Automatic network management method based on SNMP and stochastic Petri net

Abstract

An automatic network management method based on an SNMP and a stochastic Petri net belongs to the technical field of automatic network management and is characterized in that the method comprises the following steps of: automatically discovering all equipments and connection relationship of network to be managed by SNMP polling, memorizing the topology information to a database, dynamically monitoring and collecting the information of the equipment and the link in the network in real time by the SNMP, sending an alarm information when discovering emergent situations, presenting data analysis results in the form of graphs or reports to the network manager by a foreground system, automatically generating the stochastic Petri net mode in the network and arranging input parameters by a background program according to the information in the database, automatically solving the stochastic Petri net model and converting the stochastic Petri net model into network performance indexes by the background program; and simultaneously generating strategy automatically or helping the network manager to generate exacter strategy by the background program. The method automatically discovers, establishes and reflects the topology of the network to be managed, carries out real-time monitoring, information collecting and automatic modeling and analyzing in real-time, and generates the strategy in real-time to adjust the equipment configuration so as to improve the performance of the network to be managed.

Description

Technical field [0001] The invention belongs to the field of network management and control in the Internet, and specifically relates to a simple network management protocol (SNMP)-based network collection monitoring, automatic analysis and decision generation and other automatic network management methods and systems. Background technique [0002] As the infrastructure of the information society, computer networks have penetrated into all aspects of social production and life, and people’s dependence on the Internet is also increasing day by day. At the same time, however, the expansion of network scale, the increase in types of network equipment, and the expansion of various network applications have made network management more and more complex. Therefore, how to manage the network, especially the real-time collection, analysis and processing of data, so as to find out some potential problems in the network and solve or optimize the network performance in time, is the network ...

AI Technical Summary

Problems solved by technology

The existing SNMP-based network management system requires too much participation of network management personnel to manage and control the network, and the degree of automation is insufficient, and the real-time and effectiveness of network management are also affected at the same time, because the network management personnel make decisions based on the collected data analysis. After the decision of the network, the network situation may be very different from the situation at the time of collection

Therefore, there is a lack of an automated network management system and method for real-time collection, automatic analysis, and real-time decision-making

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