International business machines corporation (20240346211). MODELING POWER USED IN A MULTI-TENANT PRIVATE CLOUD ENVIRONMENT simplified abstract
Contents
MODELING POWER USED IN A MULTI-TENANT PRIVATE CLOUD ENVIRONMENT
Organization Name
international business machines corporation
Inventor(s)
Sunyanan Choochotkaew of Koto (JP)
Tatsuhiro Chiba of Bunkyo-ku (JP)
Marcelo Carneiro Do Amaral of Tokyo (JP)
Eun Kyung Lee of Bedford Corners NY (US)
MODELING POWER USED IN A MULTI-TENANT PRIVATE CLOUD ENVIRONMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240346211 titled 'MODELING POWER USED IN A MULTI-TENANT PRIVATE CLOUD ENVIRONMENT
The abstract describes techniques for modeling power in a multi-tenant private cloud environment. An absolute power model is trained to estimate the absolute power in the environment, composed of independent and dependent inferences. A dynamic power model is trained to estimate dynamic power based on deconstructed independent inferences. The two models are combined into a single model after validating the dynamic power model.
- Absolute power model trained to estimate power in multi-tenant private cloud
- Dynamic power model trained based on deconstructed independent inferences
- Combination of absolute and dynamic power models for accurate power estimation
- Validation of dynamic power model before combining with absolute power model
- Utilization of combined model for estimating power in multi-tenant private cloud
Potential Applications: - Energy efficiency optimization in multi-tenant private cloud environments - Resource allocation based on accurate power estimation - Cost savings through better power management
Problems Solved: - Inaccurate power estimation in multi-tenant private cloud environments - Lack of dynamic power modeling for efficient resource allocation - High energy costs due to inefficient power management
Benefits: - Improved energy efficiency - Cost savings through optimized resource allocation - Enhanced performance in multi-tenant private cloud environments
Commercial Applications: Title: "Efficient Power Modeling for Multi-Tenant Private Cloud Environments" This technology can be used by cloud service providers to optimize energy usage and reduce costs. It can also benefit companies looking to improve the efficiency of their private cloud infrastructure.
Questions about Efficient Power Modeling for Multi-Tenant Private Cloud Environments: 1. How does the combined model improve power estimation accuracy in multi-tenant private cloud environments? The combined model leverages both absolute and dynamic power models to provide more accurate power estimations, leading to better resource allocation and cost savings.
2. What are the key advantages of using dynamic power modeling in the context of multi-tenant private cloud environments? Dynamic power modeling allows for real-time adjustments based on changing workload demands, leading to more efficient resource utilization and energy savings.
Original Abstract Submitted
described are techniques for modeling power in the multi-tenant private cloud environment. an absolute power model is trained to estimate the absolute power in the multi-tenant private cloud environment. the absolute power model is composed of both independent and dependent inferences. furthermore, a dynamic power model is trained to estimate the dynamic power in the multi-tenant private cloud environment based on the deconstructed independent inferences. the dynamic power model is composed of only the deconstructed independent inferences. the absolute power model and the dynamic power model are then combined into a combined model to model the power in the multi-tenant private cloud environment after validating the dynamic power model. the combined model may then be utilized to estimate the power used in the multi-tenant private cloud environment if the error metrics of the combined model indicate that a measured error of the combined model is less than a threshold value.
