18756723. COMPUTER-BASED SYSTEMS CONFIGURED FOR DYNAMIC PERFORMANCE SCORING OF SOFTWARE AGENTS AND METHODS OF USE THEREOF simplified abstract (Capital One Services, LLC)

COMPUTER-BASED SYSTEMS CONFIGURED FOR DYNAMIC PERFORMANCE SCORING OF SOFTWARE AGENTS AND METHODS OF USE THEREOF

Organization Name

Capital One Services, LLC

Inventor(s)

Emmanuel Obogbaimhe of Fairfax VA (US)

Kadhiresan Kanniyappan of Ashburn VA (US)

Krystan R. Franzen of Mechanicsville VA (US)

Yasawy Rajendraprasad Ravala of Glen Allen VA (US)

Matthew Zheng of Morrisville NC (US)

Matthew Blake Ackard of Midlothian VA (US)

COMPUTER-BASED SYSTEMS CONFIGURED FOR DYNAMIC PERFORMANCE SCORING OF SOFTWARE AGENTS AND METHODS OF USE THEREOF - A simplified explanation of the abstract

This abstract first appeared for US patent application 18756723 titled 'COMPUTER-BASED SYSTEMS CONFIGURED FOR DYNAMIC PERFORMANCE SCORING OF SOFTWARE AGENTS AND METHODS OF USE THEREOF

The patent application describes a method for evaluating and selecting data agents within a computing system for launching a software application.

• Identifying computing specification images within a set of images.
• Monitoring each data agent for a period to establish a baseline.
• Using a chaos engineering algorithm to perturb each data agent.
• Calculating a usage test score for each data agent.
• Calculating an overall data agent-specific usage score.
• Rejecting data agents that do not meet usage criteria for launching the software application.

1. 1. 1. Potential Applications:

This technology can be applied in cloud computing environments, data centers, and software development processes.

1. 1. 1. Problems Solved:

This method helps optimize the performance and efficiency of data agents within a computing system, ensuring that only the most suitable agents are utilized for launching software applications.

1. 1. 1. Benefits:

- Improved performance of software applications - Enhanced resource allocation within computing systems - Increased reliability and stability of data agents

1. 1. 1. Commercial Applications:

Optimizing data agent selection for launching software applications can benefit cloud service providers, software development companies, and organizations with complex computing infrastructures.

1. 1. 1. Questions about the Technology:
         1. 1. How does this method improve the efficiency of data agents in computing systems?

This method evaluates and selects data agents based on usage scores, ensuring optimal performance for launching software applications.

1. 1. 1. 1. 2. What impact does rejecting certain data agents have on the overall performance of the software application?

By rejecting data agents that do not meet usage criteria, the method helps maintain the stability and reliability of the software application.

Original Abstract Submitted

In some embodiments, the present disclosure provides an exemplary method that may include steps of identifying at least one computing specification image within a plurality of computing specification images; monitoring each data agent within the plurality of preinstalled data agents for a predetermined period of time to establish a data agent usage baseline associated with each data agent within the plurality of preinstalled data agents; utilizing a chaos engineering algorithm to dynamically perturb each data agent; calculating a usage test score for each data agent within the plurality of preinstalled data agents; calculating an overall data agent-specific usage score associated with each data agent within the plurality of preinstalled data agents based on the plurality of data agent-specific usage test scores; and rejecting at least one data agent within the plurality of preinstalled data agents from being utilized to launch the instance of the software application.