Adaptive Data Record Routing for Efficient Collection Paths
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Solution Overview
Problem
Existing data record retrieval processes are inefficient and time-consuming due to the geographical dispersion and varied technical sophistication of data sources, lack of optimization mechanisms, and inability to adapt to changing network environments.
Innovation Solution
A data retrieval management system that includes a retrieval management computing apparatus with processors and memory, which uses an adaptive routing algorithm to identify the most efficient collection path for data retrieval based on recorded path data and dynamically adapts to changes, optimizing the retrieval process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional data retrieval methods are used from geographically dispersed sources, then data can be collected from multiple providers, but the retrieval process is inefficient and time-consuming
Solution Approach 1:
The system dynamically adapts routing paths based on real-time network conditions and historical performance data. The adaptive routing management computing system continuously monitors collection path efficiency and adjusts routing decisions to optimize data retrieval speed, transforming static routing into a dynamic, responsive process that adapts to changing conditions.
Solution Approach 2:
The system implements feedback mechanisms by recording collection path data and using it to improve future routing decisions. The adaptive routing management computing system analyzes historical performance metrics and feedback from previous data retrieval operations to identify and select the most efficient collection paths, creating a continuous improvement loop.
2Adaptability or versatility
If multiple collection paths are available for data retrieval, then flexibility in routing is provided, but determining the most efficient path becomes complex
Solution Approach 1:
The adaptive routing management computing system acts as an intermediary between data sources and retrieval systems. It manages multiple collection paths and routing decisions, absorbing the complexity of path selection while providing simplified, optimized routing to the retrieval system. The intermediary handles path evaluation and selection, shielding the rest of the system from complexity.
Solution Approach 2:
The system changes routing parameters dynamically based on network conditions and performance metrics. By adjusting routing parameters such as collection path selection, data transmission protocols, and source prioritization, the system adapts to varying conditions without requiring complex structural changes, managing multiple paths through parameter optimization rather than structural complexity.
3Quantity of substance
If data sources use varied technologies with different technical sophistication, then diverse data can be collected, but the retrieval process becomes inefficient
Solution Approach 1:
The adaptive routing management computing system provides universal interfaces and protocols that work across diverse data sources with different technologies and levels of sophistication. It implements multi-functional capabilities to handle various data formats, communication protocols, and source types through a unified system, enabling efficient retrieval from heterogeneous sources without requiring source-specific optimization.
Data Source
AI summary
A method, apparatus, and non-transitory computer readable that receives a request for a data record from a client. Next, a determination is made to identify when there is a difference between: a recommended one of a plurality of collection paths to retrieve the requested data record from one of a plurality of data servers based on the request; and a most efficient one of the collection paths from the one of the data servers based on recorded collection path data. The data record from the identified one of the data servers is retrieved with the most efficient one of the collection paths when the determination identifies the difference. The retrieved data record in response to the request is provided to the requesting client.