Distributed Embedded Intelligence

Distributed Embedded Intelligence: Edge-Cloud Architectures for IoT Engineers Jason Smith
The future of IoT is not purely at the edge, nor entirely in the cloud it is intelligently distributed between both.
This practical guide shows you how to design, build, and deploy robust edge-cloud systems that combine the speed and privacy of local intelligence with the scale and learning power of the cloud.
Written for embedded engineers, IoT architects, and technical professionals, this book takes you step-by-step through the complete architecture of modern distributed intelligent systems. You'll learn how to:

• Balance latency, power, bandwidth, privacy, and cost when deciding what to process at the edge versus in the cloud
• Design efficient data flows that minimize transmission while maximizing intelligence
• Run high-performance TinyML models on microcontrollers with real-world constraints
• Implement secure, reliable communication using MQTT, TLS, and proper device identity
• Build scalable cloud backends with event-driven microservices and intelligent orchestration
• Master OTA updates, fleet monitoring, diagnostics, and lifecycle management at scale
• Apply proven patterns from real deployments in industrial, agricultural, and smart building systems

• Embedded systems engineers moving into intelligent IoT
• IoT architects designing hybrid edge-cloud solutions
• Developers integrating TinyML and cloud services
• Technical leads responsible for scalable, reliable IoT platforms