Endpoint Mapper Prediction for Continuous Data Stream Addressing

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

The dynamic nature of IP addresses, APIs, and URLs in modern computer networks, particularly due to deployment changes and ephemeral servers, leads to cumbersome and error-prone management, necessitating a system to maintain seamless communication across expanding interconnected systems.

Innovation Solution

An intelligent mapper that tracks dynamically generated CNAMEs/TrueNames and maps them to static URLs, predicting and preemptively updating mappings for anticipated endpoints using historical data and automation tools, ensuring continuous and reliable access.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If IP addresses, APIs, and URLs are changed dynamically to account for deployment changes and ephemeral servers, then the system can adapt to infrastructure changes, but it becomes cumbersome and error-prone to keep track of these dynamically changing addresses

Engineering Contradiction:

Improveadaptability to infrastructure changesVSAvoidease of tracking addresses

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent introduces an endpoint mapper as an intermediary component that sits between clients and the dynamic endpoint addresses. This mapper maintains a mapping between stable client-facing URLs and the actual dynamic endpoint addresses, allowing clients to use stable URLs while the system handles the dynamic address changes internally. This resolves the contradiction by providing adaptability through dynamic address changes while maintaining ease of operation through stable client-facing interfaces.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary actions by predicting future endpoint addresses before they are actually needed. By analyzing historical address allocation patterns and preemptively updating the endpoint mapper with predicted addresses, the system prepares for upcoming infrastructure changes in advance. This ensures continuity of service without requiring clients to be aware of or manually update their address mappings.

Inventive Principle:

Principle #10Preliminary action

2Adaptability or versatility

If the number of devices and services continues to expand exponentially, then the system can support more interconnected systems, but the volume of CNAMEs/TrueNames to manage increases to hundreds and thousands

Engineering Contradiction:

Improvecapacity to support interconnected systemsVSAvoidcomplexity of managing CNAMEs/TrueNames

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The endpoint mapper serves as a centralized intermediary that manages the complexity of hundreds and thousands of CNAMEs/TrueNames. Instead of requiring individual management of each dynamic address, the mapper consolidates this complexity into a single system that automatically maintains mappings between stable client-facing URLs and dynamic endpoint addresses, enabling the system to scale to support exponential growth in interconnected devices and services.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements self-service capabilities through automated address allocation pattern recognition and predictive mapping. The endpoint mapper automatically monitors infrastructure changes, predicts new endpoint addresses based on historical patterns, and updates mappings without manual intervention. This automation enables the system to manage large volumes of CNAMEs/TrueNames efficiently, supporting exponential expansion without proportionally increasing operational complexity.

Inventive Principle:

Principle #25Self-service

3Measurement precision

If manual tracking of dynamically changing URLs is performed, then accuracy can be maintained, but the process becomes time-consuming and error-prone

Engineering Contradiction:

Improveaccuracy of address trackingVSAvoidtime required for address management

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The endpoint mapper implements self-service by automatically monitoring infrastructure changes, analyzing address allocation patterns, and updating mappings without manual intervention. The system uses automated pattern recognition to predict future endpoint addresses and preemptively updates the mapper, ensuring accuracy while eliminating the time-consuming and error-prone nature of manual tracking. This automation maintains measurement precision while dramatically reducing the time and human resources required for address management.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20260046270A1Systems and methods for improving data stream continuity with an endpoint mapper updated with predicted addresses of a later-provisioned data-streaming cluster

Publication Date: 2026.02.12 CAPITAL ONE SERVICES LLC

AI summary

The system may obtain a first data stream generated by a first set of endpoints from a first set of addresses for the first set of endpoints, wherein the mapper maps the first set of addresses to a set of stable addresses. The system may update the mapper to map a set of stable addresses to a set of anticipated addresses by predicting the set of anticipated addresses for a second set of endpoints based on a history of endpoint addresses. The system may provision the second set of endpoints, wherein provisioning the second set of endpoints comprising generating a second set of addresses for the second set of endpoints, wherein the second set of addresses matches with the set of anticipated addresses. The system may obtain a second data stream generated by the second set of endpoints.