Dynamic Resource Scheduling Of Container-based Edge IoT Agents

Abstract

With the advent of the 5G era and the smart grid era, in order to achieve high reliability of grid power supply efficiency, the combination of power Internet of Things with artificial intelligence, edge computing, and advanced communication technologies is the basis for the interconnection of everything in the smart grid era. As an important tool for edge computing-oriented perceptual access implementation, edge IoT agents can not only have gateway functions such as protocol conversion and data collection, but also carry applications including edge-side data storage and stream data processing, intelligent reasoning decision-making, etc. service. Traditional edge IoT agents mostly use heavyweight virtual machines as the implementation technology, and the applications provided are tightly coupled, and they cannot achieve mutual isolation and independent deployment between applications. Therefore, this paper uses lightweight virtualized Docker container technology to deploy services and build an edge IoT agent platform based on Docker containers. At the same time, facing real-time changing access requirements, edge IoT agent clusters may have the problem of limited container load. We propose a dynamic container scheduling method to improve the access carrying capacity of container clusters and ensure the high availability of edge IoT agents.