Parallel Network Architecture for Real-Time Stream Analysis

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Solution Overview

Problem

Existing network architectures struggle to efficiently process and manage large volumes of real-time data streams from disparate sources with different communication protocols, requiring significant bandwidth and processing power, and often necessitate storing data for post-processing.

Innovation Solution

A parallel network architecture that parses and processes specific data types or protocols from real-time streams, such as HL7, in parallel with existing networks, allowing for targeted processing and real-time network reconfiguration, while storing and updating data in a relational database.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a network hub processes multiple spoke data streams with unique protocols and authentication requirements, then comprehensive data management capability is improved, but device complexity and processing power requirements worsen

Engineering Contradiction:

Improvedata management capabilityVSAvoidprocessing power

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The network hub is divided into multiple specialized processors, each dedicated to handling a specific spoke data stream or protocol type. This segmentation allows each processor to be optimized for its specific function rather than requiring a single complex processor to handle all protocols, thereby improving adaptability while managing complexity through modular architecture

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Protocol translation and authentication services are implemented as intermediary components that mediate between diverse spoke protocols and the hub's internal data management system. These intermediaries handle protocol conversion and authentication tasks, allowing the core hub to focus on data management while the intermediaries manage protocol complexity

Inventive Principle:

Principle #24Intermediary (Mediator)

2Speed

If real-time processing of multiple spoke data streams is implemented, then data freshness and responsiveness are improved, but bandwidth consumption and processing load worsen

Engineering Contradiction:

Improvedata processing speedVSAvoidbandwidth consumption

Core Design Contradiction:

SpeedVSLoss of energy

Solution Approach 1:

Multiple spoke data streams are merged into a unified processing pipeline where common operations such as authentication, protocol translation, and data validation are performed once on aggregated data rather than separately on each stream. This combining approach maintains real-time processing capability while reducing redundant operations and bandwidth consumption

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

Data preprocessing operations including protocol translation, authentication, and initial validation are performed in advance as data enters the hub, before the main processing logic executes. This preliminary action ensures that subsequent real-time processing operates on already-prepared data, improving speed while distributing the processing load efficiently

Inventive Principle:

Principle #10Preliminary action

3Reliability

If comprehensive authentication and protocol configuration is implemented for each spoke client, then security and protocol compatibility are improved, but ease of operation and configuration complexity worsen

Engineering Contradiction:

ImprovesecurityVSAvoidconfiguration complexity

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The network hub implements universal authentication and protocol translation services that can handle multiple spoke protocols and authentication methods through a single unified interface. This multi-functionality allows diverse protocols to be managed through common mechanisms, improving security coverage while reducing configuration complexity through standardization

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system dynamically adjusts authentication parameters and protocol configurations based on the detected spoke type and data stream characteristics. Rather than requiring manual configuration for each protocol, the system automatically modifies its behavior to match the connected spoke, maintaining security while simplifying operation through adaptive parameter changes

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12284233B2Network architecture for parallel data stream analysis and modification

Publication Date: 2025.04.22 AUDACIOUS INQUIRY LLC

AI summary

Network architectures interface with several real-time streams that control network operation. The network can analyze stream data by storing incoming raw stream data, processing the data, and controlling network operations based thereon. Specific packets, bits, flags, fields, or messages may be targeted, including HL7 ADTs. Data is queued for processing in a FIFO manner to avoid timeline mistakes. The network sets a configuration value based on the data analyzed in this time ordering, and a relational database can be updated in real-time with these values as stream data is incoming. Separate clean-up functions separately manage the database by adjusting the values as they become old. Timeline information is generated and selectively broadcast based on the operations value, potentially with additional information from the targeted data. The network selectively provides this information to users interfaces and displays as dictated by the operating value and information calculated therefrom.