Intelligent IoT for the Digital World

2Computing and Service Architecture for Intelligent IoT

2.1 Introduction

Due to more data and more powerful computing power and algorithms, IoT applications are becoming increasingly intelligent, which are shifting from simple data sensing, collection and representation tasks towards complex information extraction and analysis. Diverse intelligent IoT applications demand different levels of intelligence and efficiency in processing data. For example, intelligent agriculture applications care more about low‐power sensors, while smart driving applications require powerful computing capabilities at device levels and low‐latency communications with neighboring equipment. Traditional computing and service architecture based on cloud computing can not satisfy diverse demands of different intelligent IoT applications, and multi‐tier computing network architecture coined by cloud, fog and edge computing will be required for intelligent IoT (Yang, 2019). In Section 2.1, the multi‐tier computing network architecture for intelligent IoT applications is presented, along with two important frameworks, i.e. Cost Aware Task Scheduling (CATS) (Liu et al., 2020) and Fog as a Service Technology (FA²ST) (Chen et al., 2018a). Multi‐tier computing network architecture is a computing architecture, which advocates active collaborations between cloud, fog and edge computing technologies for intelligent and efficient data processing at different levels and locations. It comprises not only Computing, ...