Most books on edge computing tell you what it is.
Very few show you how it actually works when the system is under pressure.
Latency spikes.
Bandwidth collapses.
Cloud links fail.
Security assumptions break.
That's where edge computing either succeeds-or quietly falls apart.
Near-Future Edge Computing was written for people who don't want buzzwords, diagrams without math, or "conceptual" explanations that fail the moment real workloads arrive.
This book shows you how edge systems are really designed:
- Why task placement fails without queueing theory
- How offloading decisions break under stochastic load
- Where Kubernetes helps-and where it absolutely doesn't
- How edge AI, federated learning, and split inference behave in production
- What zero-trust actually means when devices are distributed, mobile, and hostile
- How latency, energy, privacy, and resilience trade off against each other-every time
You'll move from fundamentals to deployment-level reality:
architectures, networking stacks, orchestration, data pipelines, security models, and optimization strategies that engineers use when failure is not an option.
This isn't written for casual readers.
It's written for engineers, architects, researchers, and serious builders who need systems that work outside the lab.
If edge computing is part of your future-or already part of your stack-this book gives you the technical clarity most reports avoid and most textbooks never reach.
Read it now, or keep guessing later.
