Multi-renter audit indexing method based on message triggering

Abstract

A multi-renter audit indexing method based on message triggering includes the steps of S301, loading an audit event filter on a cloud platform API server; S302, sending user request data to the auditevent filter through the cloud platform API server; S303, sending the user request data to a distributed type message queue through the audit event filter; S304, processing message data in the distributed type message queue and storing the message data in a database through an audit data processing module, wherein a plug-in type structure is adopted for the audit event filter. The method has the advantages that through the combination of the audit event filter and the distributed type message queue, the stability and flexibility of the whole system are improved, and large-scale cloud environment of thousands of nodes can be supported; due to the plug-in type design of the audit event filter, self-defined plug-ins are supported, expandability is improved, and network pressure is reduced.

Description

Technical field [0001] This application belongs to the technical field of cloud computing, and specifically relates to a method for multi-tenant audit index based on message trigger. Background technique [0002] Cloud computing is the fourth revolution in the IT industry after mainframe computers, personal computers, and the Internet. Cloud computing adheres to the concept of "service on demand". Cloud computing provides IT-related capabilities to users in the form of services. Users are allowed to obtain required services through the Internet without knowing the technology to provide services, without relevant knowledge and equipment operating capabilities. [0003] In popular understanding, the so-called cloud computing is to build a public power plant of information. It means that computing power can also be circulated as a commodity. Like electricity, it is easy to access and low in cost. Both businesses and consumers only need to buy services provided by others, instead o...

AI Technical Summary

Problems solved by technology

[0008] 1) The cloud service directly sends unprocessed and filtered data to the audit service, which will increase the pressure on the network and the audit service to process data in a large-scale environment;

[0009] 2) The cloud service sends data to the audit service through the API interface, the scalability is not as good as the distributed message queue processing, and may cause data loss;

[0010] 3) There is no multi-dimensional query index API for users to use quickly and conveniently;

[0011] 4) It does not support plug-in audit event filtering, the audit service is not modularized, and the scalability and scalability are poor

This invention realizes the analysis of the demand response potential of different tenant data in the power grid and the evaluation of the demand response effect, but does not involve the multi-tenant audit index technology of the cloud computing environment in this patent application

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