An elastic caching system under the docker cloud platform

Abstract

The invention discloses an elastic caching system under a Docker cloud platform, which is composed of a WebServer module, a Docker cluster management module, a Docker host cluster, a MySQL database, an Etcd cluster, a Docker mirror warehouse, and a client. The client transmits user and authentication information to the WebServer module; the WebServer module sends the Docker container control related data and commands to obtain the host status to the Docker cluster management module; the WebServer module reads and writes the host status and user information to the MySQL database; the WebServer The module sends container startup status information to the Etcd cluster; the client side reads cached data and Proxy node list information from the Docker host cluster; the Docker host cluster transmits host status data and Docker management data to the Docker cluster management module; The warehouse sends Docker Image data to the Docker cluster management module; the Docker host cluster transmits and caches cluster startup related data, Docker container status data, elastic event data, and disaster recovery event data to the Etcd cluster.

Description

technical field [0001] The present invention belongs to the field of computer application technology. More precisely, the present invention is applied on a cloud platform, uses Docker technology and caching strategies to integrate computing resources such as CPU, memory, and bandwidth into elastic caching services, and provides them to users. Background technique [0002] The cloud is composed of a large number of integrated and managed computing resources and storage resources, usually including server clusters that provide computing power, virtual networks, and large-capacity storage. Due to the indeterminate traffic peaks of access from users, the average server utilization is low when the traffic is low. On the basis of ensuring data security and service reliability, improving resource utilization and reducing energy consumption are problems that need to be solved urgently for cloud computing platforms. Therefore, the flexible allocation of virtual resources has practic...

AI Technical Summary

Problems solved by technology

If the system access volume increases suddenly, the fixed cache cluster size cannot bear the large traffic access, which will cause the system access speed to slow down

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