EML-NML inefficient parameter full variable synchronization method

Abstract

An EML-NML inefficient parameter full variable synchronization method relates to the technical field of EML-NML. EMS divides parameters into high efficient parameters and inefficient parameters according to collection efficiency, and divides parameters into configuration parameters, state parameters and maintenance parameters according to parameter changing frequency from low to high. The EML-NML inefficient parameter full variable synchronization method comprises the following steps that step 11, NMS start an inefficient parameter refresh function; step 12, the EMS refreshes the inefficient parameters from equipment; step 13, the EMS generates inefficient parameter full variable configuration files and sends the inefficient parameter full dose configuration files to an FTP server; step 14, the NMS processes the full variable configuration files. The EML-NML inefficient parameter full variable synchronization method can support the NMS to only obtain data of specific classification, decrease the generation and transmission of synchronization data, and improve the synchronization efficiency of a large scale of inefficient parameters between EML and NML.

Description

technical field [0001] The present invention relates to the technical field of EML-NML (Element Management Level-Network Management Level, network element management level-network management level), specifically a method for full synchronization of EML-NML inefficient parameters. Background technique [0002] In the EML-NML management system, the NMS (Network Management System, network layer management system) system needs to synchronize the entire network configuration data of the EMS (Element Management System, network element layer management system) system. In the network-wide data, the number of terminal objects is huge. For example, the management scale of 10,000 network elements and 80,000 cross-connects is estimated to have millions of terminal points in the entire network. The parameters of each terminal point object are distinguished according to the collection efficiency, and there are high-efficiency parameters and low-efficiency parameters. Low-efficiency param...

AI Technical Summary

Problems solved by technology

The maximum granularity it acquires at one time is to obtain the parameters of all sub-layer terminal points according to the physical terminal point or floating terminal point. The 10,000 core PTN (Packet Transport Network, packet transport network) network elements have about one million physical ports and floating terminals. point, which means that obtaining all CTPs (Connection Terminal Points, connecting terminal points, indicating logical ports) needs to be scheduled at least a million times, so it is only suitable for a small number of object acquisition scenarios

Although the second solution can reduce the number of scheduling, it does not take into account the characteristics of the terminal point parameters. Although the simple full configuration synchronization can reduce the number of interactions, it will also seriously affect the efficiency of full configuration synchronization due to inefficient parameters.

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