Dynamic Data Container Throttling and Rerouting

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Solution Overview

Problem

Existing data container management systems are inefficient as they adhere to predetermined communication paths, preventing real-time optimization using authorization data and network conditions, and are immutable, limiting dynamic modification and analysis.

Innovation Solution

A computing platform with modules for data container input and analysis, throttling, generation, and rerouting, which analyzes real-time authorization data and network conditions to dynamically modify data container content and communication paths, allowing for throttling, generation, and rerouting based on current conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If data containers are dispatched on predetermined communication paths, then transportation efficiency and planning are improved, but real-time optimization using authorization data and network conditions is prevented

Engineering Contradiction:

Improvetransportation efficiencyVSAvoidreal-time optimization capability

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The system dynamically determines communication paths for data containers based on real-time authorization data and network conditions. Instead of static predetermined paths, the system continuously evaluates current state and adjusts routing decisions, making the transportation system adaptive to changing conditions while maintaining efficiency

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback loops where data container transportation decisions are continuously refined based on real-time authorization data and network condition monitoring. This feedback mechanism enables the system to learn from current state and optimize subsequent transportation decisions, resolving the contradiction between efficiency and adaptability

Inventive Principle:

Principle #23Feedback

2Reliability

If data containers are dispatched in immutable form, then security and auditing are improved, but dynamic modification and real-time analysis are limited

Engineering Contradiction:

ImprovesecurityVSAvoiddynamic modification capability

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system segments the data container into immutable core data and mutable metadata/components. The core data maintains immutability for security and auditing, while separate mutable elements can be dynamically modified based on real-time analysis and authorization data, allowing both security and adaptability to coexist

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary layer that sits between the immutable data container and the modification operations. This intermediary enables controlled dynamic modification and real-time analysis while preserving the immutability of the core data container, thus maintaining security while enabling adaptability

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If predetermined communication paths are used, then planning and efficiency are improved, but control over transportation is lost after dispatch

Engineering Contradiction:

Improveplanning efficiencyVSAvoidcontrol capability

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The system performs preliminary actions by pre-planning communication paths and preparing authorization data before data container dispatch. This preliminary preparation maintains planning efficiency while enabling real-time control decisions to be made based on current conditions without sacrificing the benefits of advance planning

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12261778B2Dynamic computing platform for real-time data container generation, authorization, and throttling management

Publication Date: 2025.03.25 BANK OF AMERICA CORP

AI summary

Aspects of the disclosure relate to real-time management of data container generation, authorization, and throttling. In some embodiments, a computing platform may receive a first data container and retrieve a first data container management file associated with the first data container. The computing platform may then perform a first preliminary analysis of the first data container, including analyzing the first data container and the first data container management file to determine whether a first predetermined communication path requires additional throttling analysis. If additional throttling analysis is required, the computing platform may send analysis messages to a data container throttling module to extract a first communication entity listed in the first predetermined communication path. Thereafter, the computing platform may retrieve real-time operating conditions for the first communication entity to determine that the first data container requires additional throttling processing, and queue, by the data container throttling module, the first data container.