Collaborative Computing Paradigms for Distributed IoT and Cyber-Physical Systems. This item is unavailable.
Language: English
Published by SHARK NAIL, 2026
- Softcover
- New

Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
AbeBooks seller since June 11, 1999
Condition: New
£ 24.77
Item description from seller
New Book. Shipped from UK. Established seller since 2000.
Seller Inventory # L2-9781962116497
- Title
- Collaborative Computing Paradigms for Distributed IoT and Cyber-Physical Systems
- Author
- Mentor, Krichof
- Publisher
- SHARK NAIL
- Publication year
- 2026
- Condition
- New
- Binding
- PAP
- Language
- English
- ISBN 10
- 1962116492
- ISBN 13
- 9781962116497
- Item weight
- 242 grams
Collaborative Computing Paradigms for Distributed IoT and Cyber-Physical Systems examines computing approaches for interconnected devices, distributed Internet of Things environments, and cyber-physical systems. The book focuses on collaborative processing, distributed architectures, communication, resource coordination, and data exchange among networked physical and computational components. It introduces key concepts in distributed computing, IoT architectures, cyber-physical systems, edge and collaborative computing, networked devices, and intelligent resource management. Attention is given to how computational tasks and information can be coordinated across connected devices and distributed resources while considering communication, latency, processing capacity, scalability, and system reliability. The discussion provides a technical foundation for understanding collaborative computing models in environments where physical systems interact with digital technologies and network services. By connecting distributed computing with IoT and cyber-physical systems, the book offers useful technical knowledge for students, researchers, computer engineers, network professionals, and practitioners working in distributed systems, IoT, edge computing, automation, and intelligent connected technologies. It supports understanding of computational paradigms for designing and analyzing networked systems with distributed processing requirements.
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