Protocol-Based Data Stream Filtering and Routing
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Solution Overview
Problem
Current systems face challenges in reliably processing and transmitting large volumes of data streams with minimal delay, as they struggle to efficiently store and process data while adhering to specific protocols and destination addresses.
Innovation Solution
A stream processing system that receives data streams, detects applicable report protocols, assigns processing nodes, caches relevant data elements, and transmits information to designated destination addresses based on protocol specifications, ensuring efficient and selective data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all data elements in data streams are stored and processed, then data completeness is improved, but system storage and processing capabilities are overwhelmed
Solution Approach 1:
The patent segments data elements into two categories: those matching report protocol composites (cached and transmitted) and those not matching (discarded). This segmentation allows the system to process massive data streams by only retaining and transmitting relevant portions, resolving the contradiction between data completeness and system capability.
Solution Approach 2:
The patent applies different processing qualities to different data elements based on their relevance. Data elements matching report protocol composites receive high-quality processing (caching and transmission), while others receive minimal processing (discarding). This local quality differentiation optimizes system resources for critical data.
2Loss of time
If data transmission delay is minimized, then real-time processing is improved, but data filtering and protocol compliance checking are compromised
Solution Approach 1:
The patent performs preliminary action by detecting report protocols and identifying matching composites during the streaming process itself, before transmission. This allows the system to pre-filter and cache only relevant data elements, enabling fast transmission without compromising filtering accuracy, as the filtering work is done in advance during the stream processing.
3Productivity
If selective data transmission is implemented, then network bandwidth efficiency is improved, but system complexity in protocol detection and data filtering increases
Solution Approach 1:
The patent implements a universal stream processing framework that handles multiple report protocols (X12, EDIFACT, HL7, etc.) through a common architecture. The system universally detects protocols, identifies composites, and filters data across different protocol types using the same core mechanisms, reducing overall system complexity despite supporting multiple protocols.
4Reliability
If all data elements are transmitted to destination addresses, then data availability is improved, but network bandwidth and transmission efficiency are wasted
Solution Approach 1:
The patent extracts only the relevant data elements that match report protocol composites from the massive data streams and transmits only those to destination addresses. This extraction principle ensures data availability for critical information while eliminating wasteful transmission of irrelevant data, directly resolving the contradiction between data availability and bandwidth efficiency.
Data Source
AI summary
This disclosure relates to the processing of data streams. More specifically, application of particular protocols to a stream and a detection analysis facilitate a selective, reliable and efficient transmission of pertinent stream data to destination addresses.