Request Processing Platform Load Simulation for Throughput Bottlenecks

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Solution Overview

Problem

Processing networks face performance bottlenecks due to limited communication channels and lack of effective load testing, leading to inefficient processing of operation requests and high costs in terms of man-hours and computing resources.

Innovation Solution

Implementing a load simulator to test target loads, adjusting computing resource allocation and orchestration engine configurations, establishing direct connections, and optimizing database queries to enhance request processing performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a single communication channel is used to transfer operation requests, then device complexity is reduced, but productivity decreases due to limited bandwidth

Engineering Contradiction:

Improvecommunication channel structureVSAvoidrequest processing throughput

Core Design Contradiction:

Device complexityVSProductivity

Solution Approach 1:

The patent segments the single communication channel into multiple parallel channels, allowing simultaneous transfer of multiple operation requests. This increases bandwidth and throughput while maintaining relatively simple individual channel structures, thus resolving the contradiction between device complexity and productivity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent transitions from a single-dimensional communication channel to a multi-dimensional channel structure, enabling requests to be processed across multiple dimensions simultaneously. This dimensional expansion increases capacity and throughput without proportionally increasing the complexity of each individual channel component.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Measurement precision

If load testing is performed manually by developers, then measurement precision is improved, but loss of time increases due to repeated validation steps

Engineering Contradiction:

Improveperformance bottleneck validation accuracyVSAvoidvalidation time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system implements self-service load testing capabilities where the processing network automatically performs load testing and performance validation without requiring manual developer intervention. This automation maintains measurement precision while dramatically reducing the time and man-hours required for repeated validation cycles.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent implements preliminary load testing mechanisms that validate performance assumptions before deployment and continuously monitor during operation. This preliminary and ongoing automated testing eliminates the need for repeated manual validation steps, reducing time loss while maintaining measurement precision.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If computing resources are increased to handle higher loads, then productivity improves, but use of energy increases

Engineering Contradiction:

Improverequest processing capacityVSAvoidcomputing resource consumption

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent implements dynamic computing resource allocation that adjusts resource usage based on actual load conditions. Resources are scaled up during high-demand periods to maintain productivity and scaled down during low-demand periods to reduce energy consumption, thus resolving the contradiction between productivity and energy use.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes operational parameters of computing resources based on load conditions, optimizing performance per unit energy. By adjusting parameters such as processing priority, channel allocation, and resource activation thresholds, the system maintains high productivity during peak loads while minimizing energy consumption during lower-demand periods.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12561175B2Systems and methods for increasing request processing performance

Publication Date: 2026.02.24 TRUIST BANK

AI summary

Request processing performance of a processing network can be increased using certain systems and methods. For example, a request processing platform can receive a plurality of operation requests generated by a load simulator. The load simulator may test a target load associated with the plurality of operation requests. Based on the target load, the request processing platform can adjust an allocation of computing resources in the request processing platform. Additionally, the request processing platform can adjust a configuration of an orchestration engine based on a predetermined throughput threshold associated with the target load. The request processing platform may establish a connection to an internal service platform that can process the plurality of operation requests. In response to establishing the connection, the request processing platform can transmit the plurality of operation requests to the internal service platform to process a predetermined number of operation requests associated with the target load.