Collaborative Computing Paradigms for Distributed IoT and Cyber-Physical Systems. Questo articolo non è disponibile.
Lingua: inglese
Editore: SHARK NAIL, 2026
- Brossura
- Nuovo

Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Venditore AbeBooks dal 11 giugno 1999
Condizione: Nuovo
EUR 30,14
Descrizione dell’articolo da parte del venditore
New Book. Shipped from UK. Established seller since 2000.
Codice articolo L2-9781962116497
- Titolo
- Collaborative Computing Paradigms for Distributed IoT and Cyber-Physical Systems
- Autore
- Mentor, Krichof
- Editore
- SHARK NAIL
- Anno di pubblicazione
- 2026
- Condizione
- New
- Rilegatura
- PAP
- Lingua
- inglese
- ISBN 10
- 1962116492
- ISBN 13
- 9781962116497
- Peso dell'articolo
- 242 grammi
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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