Metrics Parser Coordinator for Network Data Filtering
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Solution Overview
Problem
In mobile networks, non-standard applications face difficulties in collecting and filtering data from various interfaces, such as S1-U and S1-MME, as they often require only a subset of the information, leading to inefficiencies in data management and sharing across standard and non-standard devices and applications.
Innovation Solution
A Metrics Parser Coordinator (MPC) system that aggregates data from multiple interfaces, parses, filters, and maps it according to the input interfaces, providing only the requested information to registered applications, enabling efficient data sharing and access within the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If non-standard applications collect and filter data from multiple interfaces (S1-U, S1-MME, etc.), then they can access necessary information, but they must sift through massive amounts of irrelevant data which reduces efficiency
Solution Approach 1:
The MPC performs preliminary actions by proactively collecting, parsing, filtering, and storing data from multiple network interfaces before applications request it. This advance preparation eliminates the need for applications to sift through raw data, directly resolving the contradiction between data accessibility and processing efficiency
Solution Approach 2:
The MPC acts as an intermediary component between network interfaces and applications. It receives data from interfaces, processes it through parsing and filtering, stores it in a structured repository, and provides it to applications on demand. This intermediary role shields applications from data volume issues while ensuring information accessibility
2Adaptability or versatility
If the system aggregates data from multiple different interfaces into a unified repository, then data sharing among standard and non-standard applications is improved, but the system complexity increases
Solution Approach 1:
The MPC is designed as a universal platform that handles multiple interface types (S1-U, S1-MME, S5, etc.) and serves both standard and non-standard applications. By consolidating data collection, parsing, filtering, and distribution functions into a single multi-functional component, the system achieves enhanced data sharing capability while managing complexity through functional integration rather than proliferation of separate components
3Quantity of substance
If applications directly access raw data from network interfaces, then they can obtain complete information, but they waste time and resources processing irrelevant data
Solution Approach 1:
The MPC extracts only the relevant information from raw interface data through its filtering function. It parses complete data structures, identifies and extracts only the fields and metrics that are useful, and stores them in a filtered format. This extraction process maintains data completeness for needed information while eliminating irrelevant data before it reaches applications, thereby reducing processing time
Data Source
AI summary
A Metrics Parser Coordinator (MPC) coordinates data sharing between components of a network. A process performed by the MPC may include receiving data from a plurality of input interfaces, parsing the data, filtering the parsed data, storing the filtered data in a metric storage, mapping the filtered data according to the input interfaces, and providing the filtered data stored in the metric storage to the first registered application. Each interface may be defined differently from each other interface, and the filtered data including information requested by a first registered application. The interfaces may include 3rd Generation Partnership Project interfaces, Long Term Evolution interfaces, and custom interfaces. The MPC may further allow applications to register to publish data, subscribe to data, or both.