Resource scheduling for piano teaching system of internet of things based on mobile edge computing

Abstract

The effective operation of the piano teaching system of the Internet of Things requires the effective support of virtualization technology. In particular, on the basis that the edge computing standards and systems are not yet mature, the resource scheduling problem of edge computing needs to be studied from the actual point of view. In order to improve the effective operation of the piano teaching system of Internet of Things, this study analyzes the resource scheduling of delay-sensitive applications, sets the resource scheduling mode based on the space–time difference of the edge container load in a multi-cluster environment, and proposes a cross-cluster scheduling strategy. Simultaneously, this study uses simulation experiments to analyze the performance of the strategy proposed in this paper. The research results show that the strategy proposed in this paper can perform delay-insensitive application scheduling during system operation, achieve multi-cluster collaborative scheduling goals, and make the load between clusters more balanced.