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Chu T: Software-Defined Infrastructure

Software-Defined Infrastructure

A Novel Concept of Advanced Network 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

Disaster Management embarks on a comprehensive exploration of proactive approaches to confronting the ever-growing challenges posed by natural and man-made disasters. Drawing on a wealth of interdisciplinary research and practical expertise, this book delves into the core principles of disaster management, offering a roadmap for communities, governments and organizations to enhance their preparedness and mitigation strategies. From risk assessment and early warning systems, to community engagement and infrastructure resilience, each chapter provides actionable insights and case studies that illuminate the path towards building robust resilience frameworks. With a keen focus on adaptability and innovation, this book equips readers with the tools necessary to navigate the complexities of today's dynamic world, fostering a culture of preparedness that can mitigate the impact of disasters and safeguard lives and livelihoods.

Preparedness and Mitigation

Disaster Management

This book covers:

¿ Decentralization of the Banks

¿ Banking without Banks

¿ 5G will change Bank Industry

¿ BlockChain adoption by the Banking industry

¿ Modern Banking Industry

5G and Next-Gen Consumer Banking Services

Smart Technologies for Water Engineering & Sustainability

This edited volume presents a comprehensive exploration of smart and sustainable water management, combining urban hydrology, digital innovation, cybersecurity, and climate resilience. It covers rainwater harvesting, stormwater control, wastewater management, wetlands, aquifer recharge, and field-based environmental investigations alongside advanced themes such as IoT-enabled monitoring, AI-driven predictive modelling, blockchain governance, homomorphic encryption, and SCADA security. Blending practical case studies with emerging technologies, the book offers a multidisciplinary resource that connects engineering, data science, policy, and environmental management within a single reference framework.The book integrates traditional water management practices with cutting-edge tools, including smart sensors, machine learning, MNDWI-based impact assessment, bioimpedance water quality systems, and blockchain-enabled governance. Dedicated chapters address cybersecurity risks in water infrastructure and privacy-preserving IoT architectures. Real-world field studies from India provide applied insights, while predictive analytics and climate-resilient strategies support forward planning. Readers gain technical depth, implementation perspectives, and policy alignment guidance in one cohesive volume.This book is designed for environmental engineers, urban planners, water utility professionals, cybersecurity specialists, policymakers, researchers, and postgraduate students in civil engineering, data science, environmental studies, and smart infrastructure domains. It also supports smart city teams and sustainability practitioners seeking integrated digital water solutions.

Smart Technologies for Water Sustainability and Policy

The use of bioreactors in food ingredient production has expanded rapidly in recent years. These processes create a controlled environment that is tailored to the specific needs of each microorganism, while also minimizing their environmental impact. However, to optimize the implementation of these processes, it is necessary to master a number of scientific concepts relating to material and heat balances, thermodynamics, microbial kinetics, extrapolation and agitation techniques, as well as the techno-economic analysis of processes. This book aims to provide an exhaustive and precise presentation of all of these concepts, making them accessible to students, researchers and professionals alike. Bioreactor Implementation in the Agro-Food Industries is structured in two complementary parts. The first part outlines the essential principles of bioreactor engineering. This knowledge is essential if we are to master the biological and physico-chemical processes that take place in bioreactors. The second part presents practical examples of the use of bioreactors for the production of several ingredients and metabolites of interest.

Technology, Kinetics and Modelization

Bioreactor Implementation in the Agro-Food Industries

The book 'Aspects Of Quality Management In Value Creating In The Industry 5.0 Way' focuses on the challenges that companies in the field of quality management in Industry 5.0 face, particularly in relation to client value aspects.

Aspects of Quality Management in Value Creating in the Industry 5.0 Way

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

Learn How to Make Wireless Work Wi-Fi, Bluetooth, and LoRa are technologies that power our world, but building with them isn’t always straightforward. Connections drop, tutorials skip steps, and error messages don’t always help resolve problems. Through a series of hands-on projects using Raspberry Pi and Linux, you’ll learn how wireless systems work, how to control them, and how to build tools that actually function in the real world. Each recipe is self-contained, reliable, and ready to adapt for your own projects. Among the book’s many projects, you’ll build: <ul><li>A BLE audio receiver for high-quality wireless sound</li><li>A battery-powered LoRa node with miles of range</li><li>A mesh Wi-Fi network that reroutes itself</li><li>A signal strength display with a mini TFT screen</li><li>A wireless intrusion detection system and captive portal</li></ul> Along the way, you’ll build a solid foundation in Linux networking, gain fluency in wireless protocols like 802.11, BLE, and LoRaWAN, and develop the confidence to design and deploy your own solutions. Each recipe is built around a wireless challenge you’re likely to encounter and gives you the tools to solve it. It’s wireless. It’s Linux. And with this book, it finally makes sense.

Build Real Projects and Master Wi-Fi, Bluetooth, and LoRa

The Wireless Cookbook

In this particular book, we actually take the good side of Gen AI, provide an overview as to how it can be used to help combat Cyberbullying.

Generative AI and Cyberbullying

Cyber CISO Marksmanship is the only book of its kind authored by multiple highly experienced individuals to collectively bring together the "best of the best" on what works and what doesn't, as a CISO, in a unique storytelling format.

Hitting the Mark in Cybersecurity Leadership

Cyber CISO Marksmanship

'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

For readers of Naomi Klein and Nicole Perlroth, a myth-dissolving exposé of how artificial intelligence exploits human labor, and a resounding argument for a more equitable digital future.

The Hidden Human Labor Powering A.I

Feeding the Machine

Current climate change and global warming clearly reflect the fragile state of environment. The rising demand by the ever-increasing population has resulted in high industrial and urban activities which have resulted in pollution and deterioration of the environment. Industrial and agricultural activities discharge waste consisting of different types of toxic pollutants to the environment without any prior processing. These pollutants are highly toxic and can initiate severe health issues among humans. The overburden of pollution has unchecked the environment self-restoration and rejuvenation potential. Therefore, it is crucial to address the problem environmental pollution and to treat it timely, before it is too late. Green treatment methods for managing and removing environmental pollution are the only desirable option to attain a healthy environment without further damaging it. Phytoremediation is one such method that aid in removal, degradation or immobilization of environmental pollutants with the help of different types of plants and associated microorganisms through their complex interaction. Plants have versatile metabolism and have potential to adapt to various toxic pollutants upon exposure. Thus, phytoremediation can be applied to treat heavy metal, xenobiotics, organic compounds and even radioactive substances. Phytoremediation treat pollutants by means of phytoaccumulation, phytodegradation, phytovolatilization, rhizodegradation, rhizofiltration, phytostabilization, phytoextraction etc. Plant uptake and bioaccumulate contaminants in their root, shoot and leaves which can be harvested for recycling and safe disposal of contaminants. Moreover, the rate of phytoremediation treatment is linked to factors such as plant selection, soil conditions, contaminant concentration, site-specific characteristics etc. Constructed Wetland System (CWS) is a plant-based treatment method which can be utilized for the treatment of domestic wastewater, sewage, industrial wastewater etc. Plant/s in CWS can be chosen as per the requirement to specifically target particular pollutants or a plethora of pollutants present in wastewater. Phytoremediation being environmentally benign, economic and effective in removal of pollutants can be employed for environmental pollution control and treatment. Advancement in the field can help to cover more diverse pollutant sites, enhance the understanding of plant microbe interactions, and optimize phytoremediation strategies to further expand its applications. With in-depth knowledge and application technology, phytoremediation can significantly restore and preserve contaminated ecosystems.

Phytoremediation: Green Solution to Pollution

Software-Defined Infrastructure

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