Data safety monitoring method and system for cloud platform

Abstract

The invention provides a data safety monitoring method and system for a cloud platform. The system includes: a network monitoring module which is intended for searching the monitoring data of respective levels of a cloud platform and permanently saving the monitoring data to a knowledge base; a data analysis module which is intended for analyzing and saving the data that are input by the network monitoring module and invoked from the knowledge base; a response strategy module which is intended for, based on quantification information of the importance of a to-be-monitored target that is inputby the data analysis module, selecting a to-be-monitored target which is required for the next stage, and analyzing the possibility of faults of an abnormal degree prediction system; a system execution module which is intended for, based on the input that is input by the response strategy module, using a monitoring agent to execute dynamic adjustment of a to-be-monitored target and a monitoring period; and a knowledge base module which is intended for recording a load mode that is learnt in the operation and a corresponding feature vector so as to describe the normal operation state of the system.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a cloud platform-oriented data security monitoring method and system. Background technique [0002] Monitoring technology is one of the key technologies to ensure the performance and reliability of the cloud computing system. By analyzing the monitoring data, the administrator can understand the various services on the cloud platform (services provided on the cloud platform, such as storage service software, processing software failures, including CPU load Too high, insufficient disk capacity, low disk transfer rate, a software application cannot run normally, etc., these failures are system performance problems), so as to take measures to detect and solve problems early. [0003] Existing monitoring methods generally focus on the real-time resource monitoring information in the cloud computing environment, and need to adopt a polling strategy—periodic or event-driv...

AI Technical Summary

Problems solved by technology

[0005] Using autonomous computing to solve the complexity of system management has a long history, but most of the early autonomous systems considered the management of physical resources in a distributed heterogeneous environment, and did not consider various constraints in the cloud environment, such as large-scale Virtualized applications, service level agreements, diverse applications and dynamic changes in the deployment environment, etc.;

[0006] The original autonomous computing framework cannot be directly applied in the cloud environment. For example, in the virtual layer, monitoring tools usually need to be configured on demand to distinguish the monitored applications and resources; therefore, the traditional MAPE cycle also needs to be redesigned to adapt to the cloud environment; In the process of providing cloud services, there are security threats from the network to all aspects of cloud services and intelligent groups, which seriously affect the application of cloud services;

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