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The primary purpose of this book is to present the state-of-the-art of mobile cloud computing and applications with an emphasis on energy-efficiency. The future research directions are also highlighted in this book to enrich the global market-place of mobile cloud computing services facilitating the scientific, industrial, business, and consumer applications. We expect that the book will serve as a reference to a large number of readers including researchers, system architects, practitioners, and graduate-level students. This book focuses on an emerging area that has considerable research interest, momentum, and interest of commercial developers. The target reader of this book are professional developers, under-graduate and post-graduate students, and researchers. As mobile cloud computing, as well as green computing, will have a major impact on the quality of science and society over the next few years, its knowledge will enrich our readers to be at the forefront of the field. This book reports the latest research advances in the area of green mobile cloud computing. The book covers the architecture, services, methods, applications, and future research directions of green mobile cloud computing.
Minimize Power Consumption and Enhance User ExperienceEssential for high-speed fifth-generation mobile networks, mobile cloud computing (MCC) integrates the power of cloud data centers with the portability of mobile computing devices. Mobile Cloud Computing: Architectures, Algorithms and Applications covers the latest technological and architectura
This book features best selected research papers presented at the International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2020) held at Indira Gandhi Institute of Technology, Sarang, India, during September 2020. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human–computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, internet security, pattern recognition, predictive analytics applications in healthcare, sensor networks and social sensing and statistical analysis of search techniques.
Explaining how going green can pay for itself, Green Computing: Tools and Techniques for Saving Energy, Money, and Resources ties the green agenda in IT to the broader corporate agenda in risk management, brand management, and reputation management. Written by a leading author in the IT field, this authoritative reference provides easy access to qu
Mobile Cloud Computing: Foundations and Service Models combines cloud computing, mobile computing and wireless networking to bring new computational resources for mobile users, network operators and cloud computing providers. The book provides the latest research and development insights on mobile cloud computing, beginning with an exploration of the foundations of cloud computing, existing cloud infrastructures classifications, virtualization techniques and service models. It then examines the approaches to building cloud services using a bottom-up approach, describing data center design, cloud networking and software orchestration solutions, showing how these solutions support mobile devices and services. The book describes mobile cloud clouding concepts with a particular focus on a user-centric approach, presenting a distributed mobile cloud service model called POEM to manage mobile cloud resource and compose mobile cloud applications. It concludes with a close examination of the security and privacy issues of mobile clouds. - Shows how to construct new mobile cloud based applications - Contains detailed approaches to address security challenges in mobile cloud computing - Includes a case study using vehicular cloud
“Ultimately, this is a remarkable book, a practical testimonial, and a comprehensive bibliography rolled into one. It is a single, bright sword cut across the various murky green IT topics. And if my mistakes and lessons learned through the green IT journey are any indication, this book will be used every day by folks interested in greening IT.” — Simon Y. Liu, Ph.D. & Ed.D., Editor-in-Chief, IT Professional Magazine, IEEE Computer Society, Director, U.S. National Agricultural Library This book presents a holistic perspective on Green IT by discussing its various facets and showing how to strategically embrace it Harnessing Green IT: Principles and Practices examines various ways of making computing and information systems greener – environmentally sustainable -, as well as several means of using Information Technology (IT) as a tool and an enabler to improve the environmental sustainability. The book focuses on both greening of IT and greening by IT – complimentary approaches to attaining environmental sustainability. In a single volume, it comprehensively covers several key aspects of Green IT - green technologies, design, standards, maturity models, strategies and adoption -, and presents a clear approach to greening IT encompassing green use, green disposal, green design, and green manufacturing. It also illustrates how to strategically apply green IT in practice in several areas. Key Features: Presents a comprehensive coverage of key topics of importance and practical relevance - green technologies, design, standards, maturity models, strategies and adoption Highlights several useful approaches to embracing green IT in several areas Features chapters written by accomplished experts from industry and academia who have first-hand knowledge and expertise in specific areas of green IT Presents a set of review and discussion questions for each chapter that will help the readers to examine and explore the green IT domain further Includes a companion website providing resources for further information and presentation slides This book will be an invaluable resource for IT Professionals, academics, students, researchers, project leaders/managers, IT business executives, CIOs, CTOs and anyone interested in Green IT and harnessing it to enhance our environment.
Mobile Cloud Computing: Models, Implementation, and Security provides a comprehensive introduction to mobile cloud computing, including key concepts, models, and relevant applications. The book focuses on novel and advanced algorithms, as well as mobile app development. The book begins with an overview of mobile cloud computing concepts, models, and service deployments, as well as specific cloud service models. It continues with the basic mechanisms and principles of mobile computing, as well as virtualization techniques. The book also introduces mobile cloud computing architecture, design, key techniques, and challenges. The second part of the book covers optimizations of data processing and storage in mobile clouds, including performance and green clouds. The crucial optimization algorithm in mobile cloud computing is also explored, along with big data and service computing. Security issues in mobile cloud computing are covered in-depth, including a brief introduction to security and privacy issues and threats, as well as privacy protection techniques in mobile systems. The last part of the book features the integration of service-oriented architecture with mobile cloud computing. It discusses web service specifications related to implementations of mobile cloud computing. The book not only presents critical concepts in mobile cloud systems, but also drives readers to deeper research, through open discussion questions. Practical case studies are also included. Suitable for graduate students and professionals, this book provides a detailed and timely overview of mobile cloud computing for a broad range of readers.
Green Computing and Predictive Analytics for Healthcare excavates the rudimentary concepts of Green Computing, Big Data and the Internet of Things along with the latest research development in the domain of healthcare. It also covers various applications and case studies in the field of computer science with state-of-the-art tools and technologies. The rapid growth of the population is a challenging issue in maintaining and monitoring various experiences of quality of service in healthcare. The coherent usage of these limited resources in connection with optimum energy consumption has been becoming more important. The major healthcare nodes are gradually becoming Internet of Things-enabled, and sensors, work data and the involvement of networking are creating smart campuses and smart houses. The book includes chapters on the Internet of Things and Big Data technologies. Features: Biomedical data monitoring under the Internet of Things Environment data sensing and analyzing Big data analytics and clustering Machine learning techniques for sudden cardiac death prediction Robust brain tissue segmentation Energy-efficient and green Internet of Things for healthcare applications Blockchain technology for the healthcare Internet of Things Advanced healthcare for domestic medical tourism system Edge computing for data analytics This book on Green Computing and Predictive Analytics for Healthcare aims to promote and facilitate the exchange of research knowledge and findings across different disciplines on the design and investigation of healthcare data analytics. It can also be used as a textbook for a master’s course in biomedical engineering. This book will also present new methods for medical data evaluation and the diagnosis of different diseases to improve quality-of-life in general and for better integration of Internet of Things into society. Dr. Sourav Banerjee is an Assistant Professor at the Department of Computer Science and Engineering of Kalyani Government Engineering College, Kalyani, West Bengal, India. His research interests include Big Data, Cloud Computing, Distributed Computing and Mobile Communications. Dr. Chinmay Chakraborty is an Assistant Professor at the Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India. His main research interests include the Internet of Medical Things, WBAN, Wireless Networks, Telemedicine, m-Health/e-Health and Medical Imaging. Dr. Kousik Dasgupta is an Assistant Professor at the Department of Computer Science and Engineering, Kalyani Government Engineering College, India. His research interests include Computer Vision, AI/ML, Cloud Computing, Big Data and Security.
Now diffused among end-user devices in mobile and wireline networks, the "cloud" is becoming the "fog." This book focuses on the challenges and solutions related to cloud and fog computing for 5G mobile networks and presents novel approaches to the frameworks and schemes that carry out storage, communication, computation, and control in the fog/cloud paradigm. These novel approaches support the Internet of Things (IoT), the efficient provision of heterogeneous 5G mobile services, and emerging applications over future wireless network architectures. Elaborating on the emerging mobile networking paradigms for the 2020 5G time frame, the book discusses recent and new developments, prompting future directions on the theories, practices, standards, and strategies related to 5G mobile. It also presents new connectivity services that are highly scalable and programmable, and it highlights recent developments related to 5G mobile systems. Topics covered include: * Network storage * Internet of Things (IoT) * Heterogeneous 5G mobile services * 5G green mobile networks * Cloudlet-based architectures in mobile cloud computing environments * Software-defined networking (SDN) and network functions virtualization (NFV) * FOG-enabled navigation system * FIWARE and IoT technologies * Real time video distribution * Hybrid resource sharing * Energy efficiency in cognitive radio networks * Edge computing in future 5G mobile networks * Virtual network functions over cloud infrastructures
This book includes recent research on Data Science, IoT, Smart Cities and Smart Energy, Health Informatics, and Network Security. The International Conference on Advances in Computing Research (ACR’23) brings together a diverse group of researchers from all over the world with the intent of fostering collaboration and dissemination of the advances in computing technologies. The conference is aptly segmented into six tracks to promote a birds-of-the-same-feather congregation and maximize participation. The first track covers computational intelligence, which include, among others, research topics on artificial intelligence, knowledge representation and management, application and theory of neural systems, fuzzy and expert systems, and genetic algorithms. The second track focuses on cybersecurity engineering. It includes pertinent topics such as incident response, hardware and network security, digital biometrics and forensics technologies, and cybersecurity metrics and assessment. Further, it features emerging security technologies and high-tech systems security. The third track includes studies on data analytics. It covers topics such as data management, statistical and deep analytics, semantics and time series analytics, and a multitude of important applications of data analytics in areas such as engineering, health care, business, and manufacturing. The fourth track on network and communications covers a wide range of topics in both areas including protocols and operations, ubiquitous networks, ad hoc and sensor networks, cellular systems, virtual and augmented reality streaming, information centric networks, and the emerging areas in connected and autonomous vehicle communications. Lastly, the final track on cloud and mobile computing includes areas of interest in cloud computing such as infrastructure, service, management and operations, architecture, and interoperability and federation. This track also includes important topics in mobile computing such as services and applications, communication architectures, positioning and tracking technologies, the general applications of mobile computing.