Bank of America Corporation (20240378482). Containerization of legacy applications using quantum computing simplified abstract
Contents
Containerization of legacy applications using quantum computing
Organization Name
Inventor(s)
Shailendra Singh of Thane West (IN)
Containerization of legacy applications using quantum computing - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240378482 titled 'Containerization of legacy applications using quantum computing
The method described in the abstract involves analyzing the application code of a legacy application to generate multiple container configurations for a containerized application. These configurations include container images and application programming interfaces, which are then used to create an initial quantum state. Each configuration is simulated, leading to the generation of a final quantum state containing performance scores represented using quantum bits. The total performance score for each configuration is determined based on a rule, with the highest score identifying the best configuration. This improved configuration is then deployed to a cloud computing system.
- Application code of a legacy application is analyzed to create multiple container configurations.
- Each configuration includes container images and application programming interfaces.
- Initial quantum state is generated from the configurations, which are then simulated.
- Final quantum state with performance scores for each configuration is produced.
- Total performance scores are determined based on a rule, with the highest score indicating the best configuration.
- Improved container configuration is deployed to a cloud computing system.
Potential Applications: - Optimization of container configurations for legacy applications. - Efficient deployment of containerized applications in cloud computing environments.
Problems Solved: - Streamlining the process of containerizing legacy applications. - Enhancing performance and efficiency of containerized applications.
Benefits: - Improved performance and efficiency of containerized applications. - Simplified deployment process for legacy applications in cloud environments.
Commercial Applications: Title: "Enhanced Container Configuration Optimization for Legacy Applications" This technology can be utilized by cloud service providers, IT companies, and software developers to streamline the containerization process and improve the performance of legacy applications in cloud environments. This innovation has the potential to reduce costs and enhance overall efficiency in application deployment.
Prior Art: Readers interested in exploring prior art related to this technology can start by researching quantum computing applications in cloud computing and containerization technologies.
Frequently Updated Research: Stay updated on advancements in quantum computing, containerization technologies, and cloud computing to leverage the latest developments in optimizing legacy application deployment.
Questions about Enhanced Container Configuration Optimization for Legacy Applications:
1. How does this technology improve the performance of legacy applications in cloud environments? - This technology enhances performance by optimizing container configurations based on quantum computing principles, resulting in improved efficiency and scalability.
2. What are the potential cost-saving benefits of deploying containerized applications using this method? - By optimizing container configurations and improving performance, this technology can lead to cost savings through enhanced resource utilization and streamlined deployment processes.
Original Abstract Submitted
a method includes receiving an application code of a legacy application. the application code is analyzed to generate a plurality of container configurations for a containerized application. each container configuration includes a plurality of container images and a plurality of application programming interfaces. an initial quantum state is generated from the plurality of container configurations. each container configuration is simulated. a final quantum state is generated from the initial quantum state. the final quantum state includes performance scores for each container configuration represented using quantum bits. a total performance score is determined for each container configuration based on the performance scores and a rule. a highest total performance score is determined. an improved container configuration is determined from the plurality of container configurations based on the highest total performance score. a containerized application code having the improved container configuration is deployed to a cloud computing system.
