Virtualized Data Fabric via Photocrosslinking for Real-Time Provisioning

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Solution Overview

Problem

Existing systems lack an efficient method to identify and provision relevant data in real-time, especially in time-sensitive situations, due to limitations in data format, accessibility, and user awareness of data sources and computations.

Innovation Solution

A system using virtualized photocrosslinking-based parallel computing generates an electronic data fabric by identifying user data needs through AI analysis, simulating data requirements with photons, and creating cross-linkages within a DNA database to dynamically retrieve and present data in various formats.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional data systems are used, then data storage and retrieval are possible, but real-time data identification and provisioning is inefficient

Engineering Contradiction:

Improvedata provisioning efficiencyVSAvoiddata retrieval time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-processing data into a virtualized format with metadata indexing before actual retrieval requests. The photocrosslinking process pre-establishes data relationships and the AI model pre-identifies potential data needs, enabling rapid retrieval without time-consuming real-time processing during user requests.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces traditional mechanical data retrieval processes with a hybrid system combining AI algorithms for intelligent data identification, photocrosslinking for parallel data processing, and virtualization for rapid data access. This substitution eliminates sequential processing bottlenecks and enables concurrent data operations.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Ease of operation

If data is made more accessible through virtualization, then user access improves, but system complexity increases

Engineering Contradiction:

Improvedata accessibilityVSAvoidsystem structure complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent introduces a data virtualization layer as an intermediary between users and the underlying complex data infrastructure. This virtualization layer presents simplified data access interfaces while managing the complexity of data retrieval, processing, and integration behind the scenes. The metadata fabric acts as another intermediary that maps user requests to physical data locations.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system segments data into virtualized units with associated metadata, separating the data storage layer from the access layer. This segmentation allows the complex underlying data systems to be divided into manageable virtual containers that can be independently accessed and managed, reducing the perceived complexity for users while maintaining system functionality.

Inventive Principle:

Principle #1Segmentation

3Measurement precision

If AI analysis is used to identify data needs, then data relevance improves, but processing requirements increase

Engineering Contradiction:

Improvedata requirement accuracyVSAvoidcomputational resource consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The AI model performs preliminary analysis of user contexts, historical data, and potential needs before actual data retrieval. By pre-identifying likely data requirements and pre-processing data into virtualized formats with rich metadata, the system reduces the computational burden during actual data requests, as the heavy AI processing occurs in advance rather than in real-time during user interactions.

Inventive Principle:

Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enables real-time, efficient data provisioning in multiple formats, enhancing user access to relevant data without requiring knowledge of underlying data sources, thus supporting timely decision-making.

Implementation Method 1

generating a stream of photons using an antenna, wherein the stream of photons simulate the one or more data requirements

Methodology Applied

Scientific EffectElectromagnetic radiation: Electromagnetic Induction

Data Source

PatentUS20250173353A1System for generating an electronic data fabric using virtualized photocrosslinking-based parallel computing process

Publication Date: 2025.05.29 BANK OF AMERICA CORP

AI summary

A system is provided for generating an electronic data fabric using virtualized photocrosslinking-based parallel computing process. In particular, the system may, using an artificial intelligence (“AI”) model, identify one or more users and a subject or description of a communication in order to determine the data needs of the one or more users, where such data may reside within one or more databases, websites, applications, tools, and/or the like. The system may then use a simulated photocrosslinking based process to assimilate various combinations of datasets and place the data sets within a virtualized environment. The virtualized data may then be linked to a data fabric to identify the linkages and/or sublinkages between the virtualized data and the underlying data. Subsequently, upon receiving a data request from a user, the system may use the metadata within the data fabric to dynamically recall the relevant data in real time.