Device-Edge-Cloud Continuum

This book focuses on both theoretical and practical aspects of the Device-Edge-Cloud continuum, a development approach aimed at the seamless provision of next-generation cyber-physical services through the dynamic orchestration of heterogeneous computing resources, located at different distances to the user and featured by different peculiarities (high responsiveness, high computing power, etc.). The book specifically explores recent advances in paradigms, architectures, models, and applications for the Device-Edge-Cloud continuum, which raises many 'in-the-small' and 'in-the-large' issues involving device programming, system architectures and methods for the development of IoT ecosystem. In this direction, the contributions presented in the book propose original solutions and aim at relevant domains spanning from healthcare to industry, agriculture and transportation.

Presents approaches, paradigms and architectures for the development of the Device-Edge-Cloud continuum Describes applications of the Device-Edge-Cloud continuum in smart cities, smart agriculture, and autonomous vehicles Proposes original solutions that aim at relevant domains spanning from healthcare to industry

Autorentext
Claudio Savaglio is Tenure-Track Assistant Professor of Computer Engineering at the Dept of Informatics, Modeling, Electronics, and Systems (DIMES) of the University of Calabria (Unical), Italy, where he received the Ph.D. degree in ICT in 2018. Dr. Savaglio was a Researcher at the  ICAR-CNR (Institute for high performance computing and networking of the Italian National Research Council) and Visiting Researcher at the University of Texas at Dallas (TX, USA) in 2013, at the New Jersey Institute of Technology (NJ, USA) in 2016, and at the Universitat Politècnica de València (Spain) in 2017. He currently serves as Associate Editor for the IEEE Systems, Man, and Cybernetics Magazine and Guest Editor for the Journal of Computers & Electrical Engineering (CAEE), Computer Communication, MDPI Sensors, Frontiers and IET journal. His research interests include the Internet of Things (IoT), network simulation, Edge Computing, Edge Intelligence (EI) and agent-oriented development methodologies Giancarlo Fortino is Full Professor of Computer Engineering at the Dept of Informatics, Modeling, Electronics, and Systems (DIMES) of the University of Calabria (Unical), Italy, where he received the Ph.D. degree in 2000. Dr. Fortino is also guest professor at Wuhan University of Technology (China), high-end expert at HUST (China), and senior research fellow at the ICAR-CNR Institute. Dr. Fortino is currently member of the IEEE SMCS BoG and of the IEEE Press BoG, and chair of the IEEE SMCS Italian Chapter. According to Clarivate he is Highly Cited Researcher 2021 and 2020 in Computer Science (among 124 researchers worldwide). He is the founding editor in chief of the IEEE Book Series on "Human-Machine Systems" and of the Springer Book Series on "Internet of Things: Technology, Communications and Computing", and currently serves in the editorial board of 20+ Journals. His research interests include agent-based computing, wireless sensor networks, and the Internet of Things.

MengChu Zhou is Distinguished Professor of Electrical and Computer Engineering at the New Jersey Institute of Technology (NJIT), Newark, NJ, USA. He received the Ph.D. degree from the Rensselaer Polytechnic Institute, Troy, NY, USA, in 1990. He joined the Department of Electrical and Computer Engineering, New Jersey Institute of Technology in 1990, and has been Distinguished Professor since 2013. He is with Zhejiang Gongshang University. His interests are in intelligent automation, robotics, Petri nets, Internet of Things, edge/cloud computing, and big data analytics.  He has over 1100 publications including 14 books, over 750 journal papers including over 600 IEEE Transactions papers, 31 patents and 32 book-chapters. Dr. Zhou is fellow of IEEE, the International Federation of Automatic Control (IFAC), the American Association for the Advancement of Science (AAAS), and the Chinese Association of Automation (CAA) and National Academy of Inventors (NAI). His research interests include Petri nets, automation, AI, Internet of Things, and intelligent transportation.

 Jianhua Ma is a Professor in the Faculty of Computer and Information Sciences of Hosei University. He received the PhD degree of Information Engineering from Xidian University, China, and he is a member of IEEE and ACM. Dr. Ma has edited over 15 books/proceedings, and published more than 200 academic papers in journals, books and conference proceedings. He is an Editor-in-Chief of Journal of Ubiquitous Computing and Intelligence (JUCI), Journal of Mobile Multimedia (JMM), Journal of Autonomic and Trusted Computing (JoATC), and International Journal of u- and e- Service, Science and Technology (IJUNESST), and an Assistant Editor-in-Chief of International Journal of Pervasive Computing and Communications (JPCC). He is an Area Editor of the Int'l Journal of Computer Processing of Oriental Languages (JCPOL), an Associated Editor of of the Int'l Journal of Distance Education Technologies (JDET) and Springer's Journal of Human-centric Computing (HCIS), on the Advisory Board of the Int'l Journal of Smart Home (IJSH), and on the Editorial Board of the Int'l Journal of Wireless and Mobile Computing (IJWMC), International Journal of Security and Its Applications (IJSIA), Int'l Journal of Database Theory and Application (IJDTA), Int'l Journal of Computing & Information Technology (IJCIT), and Int'l Journal On Advances in Software.

Klappentext

This book focuses on both theoretical and practical aspects of the "Device-Edge-Cloud continuum", a development approach aimed at the seamless provision of next-generation cyber-physical services through the dynamic orchestration of heterogeneous computing resources, located at different distances to the user and featured by different peculiarities (high responsiveness, high computing power, etc.). The book specifically explores recent advances in paradigms, architectures, models, and applications for the "Device-Edge-Cloud continuum", which raises many 'in-the-small' and 'in-the-large' issues involving device programming, system architectures and methods for the development of IoT ecosystem. In this direction, the contributions presented in the book propose original solutions and aim at relevant domains spanning from healthcare to industry, agriculture and transportation. 

• Presents approaches, paradigms and architectures for the development of the Device-Edge-Cloud continuum;
• Describes applications of the Device-Edge-Cloud continuum in smart cities, smart agriculture, and autonomous vehicles; 
• Proposes original solutions that aim at relevant domains spanning from healthcare to industry.

Inhalt

Introduction.- Compressive Sensing approaches for IoT-based healthcare devices.- Obfuscation detection and their applications.- Occupancy prediction in buildings: state of the art and future directions.- The Role of Federated Learning in Artificial Intelligence Architecture for Cancer Patients Support.- Towards Secure TinyML on a Standardized AI Architecture.- Scheduling Offloading Decisions for Heterogeneous Drones on Shared Edge Resources.- Towards the Edge Cloud Continuum through the Serverless Workflows.- Compute Continuum for Smart Agriculture: an application of LSTM networks to imputation of missing sensor data.- Performance Analysis of a Blockchain for a traceability system based on the IoT sensor units along the Agri-Food supply-chain.- Autonomous Vehicles in Smart Cities: a Deep Reinforcement Learning Solution.- Edge-to-cloud Compute Continuum with applications to smart cities.- Edge intelligence for environmental audio classification: an approach based on Sentiment Analysis and tinyML.- Conclusion.