Research Of Network Data Disaster-tolerant Key Technologies Based On Cloud Computing

In the past years,with the rapid development of the computer technology,people rely on the computer also growing.If the user's substantial data which is stored in the computer is lost,the loss is immeasurable.Data disaster-tolerant become increasingly important.This paper researches network data disaster-tolerant key technologies based on cloud computing problem. Network data disaster-tolerant system's goal is to provide a data backup and recovery solution which is in network environment.Firstly,the field of data disaster-tolerant on the whole situation and common techniques are briefly analyzed,and network data disaster-tolerant system is a briefly descripted.System architecture is disigned mainly from the system of tripartite structure. A brief description of the communication protocol between systems, the overall design of the backup server is Involved.Then, the basic process is analyzed about the job running on the backup server. The system has tripartite architecture.It is composed by backup server,backup agent and storage server.Three parts are installed and run independently.Backup server leads the system's operation logically,deal with user's orders,control task's running and send the result.In addition to the above three parts, the system also includes a console which send commands and receive information.For improving the system's performance,it use parallel mode to schedule backup jobs.By the multi-user's order processing technology,it makes the system to accept the multi-user's order parallel.By the multi-access mode technology,it makes users to visit the system by B/S or C/S mode.By jobs or network's monitor technology,it makes system to monitor the job's process and the network connection.The results show that the backup server can complete the job scheduling and processing functions running,the backup server operating time cost impact overall system performance smally. At the same time, these tests from the file size, file number and so on describes the system performance.