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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

Notes On Motor Carriages: With Hints for Purchasers and Users

Smart Technologies for Water Engineering & Sustainability

This book aims to explore multidisciplinary perspectives on how AI can support innovation in water engineering and climate adaptation strategies. It brings together contributions from experts in environmental science, hydrology, data science, and sustainability studies to showcase state-of-the-art applications, identify limitations, and envision future directions where AI becomes a cornerstone of water resilience and climate-smart planning. Water is one of the most critical resources for life, economic development, and environmental balance. However, increasing pressures from climate change, population growth, and urbanization are making water management more complex, uncertain, and fragile. In this context, Artificial Intelligence (AI) has emerged as a powerful technological ally, capable of transforming how we model, manage, and preserve water resources. The book aims to bridge the gap between data science, engineering, and policymaking by showcasing innovative AI-driven solutions that address water-related challenges in the context of global sustainability goals. This book can serve as a valuable resource for students interested in artificial intelligence, environmental engineering, climate science, and sustainable development. Additionally, it can be a key reference for researchers and academics as it compiles the latest advancements and interdisciplinary approaches in these fields.

A Socioeconomic Perspective

Artificial Intelligence for Sustainable Water Engineering

Security Management of Radioactive Material in Use and Storage and of Associated Facilities (French Edition)

Freight Rates; Official Classification Territory and Eastern Canada

'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

Annual Report of the Agricultural Experiment Station of the University of Minnesota, Issues 73-76

Object Lessons

Microphone

Relazione Sulla Cultura Dei Cotoni in Italia: Seguita Da Una Monografia Del Genere Gossypium

The Transactions of the New Hampshire State Agricultural Society offers a detailed look at the latest agricultural techniques and developments of the mid-19th century. Covering everything from new crop varieties to advanced machinery, the book is a valuable resource for farmers and agricultural researchers. A fascinating glimpse into the history of farming in America.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it.This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Transactions of the New Hampshire State Agricultural Society

Intelligent Urban Infrastructure: Smart Solutions for Sustainable Cities explores how emerging digital technologies are reshaping the design, management, and sustainability of modern cities. This comprehensive book examines the integration of Artificial Intelligence (AI), Internet of Things (IoT), data analytics, and intelligent automation into critical urban systems such as transportation, energy, water management, healthcare, and public safety. It presents a forward-looking perspective on how infrastructure can evolve to become more adaptive, resilient, and environmentally responsible. The book highlights practical frameworks and technology-driven content that demonstrate measurable improvements in efficiency, cost optimization, and environmental performance. Designed for researchers, postgraduate students, urban planners, engineers, policymakers, and industry professionals, this book serves as a valuable reference for those seeking to understand and implement intelligent infrastructure solutions that enable smarter, greener, and more livable cities worldwide.

Smart Solutions for Sustainable Cities

Intelligent Urban Infrastructure

Bulletin, Issues 58-95

Live Articles On Special Hazards: A Series of Articles Reprinted From the Monthly Fire Insurance Supplement of the Weekly Underwriter ...; Volume 6

Software-Defined Infrastructure

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