18345694. MACHINE-LEARNING MODEL & INTERFACE FOR PLANNING, PREDICTING, AND IMPLEMENTING CLOUD RESOURCE SYSTEMS simplified abstract (Oracle International Corporation)
Contents
- 1 MACHINE-LEARNING MODEL & INTERFACE FOR PLANNING, PREDICTING, AND IMPLEMENTING CLOUD RESOURCE SYSTEMS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MACHINE-LEARNING MODEL & INTERFACE FOR PLANNING, PREDICTING, AND IMPLEMENTING CLOUD RESOURCE SYSTEMS - 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
MACHINE-LEARNING MODEL & INTERFACE FOR PLANNING, PREDICTING, AND IMPLEMENTING CLOUD RESOURCE SYSTEMS
Organization Name
Oracle International Corporation
Inventor(s)
Alison J. Derbenwick Miller of Castle Pines CO (US)
Pablo Selem of Bellevue WA (US)
Sowmya Bali of Redmond WA (US)
Manoj Krishna Ghosh of Sammamish WA (US)
MACHINE-LEARNING MODEL & INTERFACE FOR PLANNING, PREDICTING, AND IMPLEMENTING CLOUD RESOURCE SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18345694 titled 'MACHINE-LEARNING MODEL & INTERFACE FOR PLANNING, PREDICTING, AND IMPLEMENTING CLOUD RESOURCE SYSTEMS
Simplified Explanation
The patent application describes techniques for presenting a graphical user interface (GUI) for configuring a cloud service workstation. The GUI displays various workstation configurations and their associated costs, allowing users to modify configurations and receive updated cost information. Users can request different configurations based on inputs like budget, application service domain, duration, or processing power requirements.
- The system presents a GUI with workstation configurations and costs.
- Users can modify configurations and see updated cost information.
- Users can request different configurations based on various inputs.
- The GUI may recommend configurations based on user inputs.
Potential Applications
This technology could be applied in cloud service providers, IT departments, and software development companies to streamline workstation configuration processes.
Problems Solved
This technology simplifies the process of configuring cloud service workstations by providing users with cost information and allowing them to easily modify configurations based on their requirements.
Benefits
The benefits of this technology include improved efficiency in configuring workstations, cost transparency, and user-friendly interface for users to make informed decisions.
Potential Commercial Applications
Potential commercial applications of this technology include cloud service providers offering workstation configuration services, software companies integrating this technology into their products, and IT consulting firms utilizing this system for client projects.
Possible Prior Art
One possible prior art could be existing cloud service configuration tools that provide users with options to customize their workstations but may not offer real-time cost updates or recommendations based on user inputs.
Unanswered Questions
The patent application does not provide details on how security and data privacy concerns are addressed in the system. This is an important aspect to consider, especially when dealing with sensitive information in cloud service configurations.
Are there any limitations to the types of workstation configurations that can be presented and modified through the GUI?
The patent application does not mention any limitations on the types of workstation configurations that can be presented and modified. It would be helpful to know if there are any restrictions or constraints in place for users when configuring their workstations.
Original Abstract Submitted
Techniques for presenting a graphical user interface (GUI) for configuring a cloud service workstation are disclosed. The system presents a GUI that presents a plurality of possible workstation configurations and the costs associated with each respective workstation configuration, prior to creation of a workstation. The GUI updates the cost associated with a workstation configuration responsive to receiving a selection to modify the workstation configuration from a user. The user may request a different configuration based on a single user input, without specifying which resources to modify. The GUI may recommend a workstation configuration based on one or more user inputs such as a budget, an application service domain, a duration, or a processing power requirement.
