International business machines corporation (20240320057). Dynamic Container Resizing simplified abstract
Contents
Dynamic Container Resizing
Organization Name
international business machines corporation
Inventor(s)
Jonathan D. Dunne of Dungarvan (IE)
Sahdevsinh P Zala of Cary NC (US)
Abhay Choudhary of Dublin (IE)
Eduardo Aguiar Patrocinio of Apex NC (US)
Karim Ladouari of Rathnew (IE)
Dynamic Container Resizing - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240320057 titled 'Dynamic Container Resizing
Simplified Explanation: The patent application discusses using regression analysis and time series analysis on telemetry data of a container to predict future resource usage and adjust resource allocation accordingly.
Key Features and Innovation:
- Regression analysis on telemetry data to identify features predicting resource usage.
- Time series analysis to predict future resource usage of the container.
- Adjusting resource allocation based on predicted future resource usage.
Potential Applications: This technology can be applied in various industries such as cloud computing, IoT, and data centers to optimize resource allocation and improve efficiency.
Problems Solved: This technology addresses the challenge of efficiently managing resources in containers by predicting future resource usage and adjusting resource allocation accordingly.
Benefits:
- Improved resource allocation efficiency.
- Better performance of executing applications.
- Cost savings by optimizing resource usage.
Commercial Applications: Optimizing resource allocation in cloud computing, IoT devices, and data centers can lead to cost savings and improved performance, making this technology valuable for companies in these sectors.
Prior Art: Prior art related to this technology may include research on predictive analytics in resource management for containers and time series analysis in telemetry data.
Frequently Updated Research: Stay updated on the latest research in regression analysis, time series analysis, and resource management in container technology to enhance the application of this innovation.
Questions about Container Resource Management: 1. How does regression analysis help in predicting resource usage in containers? 2. What are the potential challenges in adjusting resource allocation based on predicted future resource usage?
Original Abstract Submitted
using a regression analysis on first telemetry data of a container, an embodiment identifies a set of features predicting a resource usage of the container. the container comprises an executing application. using a time series analysis of data of the set of features, an embodiment predicts a future resource usage of the container at a future time. the data of the set of features is extracted from second telemetry data of the container. at the future time according to the future resource usage, an embodiment adjusts a size of a resource available to the container.
