Hybrid cloud management system and method

Abstract

The invention discloses a hybrid cloud management platform. The system mainly comprises a task scheduling module used for issuing acquisition and analysis tasks, a data analysis module used for analyzing data of a cloud data center, and a plurality of clusters of embedded devices, the embedded devices are deployed in the cloud managed by the hybrid cloud management system and used for executing acquisition and analysis tasks for the cloud where the hybrid cloud system is located issued by the hybrid cloud system and sending analysis results to the data analysis module, and each embedded device corresponds to one cloud data center. According to the hybrid cloud management system and method disclosed by the invention, collection and analysis of part of data are lowered into each nano-tube platform; therefore, transactions related to the data security and the transmission efficiency of the managed party are processed in the data center of the managed party, the user acceptance is higher from the perspective of data security, and the transmission and analysis efficiency is higher from the perspective of efficiency.

Description

technical field [0001] The invention relates to the cross technical field of computer technology and information security, in particular to a hybrid cloud management system and method for ensuring computing and data security of a multi-party cloud platform. Background technique [0002] Hybrid cloud integrates public cloud and private cloud, and is the main model and development direction of cloud computing in recent years. Private clouds provide secure data storage and computing environments, while public clouds can provide enterprises with more flexible and lower-cost computing, storage, and network resources. The hybrid cloud integrates the advantages of the two. Through the abstraction of computing, storage, and network resources, it shields the differences between the underlying private clouds and public cloud platforms, and realizes unified resource scheduling and cloud services by adapting the API interfaces of each platform. ability to manage. [0003] With the dee...

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Problems solved by technology

[0003] With the deepening of hybrid cloud production practices, in addition to basic resource management and control, hybrid cloud platforms often need to provide users with some data analysis and prediction capabilities, such as security compliance checks on virtual machine disks, cloud environment hosts, logs, and performance Analyze data, make resource and failure trend predictions, etc., and these all involve hybrid cloud management systems that need to be able to access private cloud and public cloud data. and other characteristics, data transmission needs to overcome problems such as low bandwidth and high delay, so the performance is low; in terms of security, private cloud and public cloud data transmission on the public network has a high security risk

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