Research On Edge Cloud Collaborative Computing Based On Internet Of Things

The rapid development of Internet of things technology has brought about the rapid popularization of Internet of things applications.A large number of Internet of things devices are connected to the network,which has brought great challenges to the data processing capacity of Internet of things devices.Aiming at the problem of massive Internet of things data processing,this paper comprehensively uses the load capacity of edge devices and cloud computing center to study the multi-source heterogeneous data governance of edge cloud collaborative computing system,the adaptive unloading algorithm of computing tasks and the hierarchical dynamic encryption protection mechanism of private data.The main work is as follows:Firstly,the effectiveness,rationality and integrity of massive Internet of things data are studied.Aiming at the problem of data validity,data verification rules are designed;Aiming at the problem of data rationality,a two-dimensional bloom filter algorithm is proposed;Aiming at the problem of data integrity,the missing data processing flow is designed;Experiments have verified the effectiveness,rationality and integrity of brush data processing in the Internet of things,which has more advantages than other methods.Secondly,aiming at the problem of a large number of computing tasks in the Internet of things scene,an adaptive unloading algorithm of computing tasks in edge cloud collaborative system is proposed.Based on the deep confidence network technology,the data is processed hierarchically,the performance of computing equipment and the network performance of edge cloud collaborative system are analyzed,and the processing time model of computing tasks is designed.On this basis,an adaptive unloading algorithm of computing tasks is proposed.Experiments show that this algorithm has more advantages in the overall response time of the system.Finally,aiming at the problem of privacy data protection in the Internet of things scene,a data hierarchical dynamic encryption protection mechanism is proposed.Dynamically configure the encryption level of IoT devices according to the data model,store the encryption levels of different device attributes through the distributed configuration center,and call the corresponding encryption and decryption method in the privacy protection module to realize the hierarchical dynamic encryption protection of IoT data.Finally,the design experiment verifies the advantages of this method in processing time,development efficiency and storage space.