MML-based (man-machine-language-based) method, server and system for configuring large volume data

A data configuration and large-capacity technology, applied in the field of telecom network management, can solve problems such as error-prone, low configuration efficiency, and poor scalability, and achieve the effects of easy transaction control, improved development efficiency, and improved scalability

Active Publication Date: 2013-03-27
ZTE CORP
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When using these two methods to configure a small amount of data, you can give full play to their advantages of good usability and flexible operation. However, when configuring large-capacity data, for example, when you need to configure thousands of IUB office routes, NODEB or It is easy to show shortcomings such as low configuration efficiency, more manual intervention, cumbersome operation, and error-prone
[0004] In this context, batch configuration tools that use templates for batch configuration came into being, but traditional batch configuration tools are generally implemented in a hard-coded way, which cannot fully reuse the original code, and has poor scalability, transaction Disadvantages such as difficult control and low batch execution efficiency

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • MML-based (man-machine-language-based) method, server and system for configuring large volume data
  • MML-based (man-machine-language-based) method, server and system for configuring large volume data
  • MML-based (man-machine-language-based) method, server and system for configuring large volume data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0071] In a preferred embodiment, in the step S206, the step of the server executing the MML commands in batches includes:

[0072] Execute all MML commands in batches, and mark the successfully executed MML commands as successful;

[0073] Execute all MML commands that are not marked as successful in batches until all MML commands are successfully executed, or the number of failed MML commands no longer decreases.

[0074] In this step, the execution module at the server side executes the MML commands in a loop until all MML commands are executed successfully, or the number of failed MML commands no longer decreases.

[0075] The embodiment of the present invention also provides a large-capacity data configuration server based on MML, such as figure 2 As shown, the server includes:

[0076] The file receiving module 101 is used to receive the template file sent by the client;

[0077] The parsing module 102 is configured to parse the data in the template file into batches...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an MML-based (man-machine-language-based) method, server and system for configuring large volume data. The method includes: receiving template document transmitted by a client; analyzing data in the template document into batch MML commands according to a batch configuration command given by the client and prestored logic mapping document; executing the MML commands in batch, writing execution result information into the template document, and transmitting the template document to the client. The template document with written to-be-configured data is analyzed into MML commands for execution according to the prestored logic mapping document, original codes can be fully utilized, development efficiency is improved, and complexity is reduced.

Description

technical field [0001] The present invention relates to the technical field of telecommunication network management, in particular to a large-capacity data configuration method, server and system based on MML (Man-Machine Language, man-machine command language). Background technique [0002] Configuration management is an important part of the network management system, and is the basis for the normal operation of TMN (Telecom Management Network, telecommunication network system). [0003] Currently, there are two ways to implement configuration management, including: GUI (Graphical User Interface, Graphical User Interface) and MML. When using these two methods to configure a small amount of data, you can give full play to their advantages of good usability and flexible operation. However, when configuring large-capacity data, for example, when you need to configure thousands of It is easy to show shortcomings such as low configuration efficiency, more manual intervention, ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24
CPCH04L12/24H04L41/0843
Inventor 胡卫国
Owner ZTE CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap