.3.3 Proposal of our architecture 52 2.3.4 Suggested technology adjustments 54 2.3.5 Prospective interaction within the SDI ecosystem 56 2.3.6 Software-defined infrastructure's benefit recap 57 2.4 Unified functional model formalization 58 2.4.1 Description of the model 58 2.4.2 Structure of the model 59 2.5 Description of the experiments 64 2.5.1 Implementation details 66 2.5.2 Approach 1: opportunistic coverage enhancement 71 2.5.3 Approach 2: connection recovery 72 2.5.4 Approach 3: self-assisted coverage deployment and data transportation 74 2.5.5 Approach 4: priority orchestration in high-density network 76 2.6 Improvement evaluation approaches 78 2.6.1 Opportunistic coverage enhancement 78 2.6.2 Connection recovery 80 2.6.3 Self-assisted coverage deployment and data transportation 82 2.6.4 Priority orchestration in high-density network 83 2.7 Conclusion 86 Chapter 3 SMART Connection Migration 89 3.1 Introduction 89 3.2 Related work 92 3.2.1 Virtual machine migration 93 3.2.2 Container migration 93 3.2.3 TCP-based connection migration 94 3.2.4 QUIC-based connection migration 95 3.2.5 Motivation 96 3.3 Solution design 97 3.3.1 Sequence diagram comparison 97 3.3.2 System design 98 3.3.3 Prospective impact 99 3.4 Performance evaluation 100 3.4.1 Experimental environment 100 3.4.2 Experiment scenario 101 3.4.3 Influence of delay on the connection migration process 103 3.4.4 The influence of migration frequency on the connection migration time 103 3.5 Conclusion 104 Chapter 4 Generic Adaptive Deep Learning-based Multipath Scheduler Selector 107 4.1 Introduction 107 4.2 Related work 110 4.2.1 Multipath transport protocols 110 4.2.2 Multipath scheduling algorithms 111 4.2.3 Multipath scheduling performance over heterogeneous paths 113 4.3 Prototype design 114 4.3.1 Scheduler selector paradigm 114 4.3.2 Prototype design 115 4.4 Simulated evaluation 117 4.4.1 Experiment setup 117 4.4.2 Initial dataset analysis 119 4.4.3 Traditional machine learning's performance evaluation 121 4.4.4 Deep learning's performance evaluation 123 4.5 Practical evaluation 125 4.5.1 Brief overview of GADaM 125 4.5.2 Extensible modular scheduler evaluating framework 128 4.5.3 Experiment environment 129 4.5.4 Trial run 132 4.5.5 Actual run 136 4.5.6 In-house static environment 138 4.5.7 Metro line environment 139 4.5.8 In-vehicle environment 140 4.6 Limitations 143 4.7 Conclusion 145 Conclusions and Perspectives 147 References 151 Index 171

Artificial intelligence (AI) and the Internet of Things (IoT) are transforming the way geotechnical engineers monitor, analyze, and manage soil¿structure systems. Applications of AI and IoT in Geotechnical Engineering for Sustainable Infrastructure explores how these emerging digital technologies can enhance decision¿making, improve infrastructure resilience, and support sustainable development in civil engineering projects. It examines the integration of AI and IoT in geotechnical engineering, including slope stability assessments, datädriven techniques for soil classification and characterization, foundation and liquefaction analysis, optimizing earthwork practices and operations, tunnels, and earth¿retaining structures using real¿time sensor networks and datädriven models. This book also discusses machine learning techniques for predicting soil behavior, real¿time monitoring of pile foundations, automated site investigation methods, and digital tools for risk assessment and infrastructure health monitoring/assessment.This book is intended for researchers, graduate students, and practicing engineers in geotechnical and civil engineering. It will also benefit professionals working in smart infrastructure, disaster risk reduction, and infrastructure asset management who are interested in integrating digital technologies into sustainable engineering practice.

Applications of AI and IoT in Geotechnical Engineering for Sustainable Infrastructure

Traité De La Culture Des Terres; Volume 5

Detailed, practical guidance for implementing IoT cellular network connectivity solutions for software developers and electrical engineers, and project managers. Focusing exclusively on using cellular connectivity for IoT devices, Cellular IoT presents a flexible approach, using algorithms and software designs, to drastically reduce the complexity of interacting with a wide variety of Cellular Communication Modules (CCMs) which lie at the heart of cellular modems. Written in an accessible style, this book is one of the first to cover all practical aspects of cellular network connectivity, from network and SIM selection through to custom algorithms for detecting and recovering from a wide variety of connectivity problems, and an innovative approach to reliably manage AT commands in modern cellular modems. This book explains the factors related to establishing and maintaining cellular connectivity including geography and topology, population density, SIM card (and connectivity provider) selection, antenna choice and placement, and CCM selection. The book also provides detailed examples and troubleshooting advice, showing how to transfer data using low-level sockets and also using a high-level protocol (HTTP), creating a brief, temporary connection for a primitive IoT device to send a small amount of data, and also establishing and maintaining a continuous cellular connection with full Internet access on powerful IoT devices running Linux. Written by an author with considerable professional expertise and experience with cellular connectivity, Cellular IoT includes information on: <ul><li>Platforms, tools, and debugging, covering tool-chain selection, computing/OS platforms, programming language choices, and running IoT connectivity code in a debugger</li><li>Cellular network basics, covering base stations, range, cell towers, tracking areas and paging, frequency and modulation, bandwidth and latency, frequency bands, and SIM cards</li><li>Similarities and differences across CCMs, frequency, band, Radio Access Technology (RAT), protocol and data representation, selection and consequences</li><li>Low-level communication protocols including transmission control protocol (TCP), user datagram protocol (UDP), point-to-point protocol (PPP), and custom hybrids for cellular IoT</li><li>Full coverage of SMS, GNSS (available in most CCMs), obtaining precise time, and utilizing the power saving functionality of Extended Discontinuous Reception (eDRX) and Power Saving Mode (PSM) available in NB-IoT, LTE Cat M and LTE Cat 1 bis CCMs</li><li>Entirely new and innovative software approach, Command Independent Processing (CIP), to systematically manage and execute AT commands across families of CCMs and integrating standardized (3GPP) AT commands with vendor specific ones to achieve greater software portability across CCMs</li></ul> Cellular IoT is an essential resource for software developers, hardware engineers, and project managers seeking to avoid connectivity pitfalls and be better able to diagnose and resolve newly encountered challenges in the field while drastically reducing the time required to produce reliable, IoT connectivity solutions.

A Practical Guide for Software Developers, Electrical Engineers, and Project Managers

Cellular IoT

Bulletin, Issues 58-95

Beyond enabling ultra-fast data transmission, 5G and next-generation networks represent a fundamental transformation in how individuals and organizations connect and interact. The success of these future networks is of interest not just to telecom operators but also to a broader ecosystem--including OTT (over-the-top) service providers, cloud platforms, system integrators, and infrastructure companies. This expanding stakeholder landscape calls for a re-evaluation of conventional telecom regulation in favor of a more adaptable and inclusive framework. 5G and Beyond: Rewiring Telecom Regulation critically examines India's current licensing regime through the lenses of functional separation, diagonal equity, and digital neutrality. Prasad and Sridhar express concern over the growing influence of certain OTT players and argue for regulatory reforms that ensure fairness and flexibility across diverse network services. Core regulatory principles--such as interconnection, spectrum management, net neutrality, and universal access--are revisited in the light of evolving technologies and market dynamics. The authors also explore how their proposed licensing and regulatory framework could be applied to telecom markets beyond India's borders.

Rewiring Telecom Regulation

5G and Beyond

Some Remarks On Lancashire Farming, and On Various Subjects Connected With the Agriculture of the Country: With a Few Suggestions for Remedying Some o

For Better Crops in the South

IEEE Press

An up-to-date and comprehensive guide to mobile edge computing and communications Mobile Edge Computing and Communications offers a practical guide to mobile edge computing and communications (MEC). With contributions from noted experts on the topic, the book covers the design, deployment, and operational aspects of this rapidly growing domain. The text provides the information needed to understand the mainstream system architectures and integration methods that have been proposed in MEC. In addition, the book clearly illustrates critical lifecycle functions and stages of MEC, and shows how to deploy MEC in 5G and beyond mobile networks. Comprehensive in scope, the book contains discussions on the challenges and opportunities of mobile edge computing and communications concepts combined with the most relevant emerging applications and services. The authors provide insights for all relative stakeholders of mobile networks such as mobile network operators. This important book: <ul><li>Provides a comprehensive walkthrough of mobile edge computing and communications </li><li>Includes detailed analysis of current edge applications and technology foundation</li><li>Presents information on driving forces and future directions of MEC</li><li>Provides an authentic source of information from industry experts to drive the future of computing</li></ul> Written for mobile network operators, ICT service developers, academic researchers, undergraduate and graduate students, Mobile Edge Computing and Communications offers a guide to the current and future of MEC that will enable a completely new paradigm for future computing and communications.

Driving Forces, Technology Foundation, and Application Areas

Mobile Edge Computing and Communications

A central theme of industrialization is the high energy consumption levels, initially entirely on fossil fuel and now transitioning to a more varied energy mix. This book examines past and current energy statistics, its impact on climate, and plausible options in future energy innovation and renewable energy 50 years down the road. Complex issues are unfolded from technical fundamentals to answer important questions such as if climate change is real, the energy availability, affordability, and needed science and technology innovation to address these issues. It is an essential resource to policymakers, government program managers, entrepreneurs, investors, philanthropists, scientists, engineers, researchers, professors, college students, and anyone who would like to have a general understanding of the subject or is considering getting into the field. In short, the book's foundation is technical; however, interesting narratives on backgrounds, scientific basis, case studies, and realistic roadmap are provided in several key areas with overview and references. <ul> <li> Big picture of the energy portfolio, state of technology, and understanding of environmental impact; </li> </ul> <ul> <li> Unique insights from the author's own research and ideas to obtain a proper assessment of the feasibility of renewable energy or chemical technology innovation; </li> </ul> <ul> <li> Balance overview for general readers and technical content with examples of innovative out-of-the-box thinking related to energy, science, technology, and the environment. </li> </ul>

A Technical Assessment of Energy Innovation and Renewable Future

Energy, Innovation and Environment

'Highly readable' Financial Times From the boardrooms to the court rooms, this is the gripping story of how Apple became the world's most valuable company, and of the lawmakers and entrepreneurs determined to knock it off its pedestal. Since the invention of the iPhone and App Store, Apple has built a near unassailable market power, controlling not only commerce, but also culture, and - increasingly - the flow of ideas. In response, a loose rebel alliance of tech entrepreneurs has formed to lay siege to Apple, bringing together Epic Games' Tim Sweeney, Spotify's Daniel Ek, X's Elon Musk and WeChat's Pony Ma. In the trenches of popular opinion and now in the courtrooms of Europe and the United States, this rebellion aims to tear down Apple's walls and dismantle its alleged monopoly. iWar weaves together the story of Apple's rise and reign with the political and international forces arrayed against it in the fight over control of the global digital economy. The stakes couldn't be higher.

Fortnite, Musk, Spotify, and the Siege of Apple

iWar

Bulletin, Issues 27-37

Smart manufacturing technologies - from advanced sensors to new computing capabilities - have the potential to greatly improve the productivity, energy efficiency, and sustainability of the U.S. manufacturing sector. Successfully implementing these technologies is essential for ensuring U.S. competitiveness and providing new job opportunities for the U.S. workforce. Options for a National Plan for Smart Manufacturing explores promising technologies transforming the manufacturing sector and identifies the research and resources needed to accelerate smart manufacturing adoption industry wide. This report also identifies critical needs for education and workforce development for smart manufacturing and makes actionable recommendations to support and train the next-generation manufacturing workforce.

Options for a National Plan for Smart Manufacturing

Software-Defined Infrastructure

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