Dynamic Data Container Routing and Throttling Under Real-Time Authorization
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Solution Overview
Problem
Existing data container management systems lack real-time control over transportation due to predetermined communication paths, preventing optimization through real-time authorization and operating conditions, and do not allow for dynamic modification of content or routing.
Innovation Solution
A computing platform with modules for input and analysis, throttling, generation, and rerouting that utilize real-time data to dynamically modify data containers and their paths based on network conditions and authorization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If predetermined communication paths are used for data container transportation, then efficiency and planning purposes are improved, but real-time optimization through authorization data and operating conditions cannot be achieved
Solution Approach 1:
The patent implements dynamic routing by allowing data containers to be rerouted based on real-time authorization data and operating conditions. The system transitions from static predetermined paths to dynamic adaptive paths that can change during transportation, enabling both efficiency and real-time optimization.
Solution Approach 2:
The system incorporates feedback mechanisms by continuously monitoring real-time authorization data and communication entity operating conditions. This feedback enables the originating computing system to make informed decisions about rerouting and throttling data containers to optimize transportation while maintaining security and efficiency.
2Reliability
If data containers are dispatched in immutable form for security and auditing, then security is improved, but real-time analysis and dynamic modification cannot be performed
Solution Approach 1:
The patent introduces an intermediary layer (the dynamic data container control computing platform) that sits between the immutable data containers and the communication entities. This intermediary can analyze, modify, and reroute containers based on real-time conditions while preserving the immutability and security of the original containers.
Solution Approach 2:
The system segments the data container transportation process into distinct phases: immutable container creation, dynamic analysis and modification by the control platform, and final dispatch. This segmentation allows security to be maintained during creation while enabling dynamic optimization during the intermediate phase.
3Productivity
If throttling analysis is performed on all data containers, then network condition optimization is improved, but processing time and system complexity increase
Solution Approach 1:
The patent applies throttling analysis selectively rather than universally. The system performs preliminary analysis to identify containers that require throttling based on real-time conditions, applying the full analysis only to those specific cases. This partial action approach optimizes network conditions while minimizing unnecessary processing time.
Data Source
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.


