Research Of Data Synchronization On Storage Technology Based On Cloud Storage And P2P

In today’s society, the speed of information process is becoming faster and faster, and the scale of digital resources is growing, so it is necessary to store the resources reasonably. Cloud storage is evolved on the basis of cloud computing, and it can provide users with a convenient data storage services. The structural model of cloud storage is mainly a kind of master-slave, and all requests must be processed via the central server and thus can easily be managed and maintained, but due to the over reliance on the central server, it’s easy to have the heavy load, node failure and poor reliability. Decentralization, load balancing, scalability and other advantages of P2P can excellently fit with cloud storage service. The paper puts forward a synchronous data storage model on the basis of the analysis of cloud storage and P2P technology.In the proposed storage model, the paper introduces the concept of storage cluster, and each storage cluster contains a center node and some data nodes. The center node keeps metadata information of data, while the data node is responsible for the actual data storage, and data nodes should accept center node’s management. All the center nodes communicate through Kademlia protocol, and they form a typical P2P network. Users’requests are sent to the center node through the network, and thus locate the position. In the specific design of the storage model, the paper makes a detailed description of the organization structure of data file, data storage, data reading and file synchronization update process.By combining with P2P, the cloud storage system can take advantage of P2P and then improve the working performance. The Kademlia protocol is used to route in the P2P network, with the help of P2P, the load pressure of the center server of the traditional master-slave structure of cloud storage decreases, and the load of the storage system becomes more balanced. With the help of data block storage and backup strategy, the model can guarantee the safety and reliability of the data well.