International business machines corporation (20240345896). GLOBAL VERTICAL AUTO-SCALING FOR APPLICATION CONTAINERS simplified abstract

GLOBAL VERTICAL AUTO-SCALING FOR APPLICATION CONTAINERS

Organization Name

international business machines corporation

Inventor(s)

Lior Aronovich of Thornhill (CA)

GLOBAL VERTICAL AUTO-SCALING FOR APPLICATION CONTAINERS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240345896 titled 'GLOBAL VERTICAL AUTO-SCALING FOR APPLICATION CONTAINERS

The abstract describes a computer-implemented method, program, and system for global vertical auto-scaling for processing units. The computer learns functions based on resource consumption metrics and predicts maximal and minimal resource consumption values for a processing unit. It determines a global priority for the unit and calculates a prioritized predicted consumption value per resource for vertical auto-scaling.

• Computer learns functions based on resource consumption metrics
• Predicts maximal and minimal resource consumption values for a processing unit
• Determines global priority for the processing unit
• Calculates prioritized predicted consumption value per resource for vertical auto-scaling
• Utilizes the prioritized predicted consumption value for processing unit management

Potential Applications: - Cloud computing - Data centers - Virtualization technology

Problems Solved: - Efficient resource allocation - Optimal performance of processing units

Benefits: - Improved resource utilization - Enhanced performance - Cost savings

Commercial Applications: Title: "Global Vertical Auto-Scaling Technology for Processing Units" This technology can be used in cloud service providers, data centers, and companies with high computing demands to optimize resource allocation and improve overall performance.

Questions about Global Vertical Auto-Scaling Technology: 1. How does this technology impact the efficiency of resource allocation in data centers?

  This technology improves resource utilization by predicting and prioritizing resource consumption values for processing units, leading to more efficient resource allocation.
  

2. What are the potential cost savings associated with implementing global vertical auto-scaling for processing units?

  By optimizing resource allocation and improving performance, companies can reduce operational costs and achieve better ROI.

Original Abstract Submitted

a computer-implemented method, a computer program product, and a computer system for global vertical auto-scaling for processing units. a computer periodically learns one or more functions, based on resource consumption metrics samples of processing units. a computer uses the one or more functions to obtain a predicted maximal resource consumption value per resource and a predicted minimal resource consumption value per resource for a processing unit. a computer determines a global priority of the processing unit. a computer calculate a prioritized predicted consumption value per resource for the processing unit, based on the global priority, the predicted maximal resource consumption value, and the predicted minimal resource consumption value. a computer uses the prioritized predicted consumption value for vertical auto-scaling of the processing unit by a processing unit management system.