17933196. INTELLIGENT FUNCTION EXECUTION LEVERAGING METADATA simplified abstract (Dell Products L.P.)
Contents
- 1 INTELLIGENT FUNCTION EXECUTION LEVERAGING METADATA
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INTELLIGENT FUNCTION EXECUTION LEVERAGING METADATA - 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 How does this technology impact the overall cost of serverless platforms?
- 1.11 What security measures are in place to protect the metadata used for function placement?
- 1.12 Original Abstract Submitted
INTELLIGENT FUNCTION EXECUTION LEVERAGING METADATA
Organization Name
Inventor(s)
Joel Christner of El Dorado Hills CA (US)
Trevor Scott Conn of Leander TX (US)
INTELLIGENT FUNCTION EXECUTION LEVERAGING METADATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 17933196 titled 'INTELLIGENT FUNCTION EXECUTION LEVERAGING METADATA
Simplified Explanation
Executing functions in serverless platforms leveraging metadata is disclosed. Embodiments of the invention related to using metadata when placing and/or executing functions. The metadata includes request metadata, container or function metadata, node metadata, and/or data metadata. The metadata allows a function to be placed and executed in a manner that accounts for user intent, container requirements, node resources, and data location. Functions can be placed across different serverless platforms. Once the metadata is evaluated and a location is selected, a function is placed and executed at the selected location.
- Request metadata, container or function metadata, node metadata, and data metadata are used to determine the placement and execution of functions in serverless platforms.
- The metadata ensures that functions are placed and executed in a way that considers user intent, container requirements, node resources, and data location.
- Functions can be distributed across various serverless platforms based on the evaluated metadata.
- The selected location for function placement is determined after evaluating the metadata, leading to efficient execution.
Potential Applications
This technology can be applied in:
- Cloud computing environments
- IoT systems
- Big data processing platforms
Problems Solved
This technology solves issues related to:
- Efficient function placement in serverless platforms
- Optimizing resource utilization
- Enhancing data processing capabilities
Benefits
The benefits of this technology include:
- Improved performance of serverless platforms
- Enhanced scalability and flexibility
- Better resource management
Potential Commercial Applications
Potential commercial applications of this technology include:
- Cloud service providers
- Data analytics companies
- IoT solution providers
Possible Prior Art
One possible prior art could be the use of metadata in cloud computing environments to optimize resource allocation and task execution.
Unanswered Questions
How does this technology impact the overall cost of serverless platforms?
This article does not address the potential cost implications of using metadata for function placement in serverless platforms. The cost-effectiveness of this approach could be a crucial factor for organizations considering its adoption.
What security measures are in place to protect the metadata used for function placement?
The article does not delve into the security aspects of handling metadata for function placement. Ensuring the confidentiality and integrity of the metadata is essential to prevent unauthorized access or manipulation.
Original Abstract Submitted
Executing functions in serverless platforms leveraging metadata is disclosed. Embodiments of the invention related to using metadata when placing and/or executing functions. The metadata includes request metadata, container or function metadata, node metadata, and/or data metadata. The metadata allows a function to be placed and executed in a manner that accounts for user intent, container requirements, node resources, and data location. Functions can be placed across different serverless platforms. Once the metadata is evaluated and a location is selected, a function is placed and executed at the selected location.