Bifurcated Filtering for Proportional Computing Resource Allocation

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Solution Overview

Problem

Maintaining complex computing systems is challenging due to the difficulty in determining which resources are currently being used by a given application and scaling those resources appropriately, compounded by the complexity and distributed nature of network infrastructures.

Innovation Solution

A bifurcated filtering process is used to attribute processing instances to resources and determine scalability, involving filtering processing instances based on resource attribution and resource availability, followed by applying proportional allocation settings to allocate resources dynamically.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a single filtering process is used to attribute processing instances to resources, then the system complexity is reduced, but the accuracy of resource attribution and scalability determination deteriorates

Engineering Contradiction:

Improvesystem complexityVSAvoidresource attribution accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent applies segmentation by dividing the filtering process into two distinct stages: a first filter that attributes processing instances to resources based on detectability, and a second filter that determines scalability of identified resources. This segmentation allows each filter to specialize in one aspect, improving overall accuracy while maintaining manageable complexity through modular design.

Inventive Principle:

Principle #1Segmentation

2Adaptability or versatility

If resource scaling is implemented based on detected usage, then the system adaptability improves, but the difficulty of detecting and measuring resource usage deteriorates

Engineering Contradiction:

Improveresource scaling capabilityVSAvoidresource usage detection difficulty

Core Design Contradiction:

Adaptability or versatilityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent implements feedback mechanisms where the system continuously monitors processing instance attributes, compares them against defined criteria, and adjusts resource scaling decisions accordingly. The feedback loop ensures that resource usage detection is ongoing and adaptive, allowing the system to respond to changing conditions while maintaining measurement accuracy through structured observation points.

Inventive Principle:

Principle #23Feedback

3Reliability

If comprehensive filtering of processing instances is performed, then the reliability of resource allocation improves, but the loss of time in processing increases

Engineering Contradiction:

Improveresource allocation reliabilityVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-defining filtering criteria and thresholds for processing instance attributes before actual resource allocation occurs. This allows the system to quickly match incoming processing instances against pre-established rules rather than performing complex analysis in real-time, maintaining high reliability through thorough filtering while reducing processing time through preparedness.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250355706A1Systems and methods for determining allocatable resources during proportional maintenance of complex computing systems using bifurcated filtering

Publication Date: 2025.11.20 CITIBANK N A

AI summary

Systems and methods for proportional maintenance of complex computing systems. By using proportional maintenance (e.g., recommending/allocating resources based on current usage in the computing system), the systems and methods may scale current resources (e.g., hardware and/or software components) based on how those resources are currently utilized.