Intelligent Workloads At The Edge

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Intelligent Workloads at the Edge

Indraneel Mitra,Ryan Burke
Intelligent Workloads at the Edge Book PDF

Author : Indraneel Mitra,Ryan Burke
Publisher : Packt Publishing Ltd
Page : 374 pages
File Size : 50,7 Mb
Release : 2022-01-14
Category : Computers
ISBN : 9781801818872

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Intelligent Workloads at the Edge by Indraneel Mitra,Ryan Burke Pdf

Explore IoT, data analytics, and machine learning to solve cyber-physical problems using the latest capabilities of managed services such as AWS IoT Greengrass and Amazon SageMaker Key FeaturesAccelerate your next edge-focused product development with the power of AWS IoT GreengrassDevelop proficiency in architecting resilient solutions for the edge with proven best practicesHarness the power of analytics and machine learning for solving cyber-physical problemsBook Description The Internet of Things (IoT) has transformed how people think about and interact with the world. The ubiquitous deployment of sensors around us makes it possible to study the world at any level of accuracy and enable data-driven decision-making anywhere. Data analytics and machine learning (ML) powered by elastic cloud computing have accelerated our ability to understand and analyze the huge amount of data generated by IoT. Now, edge computing has brought information technologies closer to the data source to lower latency and reduce costs. This book will teach you how to combine the technologies of edge computing, data analytics, and ML to deliver next-generation cyber-physical outcomes. You'll begin by discovering how to create software applications that run on edge devices with AWS IoT Greengrass. As you advance, you'll learn how to process and stream IoT data from the edge to the cloud and use it to train ML models using Amazon SageMaker. The book also shows you how to train these models and run them at the edge for optimized performance, cost savings, and data compliance. By the end of this IoT book, you'll be able to scope your own IoT workloads, bring the power of ML to the edge, and operate those workloads in a production setting. What you will learnBuild an end-to-end IoT solution from the edge to the cloudDesign and deploy multi-faceted intelligent solutions on the edgeProcess data at the edge through analytics and MLPackage and optimize models for the edge using Amazon SageMakerImplement MLOps and DevOps for operating an edge-based solutionOnboard and manage fleets of edge devices at scaleReview edge-based workloads against industry best practicesWho this book is for This book is for IoT architects and software engineers responsible for delivering analytical and machine learning–backed software solutions to the edge. AWS customers who want to learn and build IoT solutions will find this book useful. Intermediate-level experience with running Python software on Linux is required to make the most of this book.

Applied Edge AI

Pethuru Raj,G. Nagarajan,R.I. Minu
Applied Edge AI Book PDF

Author : Pethuru Raj,G. Nagarajan,R.I. Minu
Publisher : CRC Press
Page : 334 pages
File Size : 46,9 Mb
Release : 2022-04-06
Category : Computers
ISBN : 9781000552690

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Applied Edge AI by Pethuru Raj,G. Nagarajan,R.I. Minu Pdf

The strategically sound combination of edge computing and artificial intelligence (AI) results in a series of distinct innovations and disruptions enabling worldwide enterprises to visualize and realize next-generation software products, solutions and services. Businesses, individuals, and innovators are all set to embrace and experience the sophisticated capabilities of Edge AI. With the faster maturity and stability of Edge AI technologies and tools, the world is destined to have a dazzling array of edge-native, people-centric, event-driven, real-time, service-oriented, process-aware, and insights-filled services. Further on, business workloads and IT services will become competent and cognitive with state-of-the-art Edge AI infrastructure modules, AI algorithms and models, enabling frameworks, integrated platforms, accelerators, high-performance processors, etc. The Edge AI paradigm will help enterprises evolve into real-time and intelligent digital organizations. Applied Edge AI: Concepts, Platforms, and Industry Use Cases focuses on the technologies, processes, systems, and applications that are driving this evolution. It examines the implementation technologies; the products, processes, platforms, patterns, and practices; and use cases. AI-enabled chips are exclusively used in edge devices to accelerate intelligent processing at the edge. This book examines AI toolkits and platforms for facilitating edge intelligence. It also covers chips, algorithms, and tools to implement Edge AI, as well as use cases. FEATURES The opportunities and benefits of intelligent edge computing Edge architecture and infrastructure AI-enhanced analytics in an edge environment Encryption for securing information An Edge AI system programmed with Tiny Machine learning algorithms for decision making An improved edge paradigm for addressing the big data movement in IoT implementations by integrating AI and caching to the edge Ambient intelligence in healthcare services and in development of consumer electronic systems Smart manufacturing of unmanned aerial vehicles (UAVs) AI, edge computing, and blockchain in systems for environmental protection Case studies presenting the potential of leveraging AI in 5G wireless communication

Understanding Infrastructure Edge Computing

Alex Marcham
Understanding Infrastructure Edge Computing Book PDF

Author : Alex Marcham
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 40,5 Mb
Release : 2021-04-27
Category : Computers
ISBN : 9781119763246

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Understanding Infrastructure Edge Computing by Alex Marcham Pdf

UNDERSTANDING INFRASTRUCTURE EDGE COMPUTING A comprehensive review of the key emerging technologies that will directly impact areas of computer technology over the next five years Infrastructure edge computing is the model of data center and network infrastructure deployment which distributes a large number of physically small data centers around an area to deliver better performance and to enable new economical applications. It is vital for those operating at business or technical levels to be positioned to capitalize on the changes that will occur as a result of infrastructure edge computing. This book provides a thorough understanding of the growth of internet infrastructure from its inception to the emergence of infrastructure edge computing. Author Alex Marcham, an acknowledged leader in the field who coined the term ‘infrastructure edge computing,’ presents an accessible, accurate, and expansive view of the next generation of internet infrastructure. The book features illustrative examples of 5G mobile cellular networks, city-scale AI systems, self-driving cars, drones, industrial robots, and more—technologies that increase efficiency, save time and money, and improve safety. Covering state-of-the-art topics, this timely and authoritative book: Presents a clear and accurate survey of the key emerging technologies that will impact data centers, 5G networks, artificial intelligence and cyber-physical systems, and other areas of computer technology Explores how and why Internet infrastructure has evolved to where it stands today and where it needs to be in the near future Covers a wide range of topics including distributed application workload operation, infrastructure and application security, and related technologies such as multi-access edge computing (MEC) and fog computing Provides numerous use cases and examples of real-world applications which depend upon underlying edge infrastructure Written for Information Technology practitioners, computer technology practitioners, and students, Understanding Infrastructure Edge Computing is essential reading for those looking to benefit from the coming changes in computer technology.

Edge Computing: A Primer

Jie Cao,Quan Zhang,Weisong Shi
Edge Computing A Primer Book PDF

Author : Jie Cao,Quan Zhang,Weisong Shi
Publisher : Springer
Page : 90 pages
File Size : 46,7 Mb
Release : 2018-11-01
Category : Computers
ISBN : 9783030020835

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Edge Computing: A Primer by Jie Cao,Quan Zhang,Weisong Shi Pdf

The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud. In Edge Computing: A Primer the vision and definition of Edge computing is introduced, as well as several key techniques that enable Edge computing. Then, four applications that benefit from Edge computing are presented as case studies, ranging from smart homes and public safety to medical services, followed by a discussion of several open challenges and opportunities in Edge computing. Finally, several key tools for edge computing such as virtualization and resource management are explained.

Beginning Azure IoT Edge Computing

David Jensen
Beginning Azure IoT Edge Computing Book PDF

Author : David Jensen
Publisher : Apress
Page : 273 pages
File Size : 44,7 Mb
Release : 2019-04-29
Category : Computers
ISBN : 9781484245361

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Beginning Azure IoT Edge Computing by David Jensen Pdf

Use a step-by-step process to create and deploy your first Azure IoT Edge solution. Modern day developers and architects in today’s cloud-focused world must understand when it makes sense to leverage the cloud. Computing on the edge is a new paradigm for most people. The Azure IoT Edge platform uses many existing technologies that may be familiar to developers, but understanding how to leverage those technologies in an edge computing scenario can be challenging. Beginning Azure IoT Edge Computing demystifies computing on the edge and explains, through concrete examples and exercises, how and when to leverage the power of intelligent edge computing. It introduces the possibilities of intelligent edge computing using the Azure IoT Edge platform, and guides you through hands-on exercises to make edge computing approachable, understandable, and highly useful. Through user-friendlydiscussion you will not only understand how to build edge solutions, but also when to build them. By explaining some common solution patterns, the decision on when to use the cloud and when to avoid the cloud will become much clearer. What You'll Learn Create and deploy Azure IoT Edge solutions Recognize when to leverage the intelligent edge pattern and when to avoid it Leverage the available developer tooling to develop and debug IoT Edge solutions Know which off-the-shelf edge computing modules are available Become familiar with some of the lesser-known device protocols used in conjunction with edge computing Understand how to securely deploy and bootstrap an IoT Edge deviceExplore related topics such as containers and secure device provisioning Who This Book Is For Developers or architects who want to understand edge computing and when and where to use it. Readers should be familiar with C# or Python and have a high-level understanding of the Azure IoT platform.

Edge Computational Intelligence for AI-Enabled IoT Systems

Shrikaant Kulkarni,Jaiprakash Dwivedi,Dinda Pramanta,Yuichiro Tanaka
Edge Computational Intelligence for AI Enabled IoT Systems Book PDF

Author : Shrikaant Kulkarni,Jaiprakash Dwivedi,Dinda Pramanta,Yuichiro Tanaka
Publisher : CRC Press
Page : 347 pages
File Size : 43,7 Mb
Release : 2024-02-26
Category : Computers
ISBN : 9781003825128

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Edge Computational Intelligence for AI-Enabled IoT Systems by Shrikaant Kulkarni,Jaiprakash Dwivedi,Dinda Pramanta,Yuichiro Tanaka Pdf

Edge computational intelligence is an interface between edge computing and artificial intelligence (AI) technologies. This interfacing represents a paradigm shift in the world of work by enabling a broad application areas and customer-friendly solutions. Edge computational intelligence technologies are just in their infancy. Edge Computational Intelligence for AI-Enabled IoT Systems looks at the trends and advances in edge computing and edge AI, the services rendered by them, related security and privacy issues, training algorithms, architectures, and sustainable AI-enabled IoT systems. Together, these technologies benefit from ultra-low latency, faster response times, lower bandwidth costs and resilience from network failure, and the book explains the advantages of systems and applications using intelligent IoT devices that are at the edge of a network and close to users. It explains how to make most of edge and cloud computing as complementary technologies or used in isolation for extensive and widespread applications. The advancement in IoT devices, networking facilities, parallel computation and 5G, and robust infrastructure for generalized machine learning have made it possible to employ edge computational intelligence in diverse areas and in diverse ways. The book begins with chapters that cover Edge AI services on offer as compared to conventional systems. These are followed by chapters that discuss security and privacy issues encountered during the implementation and execution of edge AI and computing services The book concludes with chapters looking at applications spread across different areas of edge AI and edge computing and also at the role of computational intelligence in AI-driven IoT systems.

Edge Computing

Fadi Al-Turjman
Edge Computing Book PDF

Author : Fadi Al-Turjman
Publisher : Springer
Page : 188 pages
File Size : 47,7 Mb
Release : 2018-11-09
Category : Technology & Engineering
ISBN : 9783319990613

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Edge Computing by Fadi Al-Turjman Pdf

In this book, contributors provide insights into the latest developments of Edge Computing/Mobile Edge Computing, specifically in terms of communication protocols and related applications and architectures. The book provides help to Edge service providers, Edge service consumers, and Edge service developers interested in getting the latest knowledge in the area. The book includes relevant Edge Computing topics such as applications; architecture; services; inter-operability; data analytics; deployment and service; resource management; simulation and modeling; and security and privacy. Targeted readers include those from varying disciplines who are interested in designing and deploying Edge Computing. Features the latest research related to Edge Computing, from a variety of perspectives; Tackles Edge Computing in academia and industry, featuring a variety of new and innovative operational ideas; Provides a strong foundation for researchers to advance further in the Edge Computing domain.

TinyML for Edge Intelligence in IoT and LPWAN Networks

Bharat S Chaudhari,Sheetal N Ghorpade,Marco Zennaro,Rytis Paškauskas
TinyML for Edge Intelligence in IoT and LPWAN Networks Book PDF

Author : Bharat S Chaudhari,Sheetal N Ghorpade,Marco Zennaro,Rytis Paškauskas
Publisher : Elsevier
Page : 520 pages
File Size : 45,9 Mb
Release : 2024-06-17
Category : Computers
ISBN : 9780443222030

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TinyML for Edge Intelligence in IoT and LPWAN Networks by Bharat S Chaudhari,Sheetal N Ghorpade,Marco Zennaro,Rytis Paškauskas Pdf

Recently, Tiny Machine Learning (TinyML) has gained incredible importance due to its capabilities of creating lightweight machine learning (ML) frameworks aiming at low latency, lower energy consumption, lower bandwidth requirement, improved data security and privacy, and other performance necessities. As billions of battery-operated embedded IoT and low power wide area networks (LPWAN) nodes with very low on-board memory and computational capabilities are getting connected to the Internet each year, there is a critical need to have a special computational framework like TinyML. TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to IoT and LPWANs. It starts by providing the foundations of IoT/LPWANs, low power embedded systems and hardware, the role of artificial intelligence and machine learning in communication networks in general and cloud/edge intelligence. It then presents the concepts, methods, algorithms and tools of TinyML. Practical applications of the use of TinyML are given from health and industrial fields which provide practical guidance on the design of applications and the selection of appropriate technologies. TinyML for Edge Intelligence in IoT and LPWAN Networks is highly suitable for academic researchers and professional system engineers, architects, designers, testers, deployment engineers seeking to design ultra-lower power and time-critical applications. It would also help in designing the networks for emerging and future applications for resource-constrained nodes. This book provides one-stop solutions for emerging TinyML for IoT and LPWAN applications. The principles and methods of TinyML are explained, with a focus on how it can be used for IoT, LPWANs, and 5G applications. Applications from the healthcare and industrial sectors are presented. Guidance on the design of applications and the selection of appropriate technologies is provided.

Advances in Artificial Intelligence and Security

Xingming Sun,Xiaorui Zhang,Zhihua Xia,Elisa Bertino
Advances in Artificial Intelligence and Security Book PDF

Author : Xingming Sun,Xiaorui Zhang,Zhihua Xia,Elisa Bertino
Publisher : Springer Nature
Page : 732 pages
File Size : 55,9 Mb
Release : 2022-07-08
Category : Computers
ISBN : 9783031067617

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Advances in Artificial Intelligence and Security by Xingming Sun,Xiaorui Zhang,Zhihua Xia,Elisa Bertino Pdf

The 3-volume set CCIS 1586, CCIS 1587 and CCIS 1588 constitutes the refereed proceedings of the 8th International Conference on Artificial Intelligence and Security, ICAIS 2022, which was held in Qinghai, China, in July 2022. The total of 115 full papers and 53 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1124 submissions. The papers were organized in topical sections as follows: Part I: artificial intelligence; Part II: artificial intelligence; big data; cloud computing and security; multimedia forensics; Part III: encryption and cybersecurity; information hiding; IoT security.

Edge Computing

K. Anitha Kumari,G. Sudha Sadasivam,D. Dharani,M. Niranjanamurthy
Edge Computing Book PDF

Author : K. Anitha Kumari,G. Sudha Sadasivam,D. Dharani,M. Niranjanamurthy
Publisher : CRC Press
Page : 180 pages
File Size : 43,8 Mb
Release : 2021-11-22
Category : Computers
ISBN : 9781000483598

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Edge Computing by K. Anitha Kumari,G. Sudha Sadasivam,D. Dharani,M. Niranjanamurthy Pdf

This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies. The text provides integration of blockchain with edge computing systems and integration of edge with Internet of Things (IoT) and cloud computing. It will facilitate readers to setup edge-based environment and work with edge analytics. It covers important topics, including cluster computing, fog computing, networking architecture, edge computing simulators, edge analytics, privacy-preserving schemes, edge computing with blockchain, autonomous vehicles, and cross-domain authentication. Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology, this text: Discusses edge data storage security with case studies and blockchain integration with the edge computing system Covers theoretical methods with the help of applications, use cases, case studies, and examples Provides healthcare real-time case studies elaborated by utilizing the virtues of homomorphic encryption Discusses real-time interfaces, devices, and simulators in detail

Advanced Communication and Intelligent Systems

Rabindra Nath Shaw,Marcin Paprzycki,Ankush Ghosh
Advanced Communication and Intelligent Systems Book PDF

Author : Rabindra Nath Shaw,Marcin Paprzycki,Ankush Ghosh
Publisher : Springer Nature
Page : 298 pages
File Size : 46,8 Mb
Release : 2023-10-10
Category : Computers
ISBN : 9783031451249

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Advanced Communication and Intelligent Systems by Rabindra Nath Shaw,Marcin Paprzycki,Ankush Ghosh Pdf

This book constitutes the refereed proceedings of the Second International Conference on Advanced Communication and Intelligent Systems, ICACIS 2023, held in Warsaw, Poland, during June 16–17, 2023 The 43 full papers included in this book were carefully reviewed and selected from 221 submissions. They were organized in topical sections as follows: Wireless Communication, Artificial Intelligence and Machine Learning, Robotics & Automation, Data Science, IoT and Smart Applications

Secure and Intelligent IoT-Enabled Smart Cities

Singh, Sushil Kumar,Tanwar, Sudeep,Jadeja, Rajendrasinh,Singh, Saurabh,Polkowski, Zdzislaw
Secure and Intelligent IoT Enabled Smart Cities Book PDF

Author : Singh, Sushil Kumar,Tanwar, Sudeep,Jadeja, Rajendrasinh,Singh, Saurabh,Polkowski, Zdzislaw
Publisher : IGI Global
Page : 453 pages
File Size : 45,7 Mb
Release : 2024-04-01
Category : Political Science
ISBN : 9798369323748

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Secure and Intelligent IoT-Enabled Smart Cities by Singh, Sushil Kumar,Tanwar, Sudeep,Jadeja, Rajendrasinh,Singh, Saurabh,Polkowski, Zdzislaw Pdf

Smart cities are experiencing a rapid evolution. The integration of technologies such as 5G, Internet of Things (IoT), Artificial Intelligence (AI), and blockchain has ushered in transformative applications, enhancing the quality of urban life. However, this evolution comes with its own challenges, most notably in security and privacy. Secure and Intelligent IoT-Enabled Smart Cities addresses these concerns, exploring theoretical frameworks and empirical research findings. The book embarks on the foundational elements of the Internet of Things, delving into the convergence of IoT and smart city applications, elucidating the layered architecture of IoT, and highlighting the security issues inherent in IoT-enabled Smart Cities. This book pinpoints the challenges smart city infrastructures face and offers innovative and pragmatic solutions to fortify their security. This book targets professionals and researchers immersed in the dynamic field of secure and intelligent environments within IoT-enabled smart city applications. It is a valuable resource for executives grappling with the strategic implications of emerging technologies in smart healthcare, smart parking, smart manufacturing, smart transportation, and beyond.

Edge Computing and Capability-Oriented Architecture

Haishi Bai,Boris Scholl
Edge Computing and Capability Oriented Architecture Book PDF

Author : Haishi Bai,Boris Scholl
Publisher : CRC Press
Page : 177 pages
File Size : 52,9 Mb
Release : 2021-08-15
Category : Computers
ISBN : 9781000416923

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Edge Computing and Capability-Oriented Architecture by Haishi Bai,Boris Scholl Pdf

Fueled by ubiquitous computing ambitions, the edge is at the center of confluence of many emergent technological trends such as hardware-rooted trust and code integrity, 5G, data privacy and sovereignty, blockchains and distributed ledgers, ubiquitous sensors and drones, autonomous systems and real-time stream processing. Hardware and software pattern maturity have reached a tipping point so that scenarios like smart homes, smart factories, smart buildings, smart cities, smart grids, smart cars, smart highways are in reach of becoming a reality. While there is a great desire to bring born-in-the-cloud patterns and technologies such as zero-downtime software and hardware updates/upgrades to the edge, developers and operators alike face a unique set of challenges due to environmental differences such as resource constraints, network availability and heterogeneity of the environment. The first part of the book discusses various edge computing patterns which the authors have observed, and the reasons why these observations have led them to believe that there is a need for a new architectural paradigm for the new problem domain. Edge computing is examined from the app designer and architect’s perspectives. When they design for edge computing, they need a new design language that can help them to express how capabilities are discovered, delivered and consumed, and how to leverage these capabilities regardless of location and network connectivity. Capability-Oriented Architecture is designed to provide a framework for all of these. This book is for everyone who is interested in understanding what ubiquitous and edge computing means, why it is growing in importance and its opportunities to you as a technologist or decision maker. The book covers the broad spectrum of edge environments, their challenges and how you can address them as a developer or an operator. The book concludes with an introduction to a new architectural paradigm called capability-based architecture, which takes into consideration the capabilities provided by an edge environment. .

TinyML Cookbook

Gian Marco Iodice
TinyML Cookbook Book PDF

Author : Gian Marco Iodice
Publisher : Packt Publishing Ltd
Page : 344 pages
File Size : 40,9 Mb
Release : 2022-04-01
Category : Computers
ISBN : 9781801812634

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TinyML Cookbook by Gian Marco Iodice Pdf

Work through over 50 recipes to develop smart applications on Arduino Nano 33 BLE Sense and Raspberry Pi Pico using the power of machine learning Key Features Train and deploy ML models on Arduino Nano 33 BLE Sense and Raspberry Pi Pico Work with different ML frameworks such as TensorFlow Lite for Microcontrollers and Edge Impulse Explore cutting-edge technologies such as microTVM and Arm Ethos-U55 microNPU Book DescriptionThis book explores TinyML, a fast-growing field at the unique intersection of machine learning and embedded systems to make AI ubiquitous with extremely low-powered devices such as microcontrollers. The TinyML Cookbook starts with a practical introduction to this multidisciplinary field to get you up to speed with some of the fundamentals for deploying intelligent applications on Arduino Nano 33 BLE Sense and Raspberry Pi Pico. As you progress, you’ll tackle various problems that you may encounter while prototyping microcontrollers, such as controlling the LED state with GPIO and a push-button, supplying power to microcontrollers with batteries, and more. Next, you’ll cover recipes relating to temperature, humidity, and the three “V” sensors (Voice, Vision, and Vibration) to gain the necessary skills to implement end-to-end smart applications in different scenarios. Later, you’ll learn best practices for building tiny models for memory-constrained microcontrollers. Finally, you’ll explore two of the most recent technologies, microTVM and microNPU that will help you step up your TinyML game. By the end of this book, you’ll be well-versed with best practices and machine learning frameworks to develop ML apps easily on microcontrollers and have a clear understanding of the key aspects to consider during the development phase.What you will learn Understand the relevant microcontroller programming fundamentals Work with real-world sensors such as the microphone, camera, and accelerometer Run on-device machine learning with TensorFlow Lite for Microcontrollers Implement an app that responds to human voice with Edge Impulse Leverage transfer learning to classify indoor rooms with Arduino Nano 33 BLE Sense Create a gesture-recognition app with Raspberry Pi Pico Design a CIFAR-10 model for memory-constrained microcontrollers Run an image classifier on a virtual Arm Ethos-U55 microNPU with microTVM Who this book is for This book is for machine learning developers/engineers interested in developing machine learning applications on microcontrollers through practical examples quickly. Basic familiarity with C/C++, the Python programming language, and the command-line interface (CLI) is required. However, no prior knowledge of microcontrollers is necessary.

Computational Intelligence for Green Cloud Computing and Digital Waste Management

Kumar, K. Dinesh,Varadarajan, Vijayakumar,Nasser, Nidal,Poluru, Ravi Kumar
Computational Intelligence for Green Cloud Computing and Digital Waste Management Book PDF

Author : Kumar, K. Dinesh,Varadarajan, Vijayakumar,Nasser, Nidal,Poluru, Ravi Kumar
Publisher : IGI Global
Page : 426 pages
File Size : 52,9 Mb
Release : 2024-02-27
Category : Computers
ISBN : 9798369315538

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Computational Intelligence for Green Cloud Computing and Digital Waste Management by Kumar, K. Dinesh,Varadarajan, Vijayakumar,Nasser, Nidal,Poluru, Ravi Kumar Pdf

In the digital age, the relentless growth of data centers and cloud computing has given rise to a pressing dilemma. The power consumption of these facilities is spiraling out of control, emitting massive amounts of carbon dioxide, and contributing to the ever-increasing threat of global warming. Studies show that data centers alone are responsible for nearly eighty million metric tons of CO2 emissions worldwide, and this figure is poised to skyrocket to a staggering 8000 TWh by 2030 unless we revolutionize our approach to computing resource management. The root of this problem lies in inefficient resource allocation within cloud environments, as service providers often over-provision computing resources to avoid Service Level Agreement (SLA) violations, leading to both underutilization of resources and a significant increase in energy consumption. Computational Intelligence for Green Cloud Computing and Digital Waste Management stands as a beacon of hope in the face of the environmental and technological challenges we face. It introduces the concept of green computing, dedicated to creating an eco-friendly computing environment. The book explores innovative, intelligent resource management methods that can significantly reduce the power consumption of data centers. From machine learning and deep learning solutions to green virtualization technologies, this comprehensive guide explores innovative approaches to address the pressing challenges of green computing. Whether you are an educator teaching about green computing, an environmentalist seeking sustainability solutions, an industry professional navigating the digital landscape, a resolute researcher, or simply someone intrigued by the intersection of technology and sustainability, this book offers an indispensable resource.