Research On Aggregation And Storage Method Of Cloud IOT Platform

Internet of things combines cloud computing to form Cloud Io T Platform,and cloud computing provides internet of things applications with virtualization,computing,storage,and other support services.Data is the foundation and core of cloud Io T platform applications,and the aggregation and storage of massive,multi-source and heterogeneous Io T data have the basic requirements of real-time,security and scalability.This paper focuses on the aggregation and storage of cloud Io T platform massive heterogeneous data,and solves the problem of multi-source data aggregation caused by inconsistency protocols,and the problem of heterogeneous data storage caused by inconsistent data types.A heterogeneous network protocol adaptation and data aggregation method is proposed for multi-source data aggregation caused by inconsistency protocols.In the Io T virtual gateway set the protocol adaptation layer,to achieve a variety of types of data aggregation protocol compatibility and ensure that different types of Io T nodes adaptive access.On this basis,through a unified interface to transfer data to the cloud IOT platform,shielding the difference between the Internet of things sensing equipment.Aiming at the problems of device forgery and malicious tampering in the process of data aggregation,this paper proposes a fast authentication and data storage method based on "Apikey",which puts the device authentication secret key Apikey into the protocol adaptation layer of the virtual gateway,realizing the source authentication of Io T nodes and ensuring the authenticity of the data.Aiming at the heterogeneous data storage problem caused by inconsistent data types,this paper proposes a hybrid storage architecture and heterogeneous data classification and storage method based on the advantages of relational database,No SQL database and distributed file storage system.Hybrid storage architecture is scalable,while maintaining the operability of traditional data storage systems,the flexibility of No SQL database,the fault tolerance cloud storage,heterogeneous data classification storage method takes into account the advantages of a variety of storage technologies,such as distributed cache system and load balancing and so on,to enhance the Io T cloud platform data storage efficiency and ensure the real-time requirements of the Io T applications.The distributed cache system hit rate of more than 90%,and the Io T sensing data storage response time reduced to milliseconds that 3 times faster than the traditional method.The aggregation and storage system can meet the millions of sensing equipment access and storage needs.Based on the technology and method,a multi-source data aggregation and heterogeneous data storage system is designed and implemented.The feasibility of the method is verified by system test.The cloud Io T platform is applied to the application system of smart home,parking management,intelligent lighting,equipment management and so on,which proves the practicability of the technology and method.