Dell products l.p. (20240305523). METHOD TO AUTO CORRECT THE DEFAULT RESOURCE ALLOCATION OF SERVICES IN A MIGRATION ENVIRONMENT simplified abstract
Contents
METHOD TO AUTO CORRECT THE DEFAULT RESOURCE ALLOCATION OF SERVICES IN A MIGRATION ENVIRONMENT
Organization Name
Inventor(s)
Parminder Singh Sethi of Ludhiana (IN)
Lakshmi Saroja Nalam of Bangalore (IN)
METHOD TO AUTO CORRECT THE DEFAULT RESOURCE ALLOCATION OF SERVICES IN A MIGRATION ENVIRONMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240305523 titled 'METHOD TO AUTO CORRECT THE DEFAULT RESOURCE ALLOCATION OF SERVICES IN A MIGRATION ENVIRONMENT
Simplified Explanation: The patent application describes a method for configuring resources in a cloud environment based on the analysis of current resource usage and forecasting future resource requirements of services migrating to the cloud.
- The method receives a request for migrating services to a cloud environment.
- It determines the default resource provisioning of the cloud environment.
- Analyzes the current resource usage of the services.
- Forecasts future resource requirements of the services.
- Compares the forecasted requirements with the default provisioning.
- Recommends a new level of resource provisioning if the forecasted requirements exceed a predetermined threshold.
Key Features and Innovation:
- Method for configuring resources in a cloud environment.
- Analysis of current resource usage.
- Forecasting future resource requirements.
- Comparison with default resource provisioning.
- Recommendation of new resource provisioning level.
Potential Applications: This technology can be applied in various industries such as IT, finance, healthcare, and e-commerce for efficient resource management in cloud environments.
Problems Solved:
- Inefficient resource allocation in cloud environments.
- Lack of accurate forecasting for resource requirements.
- Difficulty in determining optimal resource provisioning levels.
Benefits:
- Improved resource utilization.
- Cost savings through optimized resource allocation.
- Enhanced performance of services in the cloud environment.
Commercial Applications: Optimizing resource allocation in cloud environments can benefit cloud service providers, IT companies, and businesses relying on cloud services for their operations.
Questions about Cloud Resource Configuration: 1. How does the method determine the default resource provisioning of the cloud environment? 2. What are the potential challenges in accurately forecasting future resource requirements for services in a cloud environment?
Original Abstract Submitted
in accordance with one or more embodiments of the invention, a method is provided for configuring resources in a cloud environment. a request is received from a user requesting that a migration of one or more services to a cloud environment begin. once the request is received, the method determines a default resource provisioning of the cloud environment. the one or more services are analyzed to determine their current resource usage and based on their current usage, the method forecasts future resourced requirements of the one or more services. the method then compares the forecasted future resource requirements with that of the default resource provisioning of the cloud environment, and when the comparison is greater than a predetermined threshold a new level of resource provisioning is recommended.
