Buch, Englisch, 317 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 658 g
ISBN: 978-3-030-86748-5
Verlag: Springer International Publishing
- Presents research in various industries and how artificial intelligence and Internet of Things is changing the landscape of business and management;
- Includes new and innovative features in artificial intelligence and IoT that can help in raising economic efficiency at both micro and macro levels;
- Examines case studies with tried and tested approaches to resolution of typical problems in each application of study.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
- Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
Weitere Infos & Material
Introduction.- Part I.- Data analytics for distributed computing and IoT.- Innovations in Software Requirements Engineering for IoT and Big Data.- Innovations in Software Design and Architectures of IoT and Big Data Platforms.- Data storage channels and distributed storage networks.- Big data practices and applications.- Big data retrieval, processing, analysis, and analytics.- IoT and pharmacocybernetics.- IoT for smart manufacturing (industry 4.0) and smart spaces.- IoT big data and predictive analysis.- Managing big data models with interactive Machine learning techniques.- Managing big data models with interactive Deep learning techniques.- Machine learning, data mining, web mining, and graph mining for social network analysis.- Part II.- Mobile networking and computing for cloud and fog/edge computing.- Security and Privacy Approaches to IoT and Big Data Applications and Platforms.- Virtualization of storage, networking, and computing.- SDN-enabled cloud data centers.- Elasticityand scalability of cloud resources.- Cloud management, orchestration, and automation.- Server less computing and FaaS.- Cloud-based storage platforms.- Decentralized storage in cloud and fog/edge computing systems.- Software-defined storage.- Part III.- Decentralized applications (Exchanges, Mining Pools, Trading Platforms).- Blockchain technology for developing countries.- Scalability, sharding, and scalable services for blockchain systems.- Security and privacy in the cloud and fog/edge infrastructure, services and storage.- Big Data and blockchain technology.- Cloud based authentication and privacy mechanisms Part IV.- Agile Software Engineering Approaches to IoT and Big Data Applications.- Software Engineering Framework for IoT.- Software Engineering Framework for Big Data.- Big Data Algorithms and Applications.- IoT design and architectures.- Security and Privacy Approaches to IoT and Big Data Applications and Platforms.- Conclusion.