The Service Computational Resource Management Strategy Based On Edge-Cloud Collaboration

Abstract

Using edge computing technology can effectively solve the network latency and stability problems in industry IoT system. In order to improve the stability of the edge, this paper studies the traditional IoT rule engine and proposes an edge-cloud collaborative computational resource management strategy. Firstly, our strategy prioritizes rules and keep the more important rule executed at the edge end. Our strategy continuously adjusts the executing position of the rules between the cloud server and edge server by the resources loaded and the priority of the rules on edge. The experimental results indicate that our strategy has led to edge CPU usage and memory usage below 90%. It shows that this strategy has good performance of the resource management under the condition that the platform has a large number of rules, and our strategy can provide faster and more stable rule processing and application.