Research On Edge Computing For Smart Home

Nowadays,with the rapid development of the Internet industry,data as the basis of all kinds of business is flooded at the edge of the network.Cloud computing as the main data processing means is no longer suitable for the current business development needs.The rapid expansion of data and the heavy burden of the network seriously affect the reliable delivery of business.As the main goal of the development of various services,AI pays more attention to the real-time performance of services.As an optimization scheme to solve data congestion and improve service quality,edge computing needs to be studied experimentally.In this paper,firstly,the application of edge computing in smart home scenarios is mainly studied.The three-level network architecture of terminal,edge and cloud is constructed by transmission network.The queue model of edge and cloud under data transmission is considered dynamically,and the characteristics of edge are summarized.Then,considering the advantages of edge computing in short period and fast speed,this paper discusses the application examples in the family,considers the real-time edge and the reliability of cloud,designs a scheduling algorithm with edge computing as the core and the two parts working together,and verifies the effectiveness of the results by software simulation.At the same time,the experimental platform of edge computing is built,and the feasibility of edge computing in smart home environment is further tested by container technology.The experimental results are displayed and analyzed through an example test.Finally,we analyze the problem of weak security and vulnerability of edge distributed nodes under DDoS attack.We integrate block chain technology and adopt joint defense to improve consensus strategy under edge computing nodes,reduce resource overhead and ensure system reliability.