A hybrid cloud storage system and method based on multi-level cache

Abstract

The invention discloses a hybrid cloud storage method based on multi-level cache. The method comprises the following steps: a user joins a user group for login according to the local area network where the user is, and sends a user name and a password for user authentication to a super node of the region where the user group is, the super node achieves authentication of the user according to the received user name and password, the user receives a catalog view returned from the super node and metadata information of all files and sends the catalog view to a group leader node of the user group, the group leader node judges whether the buffer memory space of the group contains files in the catalog view according to the received catalog view, and if yes, feeds the IP address of the node in which the files are saved in the buffer memory space of the group to the user, and the user determines the optimal access path of each file in the catalog view according to the received feedback information. The hybrid cloud storage method allows the user to access data from the user group cache and the super node layer cache which have lower network delay, thereby lowering the network delay of the user data access.

Description

Technical field [0001] The invention belongs to the field of computer cloud storage, and more specifically, relates to a hybrid cloud storage system and method based on a multi-level cache. Background technique [0002] In recent years, cloud storage systems have been a hot spot in the field of network storage. Cloud storage systems need to provide users with efficient, quality, and scalable services. However, the current cloud storage system still stays under the traditional central storage model, such as Goole’s GFS, Amazon’s S3, and Microsoft’s Azure. The physical structure of distributed cloud storage systems is to organize data centers scattered around the world to provide data. Storage services are therefore still a central storage-user service model. [0003] As users continue to improve the real-time, scalability, and efficiency requirements of cloud storage systems, the defects of large network delays and limited user access bandwidth of cloud storage systems under the t...

AI Technical Summary

Problems solved by technology

[0003] With the continuous improvement of users' requirements for real-time, scalability, and high efficiency of cloud storage systems, the defects of large network delay and limited user access bandwidth of cloud storage systems under the traditional central storage-user service mode are becoming more and more serious. Obvious: Traditional cloud storage systems usually deploy central storage in the regional backbone network, and users need to access data from the central storage of the cloud storage system through the wide area network. Compared with users accessing data from local disks, the data transmission speed Slow, and easily affected by the network environment where users access the cloud storage system, resulting in a very large network delay for users to obtain data from the central storage; in traditional cloud storage systems, all user data access requests are sent to the center Storage for processing, and the data access service itself has relatively high requirements for network bandwidth. As a result, when multiple users access data concurrently, the user access bandwidth of the central storage becomes a resource for each user to compete for. The user access bandwidth is limited, and data transmission Slow speed, quality of service not guaranteed

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