Multi-system Event Response Calculator for Resource Allocation

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Solution Overview

Problem

Existing systems face challenges in identifying and mitigating the impact of multi-system events on resource distribution, leading to inefficiencies and errors in resource allocation, particularly during disruptions such as entity splits or mergers, due to manual processes and non-structured data outputs.

Innovation Solution

A system that analyzes historical data to determine multi-system events, correlates these events with predicted resource allocation results, and initiates resource re-allocation to new systems, including electronic processing and memory resources, while providing administrators with calculated impact reports and mitigation plans.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If manual processes are used for resource allocation during multi-system events, then system complexity is reduced, but resource allocation accuracy and efficiency deteriorate

Engineering Contradiction:

Improvesystem complexityVSAvoidresource allocation accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent replaces manual mechanical processes with an automated computer-based system that uses historical data analysis and correlation algorithms to determine resource allocation impacts. The system automatically processes multi-system event data, correlates it with historical patterns, and generates resource allocation recommendations without manual intervention, thereby improving accuracy while managing complexity through software automation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary computing system that acts as a bridge between multi-system events and resource allocation decisions. This intermediary system processes event data, correlates it with historical information, and produces structured allocation recommendations, eliminating the need for direct manual analysis while maintaining system manageability through modular architecture.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Ease of manufacture

If manual analysis of historical events is used, then implementation cost is reduced, but productivity and response time deteriorate

Engineering Contradiction:

Improveimplementation costVSAvoidresponse time

Core Design Contradiction:

Ease of manufactureVSProductivity

Solution Approach 1:

The patent implements preliminary action by pre-processing and storing historical multi-system event data in a structured format before events occur. The system maintains a database of historical events, correlations, and outcomes that can be rapidly queried during actual events, enabling fast response times without requiring complex real-time analysis, thus balancing speed with cost-effective implementation.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent uses copying by creating structured digital representations of historical event data and allocation patterns. Instead of manually analyzing original complex data sources during events, the system copies relevant historical patterns into accessible database formats that can be rapidly retrieved and applied, improving response time while keeping implementation costs manageable through efficient data replication.

Inventive Principle:

Principle #26Copying

3Device complexity

If non-structured data outputs are used, then data processing complexity is reduced, but information quality and decision-making effectiveness deteriorate

Engineering Contradiction:

Improvedata processing complexityVSAvoidinformation quality

Core Design Contradiction:

Device complexityVSLoss of information

Solution Approach 1:

The patent applies parameter changes by transforming unstructured event data into structured parameters with defined formats, relationships, and measurement standards. The system defines specific parameters for event characteristics, resource types, and allocation metrics, enabling precise information representation while managing processing complexity through standardized parameter schemas and data models.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS10838770B2Multi-system event response calculator and resource allocator

Publication Date: 2020.11.17 BANK OF AMERICA CORP

AI summary

Embodiments analyze historical events to calculate the impact of multi-system events and, in response, allocate resources. Embodiments determine a multi-system event is occurring based on historical multi-system event data; correlate the multi-system event with one or more predicted resource allocation results of the multi-system event based on historical multi-system event data; and in response to the correlation, initiate mitigation of the one or more predicted resource allocation results, including re-allocation of at least one affected resource to a new system. Some also determine current consumption of a resource utilized by a service; determine current processing throughput; calculate a relationship between consumption of the resource and processing throughput; determine the service is impacted by the multi-system event; calculate expected processing throughput in response to the multi-system event; and calculate expected consumption of the resource based on the calculated expected processing throughput and the calculated relationship.