Intelligent disaster recovery configuration of cloud computing network

Abstract

An intelligent disaster recovery configuration of the cloud computing network relates to Internet of Things system based on the multi-level disaster recovery. Four levels of configuration, including a load global scheduling layer, an area network access layer, a server farm layer and a database layer, and an area cloud computing network are included; the load global scheduling layer is connected with multiple area cloud computing networks, and the area cloud computing network comprises the area network access layer, the server farm layer and the database layer. Compared with the prior art, the intelligent disaster recovery configuration has the advantages that a multi-level disaster recovery mechanism is realized in the same area network, the local disaster recovery capability of the system is improved, and system disasters caused by local equipment faults are reduced; a global load regulator and an integrated gateway are monitored intelligently, and an automatic state monitoring and control mechanism for key devices of the cloud-computer network is provided creatively; and further long-distance network data synchronization method and realization scheme are provided, and the safety level of data is improved.

Description

Technical field [0001] The invention relates to a multi-level disaster tolerance cloud computing network system. Background technique [0002] With the rapid development of cloud computing technology, cloud service platforms based on cloud computing networks are playing an increasingly important role in aviation, logistics, government affairs, and business activities. However, these large cloud service networks are all built on a certain region. After a natural disaster, these cloud computing service networks lack automatic data recovery capabilities, cannot guarantee data security, and fail to solve the problem of the network system's load when a large number of users access concurrently. Defects in capacity and response speed. In recent years, global geological disasters have shown a trend of frequent occurrence, causing a large number of regional networks to be paralyzed, and seriously affecting the security of networks and information. Therefore, explore the remote disaster ...

AI Technical Summary

Problems solved by technology

However, these large-scale cloud service networks are built on the basis of a certain region. After a natural disaster occurs, these cloud computing service networks lack the ability to automatically recover data, cannot guarantee data security, and do not solve the load of the network system when a large number of users access concurrently. Weaknesses in capacity and responsiveness

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