Northbound interface resource export system

Abstract

The invention discloses a northbound interface resource export system, which comprises a multi-instance export service and a unified report resource access service, and is characterized in that the multi-instance export service is used for exporting different resource data, generating a file, compressing the file and uploading the file to a cloud server according to different northbound interface standards; and the unified report resource access service is used for completing resource data synchronization, converting the resource data into a unified data model, persistently storing the unified data model in a local database, and ensuring the data instantaneity and the consistency of background data. When the unified northbound resource access module is started, background service data and equipment state data are synchronized to a local database, and local resource data are refreshed in real time; and after receiving the export task, the task assignment module divides the export task into different small tasks according to different resource types, and issues the small tasks to different distributed multi-instance export services. The repeated conversion of the data model is avoided, and the northbound interface resource export efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of communications, and more specifically relates to a northbound interface resource derivation system. Background technique [0002] With the rapid advancement of 5G commercial use in my country, the bandwidth requirements of the transmission network are also increasing. Therefore, there are more and more transmission equipment. The northbound interface serves as a unified access interface between the equipment vendor’s network management and the upper-layer integrated network management. It needs to quickly respond to all requests from the upper-layer integrated network management, export all device resources and service resources, generate resource files, and upload them to the file server for the upper-layer integrated network management to refresh resource data. [0003] At present, exporting a resource through the northbound interface needs to obtain data from multiple background services, and then comp...

AI Technical Summary

Problems solved by technology

At the same time, due to the concurrent execution of multiple threads, the occupied memory resources are uncontrollable. In a large configuration scenario, the system often crashes due to unallocated memory.

[0005] Because the data exported by the northbound interface comes from different services and the status data comes from the device, a large number of RPC (Remote Procedure Call) requests are frequently sent to the background service and the device. The background service and the device need to respond to these RPC requests. If Calling some RPC interfaces with slow queries will block background services and device request queues, resulting in inability to respond to new RPC requests in a timely manner

[0006] Northbound interface resource data directly comes from different background services and device status data, resulting in northbound interface resource export performance heavily dependent on background services and device operating efficiency

A small change in background services and devices may affect the query efficiency of the application layer

It often happens that after resource export efficiency optimization is completed in one version, the export efficiency is still not up to standard in another development version

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