Data read-write method for realizing SaaS service mode

Abstract

The invention relates to the field of cloud computing, and particularly to a data read-write method for realizing an SaaS service mode. Data reading for the method comprises the steps of: (1) logging in; (2) acquiring the enterprise number information of the current login user, the server IP for the sub database corresponding to the current user, and the information of connection string for accessing the database; (3) performing data interaction directly by the user with the enterprise sub database; data writing comprises the steps of: (1) logging in to acquire the right to write data; (2) then, adding a piece of user data in the sub database at first, and inserting the data into the public database at the same time if it is successfully added. The method enables the data read-write application to be faster, safer and more stable in SaaS software. The method can be applied for data read-write in the SaaS service mode.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a data reading and writing method for realizing a SaaS service mode. Background technique [0002] Cloud Computing is the result of the mixed evolution and leap of concepts such as Virtualization, Utility Computing, IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service). Cloud computing expresses a new computing model: applications, data and IT resources are provided to users through the network in the form of services. [0003] The cloud operating system supports unified management of large-scale virtual computing resources, storage resources, and network resources, and can realize scalable and efficient private clouds and hybrid clouds on the basis of existing IT infrastructure. The main functions of the cloud operating system include computing resource management, storage resource management, network resource management, key pair mana...

AI Technical Summary

Problems solved by technology

[0006] 1. It is limited to a single system design, which cannot satisfy multiple enterprises to use the same system together. The system access pressure is high, and it cannot support simultaneous access by multiple users

[0007] 2. The current SaaS system design reads and writes data to operate a shared database

The enterprise database cannot be automatically deployed, and separate storage cannot achieve unified monitoring and management, which brings great difficulties to maintenance. The problem of difficult maintenance is that multiple enterprises of SaaS software share the same database. If the system fails, it will be difficult to restore user data and restore the entire database. It means that the data of each enterprise on the database must be overwritten with the backup data, regardless of whether there is a problem with the data of the specific enterprise

Therefore, in order to restore data for a single customer, administrators have to restore the database to a staging server and then import the customer's tables to the production server, which is a complex and potentially time-consuming process

[0008] 3. The reason why the promotion of software as a service (SaaS) is not smooth is mainly because enterprises are worried about the security of data and do not feel at ease storing data in cloud service providers; the expansion ability of SaaS services is weak, and the ability of personalized customization is not perfect. This is undoubtedly a big problem for those large-scale enterprises that have high requirements for personalization; and it also needs to be considered in terms of service migration. If the enterprise does not continue to use SaaS services, how should the enterprise data be retrieved? Back, how to reuse, how to solve the unified management of the database and how to increase the concurrent reading and writing of data; currently, there is not a SaaS service provider that has a good solution in this regard

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