Chapman & Hall/CRC Cloud Computing for Society 5.0 – serie

Digitalization of Higher Education using Cloud Computing: Implications, Risk, and Challenges provides an insight into the latest technology and tools being used to explore learning in Higher Educational Institutions (HEIs). Cloud computing, being an up-and-coming technology, integrates with academia and industry, thereby enhancing the quality of education.The opportunities and challenges faced by HEIs in recent times due to technological disruptions have forced both academia and industry to realign their strategies for survival and growth. With the acceleration of cloud computing in higher education, it has now become imperative for educators to constantly upskill and reskill in order to meet the requirements of the future of work, particularly in the digital age. Technological advancement is an unstoppable wave and the lack of relevant skills to handle the disruptions in higher education will become a huge challenge if not addressed promptly. This is the new phase of Education 4.0 where HEIs are aligning themselves using cloud computing implications, and thus are preparing both faculties and students to embrace the changes happening in the teaching and learning processes.This book focuses on multi-faceted strategies to be adopted by HEIs to deal with the emerging issues related to teaching–learning processes using cloud computing, technological interventions, curriculum overhaul, experiential learning, multi-disciplinary approaches, and continuous innovations and digitalization.The book offers comprehensive coverage of many academic areas, with the most essential topics including:• Pedagogies in digital education using a cloud environment• Risks and challenges in cloud platforms for teaching and learning• Collaborative and group learning in a cloud environment• Enhancing quality of education using e-learning methodologiesThe sections in this book are "Cloud Enabled Digitalization of Higher Education" and "Innovations and Applications of Digitalization of Higher Education: A Cloud Perspective". The book will be useful for undergraduates, graduates, academicians, scholars, and policy makers. It will help readers acquire skills for a smooth transition from face-to-face teaching to cloud-based teaching.

Digitalization of Higher Education using Cloud Computing: Implications, Risk, and Challenges provides an insight into the latest technology and tools being used to explore learning in Higher Educational Institutions (HEIs). Cloud computing, being an up-and-coming technology, integrates with academia and industry, thereby enhancing the quality of education.The opportunities and challenges faced by HEIs in recent times due to technological disruptions have forced both academia and industry to realign their strategies for survival and growth. With the acceleration of cloud computing in higher education, it has now become imperative for educators to constantly upskill and reskill in order to meet the requirements of the future of work, particularly in the digital age. Technological advancement is an unstoppable wave and the lack of relevant skills to handle the disruptions in higher education will become a huge challenge if not addressed promptly. This is the new phase of Education 4.0 where HEIs are aligning themselves using cloud computing implications, and thus are preparing both faculties and students to embrace the changes happening in the teaching and learning processes.This book focuses on multi-faceted strategies to be adopted by HEIs to deal with the emerging issues related to teaching–learning processes using cloud computing, technological interventions, curriculum overhaul, experiential learning, multi-disciplinary approaches, and continuous innovations and digitalization.The book offers comprehensive coverage of many academic areas, with the most essential topics including:• Pedagogies in digital education using a cloud environment• Risks and challenges in cloud platforms for teaching and learning• Collaborative and group learning in a cloud environment• Enhancing quality of education using e-learning methodologiesThe sections in this book are "Cloud Enabled Digitalization of Higher Education" and "Innovations and Applications of Digitalization of Higher Education: A Cloud Perspective". The book will be useful for undergraduates, graduates, academicians, scholars, and policy makers. It will help readers acquire skills for a smooth transition from face-to-face teaching to cloud-based teaching.

The Cloud is an advanced and fast-growing technology in the current era. The computing paradigm has changed drastically. It provided a new insight into the computing world with new characteristics including on-demand, virtualization, scalability and many more. Utility computing, virtualization and service-oriented architecture (SoA) are the key characteristics of Cloud computing. The Cloud provides distinct IT services over the web on a pay-as-you-go and on-demand basis. Cloud Computing Technologies for Smart Agriculture and Healthcare covers Cloud management and its framework. It also focuses how the Cloud computing framework can be integrated with applications based on agriculture and healthcare.Features: Contains a systematic overview of the state-of-the-art, basic theories, challenges, implementation, and case studies on Cloud technology Discusses of recent research results and future advancement in virtualization technology Focuses on core theories, architectures, and technologies necessary to develop and understand the computing models and its applications Includes a wide range of examples that uses Cloud technology for increasing farm profitability and sustainable production Presents the farming industry with Cloud technology that allows it toaggregate, analyze, and share data across farms and the world Includes Cloud-based electronic health records with privacy and security features Offers suitable IT solutions to the global issues in the domain of agriculture and health care for societyThis reference book is aimed at undergraduate and post-graduate programs. It will also help research scholars in their research work. This book also benefits like scientists, business innovators, entrepreneurs, professionals, and practitioners.

Today, relevant data are typically delivered to cloud-based servers for storing and analysis in order to extract key features and enable enhanced applications beyond the basic transmission of raw data and to realize the possibilities associated with the impending Internet of Things (IoT). To allow for quicker, more efficient, and expanded privacy-preserving services, a new trend called Fog Computing has emerged: moving these responsibilities to the network's edge.Traditional centralized cloud computing paradigms confront new problems posed by IoT application growth, including high latency, limited storage, and outages due to a lack of available resources. Fog Computing puts the cloud and IoT devices closer together to address these issues. Instead of sending IoT data to the cloud, the fog processes and stores it locally at IoT devices. Unlike the cloud, fog-based services have a faster reaction time and better quality overall. Fog Computing, Cloud Computing, and their connectivity with the IoT are discussed in this book, with an emphasis on the advantages and implementation issues. It also explores the various architectures and appropriate IoT applications. Fog Computing, Cloud Computing, and Internet of Things are being suggested as potential research directions.Features: A systematic overview of the state-of-the-art in Cloud Computing, Fog Computing, and Internet of ThingsRecent research results and some pointers to future advancements in architectures and methodologies Detailed examples from clinical studies using several different data sets

Cloud-based Intelligent Informative Engineering for Society 5.0 is a model for the dissemination of cutting-edge technological innovation and assistive devices for people with physical impairments. This book showcases Cloud-based, high-performance Information systems and Informatics-based solutions for the verification of the information support requirements of the modern engineering, healthcare, modern business, organization, and academic communities.Features:Includes broad variety of methodologies and technical developments to improve research in informative engineeringExplore the Internet of Things (IoT), blockchain technology, deep learning, data analytics, and cloudHighlight Cloud-based high-performance Information systems and Informatics-based solutionsThis book is beneficial for graduate students and researchers in computer sciences, cloud computing and related subject areas.

Cloud based Multi-Modal Information Analytics: A Hands-on Approach discusses the various modalities of data and provide an aggregated solution using cloud. It includes the fundamentals of neural networks, different types and how they can be used for the multi-modal information analytics. The various application areas that are image-centric and videos are also presented with deployment solutions in the cloud. Features Life cycle of the multi- modal data analytics is discussed with applications of modalities of text, image, and video. Deep Learning fundamentals and architectures covering convolutional Neural Networks, recurrremt neural networks, and types of learning for different multi-modal networks. Applications of Multi-Modal Analytics covering Text , Speech, and Image. This book is aimed at researchers in Multi-modal analytics and related areas

The Cloud is an advanced and fast-growing technology in the current era. The computing paradigm has changed drastically. It provided a new insight into the computing world with new characteristics including on-demand, virtualization, scalability and many more. Utility computing, virtualization and service-oriented architecture (SoA) are the key characteristics of Cloud computing. The Cloud provides distinct IT services over the web on a pay-as-you-go and on-demand basis. Cloud Computing Technologies for Smart Agriculture and Healthcare covers Cloud management and its framework. It also focuses how the Cloud computing framework can be integrated with applications based on agriculture and healthcare.Features: Contains a systematic overview of the state-of-the-art, basic theories, challenges, implementation, and case studies on Cloud technology Discusses of recent research results and future advancement in virtualization technology Focuses on core theories, architectures, and technologies necessary to develop and understand the computing models and its applications Includes a wide range of examples that uses Cloud technology for increasing farm profitability and sustainable production Presents the farming industry with Cloud technology that allows it toaggregate, analyze, and share data across farms and the world Includes Cloud-based electronic health records with privacy and security features Offers suitable IT solutions to the global issues in the domain of agriculture and health care for societyThis reference book is aimed at undergraduate and post-graduate programs. It will also help research scholars in their research work. This book also benefits like scientists, business innovators, entrepreneurs, professionals, and practitioners.

Today, relevant data are typically delivered to cloud-based servers for storing and analysis in order to extract key features and enable enhanced applications beyond the basic transmission of raw data and to realize the possibilities associated with the impending Internet of Things (IoT). To allow for quicker, more efficient, and expanded privacy-preserving services, a new trend called Fog Computing has emerged: moving these responsibilities to the network's edge.Traditional centralized cloud computing paradigms confront new problems posed by IoT application growth, including high latency, limited storage, and outages due to a lack of available resources. Fog Computing puts the cloud and IoT devices closer together to address these issues. Instead of sending IoT data to the cloud, the fog processes and stores it locally at IoT devices. Unlike the cloud, fog-based services have a faster reaction time and better quality overall. Fog Computing, Cloud Computing, and their connectivity with the IoT are discussed in this book, with an emphasis on the advantages and implementation issues. It also explores the various architectures and appropriate IoT applications. Fog Computing, Cloud Computing, and Internet of Things are being suggested as potential research directions.Features: A systematic overview of the state-of-the-art in Cloud Computing, Fog Computing, and Internet of ThingsRecent research results and some pointers to future advancements in architectures and methodologies Detailed examples from clinical studies using several different data sets

Integration of IoT with Cloud Computing for Smart Applications provides an integrative overview of the Internet of Things (IoT) and cloud computing to be used for the various futuristic and intelligent applications. The aim of this book is to integrate IoT and cloud computing to translate ordinary resources into smart things. Discussions in this book include a broad and integrated perspective on the collaboration, security, growth of cloud infrastructure, and real-time data monitoring.Features: Presents an integrated approach to solve the problems related to security, reliability, and energy consumption. Explains a unique approach to discuss the research challenges and opportunities in the field of IoT and cloud computing. Discusses a novel approach for smart agriculture, smart healthcare systems, smart cities and many other modern systems based on machine learning, artificial intelligence, and big data, etc. Information presented in a simplified way for students, researchers, academicians and scientists, business innovators and entrepreneurs, management professionals and practitioners.This book can be great reference for graduate and postgraduate students, researchers, and academicians working in the field of computer science, cloud computing, artificial intelligence, etc.

Integration of IoT with Cloud Computing for Smart Applications provides an integrative overview of the Internet of Things (IoT) and cloud computing to be used for the various futuristic and intelligent applications. The aim of this book is to integrate IoT and cloud computing to translate ordinary resources into smart things. Discussions in this book include a broad and integrated perspective on the collaboration, security, growth of cloud infrastructure, and real-time data monitoring.Features: Presents an integrated approach to solve the problems related to security, reliability, and energy consumption. Explains a unique approach to discuss the research challenges and opportunities in the field of IoT and cloud computing. Discusses a novel approach for smart agriculture, smart healthcare systems, smart cities and many other modern systems based on machine learning, artificial intelligence, and big data, etc. Information presented in a simplified way for students, researchers, academicians and scientists, business innovators and entrepreneurs, management professionals and practitioners.This book can be great reference for graduate and postgraduate students, researchers, and academicians working in the field of computer science, cloud computing, artificial intelligence, etc.

Cloud-based Intelligent Informative Engineering for Society 5.0 is a model for the dissemination of cutting-edge technological innovation and assistive devices for people with physical impairments. This book showcases Cloud-based, high-performance Information systems and Informatics-based solutions for the verification of the information support requirements of the modern engineering, healthcare, modern business, organization, and academic communities.Features:Includes broad variety of methodologies and technical developments to improve research in informative engineeringExplore the Internet of Things (IoT), blockchain technology, deep learning, data analytics, and cloudHighlight Cloud-based high-performance Information systems and Informatics-based solutionsThis book is beneficial for graduate students and researchers in computer sciences, cloud computing and related subject areas.