Dynamic Line Management File Check Module for Data Integrity
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Solution Overview
Problem
Existing Dynamic Line Management (DLM) systems in telecommunications access networks face challenges in detecting missing data, which can lead to incorrect decision-making, as they lack mechanisms to verify the completeness of received data from individual lines within the network.
Innovation Solution
A file check module is introduced within the DLM system that compares received data with a line status database to identify missing performance data, and includes mechanisms for re-requesting missing data and providing a web-interface for remote access to comparison results, ensuring data integrity and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data collection is performed from multiple aggregation devices in a large access network, then the quantity of collected data increases, but the reliability of data completeness deteriorates due to difficulty in detecting missing data
Solution Approach 1:
The patent implements a feedback mechanism where the system sends expected data requests to aggregation devices and receives actual data responses. A comparison module then compares the received data against the expected data list to generate feedback about missing data, enabling the system to identify and rectify data completeness issues.
Solution Approach 2:
The patent introduces an intermediary comparison module that acts as a mediator between the data collection system and the aggregation devices. This module receives both the expected data requests and the actual data responses, performs the comparison, and identifies discrepancies, thereby solving the data completeness verification problem.
2Productivity
If data is collected from all aggregation devices, then the productivity of the DLM system improves, but the device complexity increases due to the need for data verification mechanisms
Solution Approach 1:
The patent segments the data verification function into distinct components: a data collection module that gathers expected data requests, a comparison module that performs the actual verification, and an identification module that pinpoints missing data. This segmentation makes the verification mechanism more manageable and less complex while enabling comprehensive data collection from multiple aggregation devices.
Data Source
AI summary
A telecommunications access network includes a plurality of telecommunications lines (1), a plurality of aggregation devices (51-54), a plurality of data collector modules (71-73) and a line provisioning and de-provisioning system (90), wherein each line is connected between customer premises equipment (11-13,21-23,31-33,41-43) and a line aggregation device (51-54). The access network is operable to provide data connections through at least a first sub-set of the lines (1) to a core network whereby network services may be provided over the network to the customer premises equipment. The access network further includes a management module (80) for managing at least a second sub-set of the lines (1) within the access network, the management module (80) being operable to receive aggregated data from a plurality of data collector modules, each data collector module (71-73) being operable to receive data from a plurality of the line aggregation devices. The network further comprises a file check module having a line status database (106) for storing information about the lines which are managed by the management module including the identity of the line aggregation device to which each line is connected and means for receiving information from the line provisioning and de-provisioning system and means for using the information received from the line-provisioning and de-provisioning system to maintain the file check module's database current. The file check module further comprises means (104) for receiving received data information from the management module specifying what data it has received and means (102,200) for comparing the received data information with data from the database (106) to generate comparison data, and output means (102,200) for outputting the generated comparison data.