Computing and Service Architecture for Intelligent IoT

Abstract

This chapter presents the multi-tier computing network architecture for intelligent internet of things (IoT) applications along with two important frameworks that is cost aware task scheduling and fog as a service technology. It describes two intelligent application scenarios and the corresponding technical solutions as illustrative case studies of the multi-tier computing network architecture. The chapter proposes an on-site cooperative deep neural network (DNN) inference framework, which is based on edge computing to execute DNN inference tasks with low latency and high accuracy for industrial IoT applications, thus meeting the requirements on service delay and reliability. It also proposes a three-tier collaborative computing and service framework, which is based on fog computing to support dynamic task offloading and service composition in simultaneous localization and mapping for a robot swarm system, which requires timely data sharing and joint processing among multiple moving robots. The chapter introduces Boomerang, an on-demand cooperative inference framework.