Dell products l.p. (20240176526). METHOD AND SYSTEM TO DETERMINE A SUITABLE MIGRATION ENVIRONMENT FOR APPLICATIONS IN A DISTRIBUTED ENVIRONMENT simplified abstract
Contents
- 1 METHOD AND SYSTEM TO DETERMINE A SUITABLE MIGRATION ENVIRONMENT FOR APPLICATIONS IN A DISTRIBUTED ENVIRONMENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND SYSTEM TO DETERMINE A SUITABLE MIGRATION ENVIRONMENT FOR APPLICATIONS IN A DISTRIBUTED ENVIRONMENT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHOD AND SYSTEM TO DETERMINE A SUITABLE MIGRATION ENVIRONMENT FOR APPLICATIONS IN A DISTRIBUTED ENVIRONMENT
Organization Name
Inventor(s)
Parminder Singh Sethi of Ludhiana (IN)
Lakshmi Saroja Nalam of Bangalore (IN)
Shelesh Chopra of Bangalore (IN)
METHOD AND SYSTEM TO DETERMINE A SUITABLE MIGRATION ENVIRONMENT FOR APPLICATIONS IN A DISTRIBUTED ENVIRONMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240176526 titled 'METHOD AND SYSTEM TO DETERMINE A SUITABLE MIGRATION ENVIRONMENT FOR APPLICATIONS IN A DISTRIBUTED ENVIRONMENT
Simplified Explanation
The abstract describes a method for managing application migration by inferring dependencies and connectivity among applications, generating a target infrastructure node configuration template, determining if the current configuration does not satisfy the template, obtaining weights for inferred parameters, executing a model to obtain a deviation score for a new target infrastructure node, generating a migration recommendation based on the deviation score, and displaying the recommendation to the user.
- Inferring dependencies and connectivity among applications
- Generating a target infrastructure node configuration template
- Determining if the current configuration does not satisfy the template
- Obtaining weights for inferred parameters
- Executing a model to obtain a deviation score for a new target infrastructure node
- Generating a migration recommendation based on the deviation score
- Displaying the recommendation to the user
Potential Applications
This technology could be applied in cloud computing environments, data center management, and IT infrastructure optimization.
Problems Solved
This technology helps in efficiently managing application migration, ensuring compatibility and connectivity among applications, and optimizing infrastructure configurations.
Benefits
The benefits of this technology include improved application performance, reduced downtime during migration, enhanced scalability, and better resource utilization.
Potential Commercial Applications
Potential commercial applications of this technology include cloud service providers, IT consulting firms, data center management companies, and enterprise software vendors.
Possible Prior Art
One possible prior art could be automated migration tools used in cloud computing environments to optimize resource allocation and application performance during migration processes.
Unanswered Questions
How does this technology handle security considerations during application migration?
This article does not address the specific security measures implemented to ensure data protection and compliance during the migration process.
What are the scalability limitations of this method when dealing with a large number of applications and infrastructure nodes?
The article does not provide information on the scalability of the method when managing a significant volume of applications and infrastructure nodes simultaneously.
Original Abstract Submitted
a method for managing application migration includes: inferring dependencies and connectivity among applications executing on a system; generating a target infrastructure node (in) configuration template based on the inferred dependencies and connectivity; making a determination that a configuration of a target in does not satisfy the template, in which an application is executing on an in, in which the application is not executing on the target in; in response to the determination: obtaining a weight for each inferred parameter in the template, in which the inferred parameters comprises the inferred dependencies and connectivity, in which the weight for each inferred parameter is configured by a user; executing, based on the weights, a model to obtain a deviation score for a second target in; generating, based on the deviation score, a migration recommendation specifying the second target in; and initiating a display of the migration recommendation to the user.
