Systems and methods for rapidly building and replicating clouds

Abstract

The present invention provides a system and method for quickly building and replicating clouds. The system includes a cloud building unit for building a cloud environment; a tenant generation unit for deploying a mirror library on the network and allocating hardware resources; a tenant cloudification unit for To build sub-clouds for tenants; the system and method for quickly building and copying clouds in the present invention realizes the rapid building and copying of clouds, and at the same time, the system provides hardware resource management, cluster management, data security, health checks, and service discovery , container lifecycle management, log monitoring, network resource management, tenant management, performance monitoring, and load balancing functions, realize one-click cloud construction and rapid tenant generation, and achieve rapid cloud construction and replication.

Description

technical field [0001] The invention relates to the field of computers, in particular to a system and method for rapidly building and replicating clouds. Background technique [0002] Cloud computing is an Internet-based computing method, in which shared hardware and software resources and information can be provided to computers and other devices on demand. The core idea of ​​cloud computing is to uniformly manage and schedule a large number of computing resources connected by the network to form a computing resource pool to provide users with on-demand services. Cloud computing in a narrow sense refers to the delivery and use mode of IT infrastructure, which refers to obtaining the required resources through the network in an on-demand and easy-to-expand manner; way to obtain the required services. Such services can be IT and software, Internet related, or other services. [0003] At present, with the development of cloud computing, more and more research institutions a...

AI Technical Summary

Problems solved by technology

However, deploying a large-scale cloud computing cluster is a very heavy and arduous task. The deployment process involves the installation of a large amount of software, the processing of dependencies between components, and the setting of many configuration parameters. The process is due to excessive manual operations and repetitive work. It takes a lot of time to deploy, so a new automated deployment mechanism is urgently needed to overcome the above problems

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