Data Mediation Device Partial Parameter Parsing
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Solution Overview
Problem
Current data mediation approaches in complex information systems, such as those in mobile telecommunications, are inefficient in terms of memory usage and processing costs, leading to increased latency between requests and responses.
Innovation Solution
The method involves parsing only a selected subset of message parameters from incoming data messages, generating a limited run-time data structure, and applying data mediation logic to adapt these parameters, thereby reducing the need for extensive memory allocation and processing, and optimizing the construction of outbound messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complete parsing of all message parameters is performed to ensure full data processing capability, then data mediation completeness is improved, but processing time and memory usage increase significantly
Solution Approach 1:
The patent segments the message parameters into a selected subset that is parsed and processed, versus the remaining parameters that are not parsed. This segmentation allows the system to process only the essential parameters needed for data mediation, reducing processing time and memory usage while maintaining completeness for the critical data transformation tasks.
Solution Approach 2:
The patent applies partial action by parsing only a selected subset of message parameters rather than all parameters. This partial parsing approach is sufficient for the data mediation task at hand, avoiding the excessive processing cost of parsing every parameter while still achieving the necessary data transformation completeness.
2Reliability
If complete parsing of all message parameters is performed to ensure full data processing capability, then data mediation completeness is improved, but memory usage increases significantly
Solution Approach 1:
The patent segments the message parameters into a selected subset that is parsed and processed, versus the remaining parameters that are not parsed. This segmentation allows the system to process only the essential parameters needed for data mediation, reducing processing time and memory usage while maintaining completeness for the critical data transformation tasks.
Solution Approach 2:
The patent applies partial action by parsing only a selected subset of message parameters rather than all parameters. This partial parsing approach is sufficient for the data mediation task at hand, avoiding the excessive processing cost of parsing every parameter while still achieving the necessary data transformation completeness.
3Adaptability or versatility
If extensive memory allocation is performed to store complete run-time data structures, then data processing capability is improved, but processing efficiency deteriorates
Solution Approach 1:
The patent segments the message parameters into a selected subset that is parsed and processed, versus the remaining parameters that are not parsed. This segmentation allows the system to process only the essential parameters needed for data mediation, reducing processing time and memory usage while maintaining completeness for the critical data transformation tasks.
Solution Approach 2:
The patent applies partial action by parsing only a selected subset of message parameters rather than all parameters. This partial parsing approach is sufficient for the data mediation task at hand, avoiding the excessive processing cost of parsing every parameter while still achieving the necessary data transformation completeness.
Data Source
AI summary
A data mediation method involves receiving an incoming data stream from a data communication network; analyzing the incoming data stream to determine an inbound second-format message for transport in the network; processing a part of the inbound second-format message by parsing a selected subset of the message parameters; generating a run-time data structure to represent the parsed message parameters in the selected subset; processing the generated run-time data structure by applying a data mediation logic which defines actions to be taken upon incoming data messages, the actions including adaptation of the generated data structure by modifying any of the message parameters in the selected subset and/or adding new message parameters based on the parsed message parameters; building an outbound second-format message from the inbound second-format message and the generated data structure; and sending the outbound second-format message in an outgoing data stream on the network.


