Processing, distributing and load sharing method and processing, distributing and load sharing system for large network safety monitoring core data models

Abstract

The invention relates to the technical field of computer networks, in particular to a processing, distributing and load sharing method and a processing, distributing and load sharing system for large network safety monitoring core data models. The processing, distributing and load sharing method and the processing, distributing and load sharing system have the advantages that software parameters of monitored objects are scanned via software parameters canning client sides, all read software data are outputted to core data model processing terminals, software parameter data models are compared and analyzed by the core data model processing terminals, analysis results are transmitted to a safety monitoring server, data processing, comparing and analyzing procedures are distributed to the monitored objects to be executed by the monitored objects, the problem of excessively heavy load on an existing server is solved, and the instant safety monitoring speed is increased; burden on a network is relieved, and network congestion due to safety monitoring data transmission is prevented; interference on normal operation of users during safety monitoring data acquisition is reduced; the data acquisition efficiency is improved, and data acquisition errors are effectively reduced.

Description

Technical field: [0001] The invention relates to the technical field of computer networks, in particular to a large-scale network security monitoring core data model processing decentralized load sharing method and system. Background technique: [0002] In a huge network, the security monitoring of the network involves a large amount of data collection, processing, comparison, analysis, etc. At present, most software-based models collect data by installing a client on each user terminal, and then send it to the server for processing. The server compares and analyzes the real-time collected data and the core data model, and sends out the analysis results. For real-time security monitoring, this has very high requirements on the performance of the server, which often causes the server to be unable to complete real-time analysis and processing of huge data, and has a more serious impact. This method causes a large network data burden and often affects the network. The user's n...

AI Technical Summary

Problems solved by technology

For real-time security monitoring, this has very high requirements on the performance of the server, which often causes the server to be unable to complete real-time analysis and processing of huge data, and has a more serious impact. This method causes a large network data burden and often affects the network. User's normal network requirements

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