Large-scale network monitoring oriented virtual deployment system and method

Abstract

The invention discloses a large-scale network monitoring oriented virtual deployment system and method. The system is provided with a deployment center platform and a plurality of deployment target machines communicated with the deployment center platform via a network. The deployment center platform is responsible for uniformly planning and managing a topology structure of measurement probe deployment in an entire computer network, issuing a deployment task according to the existing measurement probe deployment condition and network congestion condition, and executing management and version control on the deployed measurement probes. The deployment target machines receive and execute commands from the deployment center platform, and automatically execute corresponding operations so as to enable the measurement probes to be usable in the network; and a software dependency detection mechanism and a process matching rule are respectively used for realizing the platform independency of deployment and verifying the achievement of deployment. The system and the method can be used for solving a plurality of problems, such as dependency detection for deployment environment of the target machines, upgrading and maintaining of a management system version, concurrent deployment, automatic installation and detection of the plurality of target machines, dynamic scheduling and the like, in the prior art, and have better promotion and application prospects.

Description

technical field [0001] The invention relates to a virtualized deployment system and method for large-scale IP network monitoring, and belongs to the technical field of large-scale computer networks and distributed data collection systems and collection methods. Background technique [0002] With the rapid development of various network technologies and the popularization of products, as well as the continuous increase of users and business types, the network becomes more and more complex; the continuous increase of users and applications leads to a heavy burden on the network, resulting in network performance degradation, which It is necessary to extract and analyze the performance indicators of the network. Network performance data is of great reference value for analyzing network behavior, understanding network faults, and planning new services. [0003] Because today's computer network is complex and huge, it is very difficult to monitor it in real time, so it is of posi...

AI Technical Summary

Problems solved by technology

If manual installation is bound to consume a lot of manpower and material resources, it will increase the cost of monitoring

Most importantly, manual deployment of measurement probes is extremely inconvenient in terms of management maintenance and version control

If it is necessary to improve or upgrade the measurement probes, it is unreasonable that these large number of measurement probes still rely on manual upgrade maintenance

Therefore, the existing deployment methods are difficult to meet or meet the needs of monitoring large-scale computer networks

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