QUALCOMM Incorporated (20240303118). Managing Vehicle Computing Resources simplified abstract
Contents
- 1 Managing Vehicle Computing Resources
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Managing Vehicle Computing Resources - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about the Technology
- 1.11 Original Abstract Submitted
Managing Vehicle Computing Resources
Organization Name
Inventor(s)
Kapil Gulati of Belle Mead NJ (US)
Hong Cheng of Basking Ridge NJ (US)
Shailesh Patil of San Diego CA (US)
Gene Wesley Marsh of San Diego CA (US)
Managing Vehicle Computing Resources - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240303118 titled 'Managing Vehicle Computing Resources
Simplified Explanation
The patent application describes methods and systems for identifying vehicle computing resources that can be used to support remote computing systems with edge computing services. This involves selecting available computing capacity in a vehicle computing system based on its operating state and offering this capacity to perform computing tasks from a network computing device.
- Identifying vehicle computing resources with capacity for edge computing services
- Selecting available computing capacity based on the operating state of the vehicle computing system
- Offering the available computing capacity to perform computing tasks from a network computing device
Key Features and Innovation
- Identification of vehicle computing resources for edge computing services
- Selection of computing capacity based on operating state
- Offering computing capacity for remote computing tasks
Potential Applications
This technology could be used in autonomous vehicles, smart transportation systems, and connected car services.
Problems Solved
This technology addresses the need for efficient utilization of computing resources in vehicles for edge computing services.
Benefits
- Improved efficiency in utilizing vehicle computing resources
- Enhanced support for remote computing systems
- Increased capacity for edge computing services
Commercial Applications
- Autonomous vehicle technology
- Smart transportation systems
- Connected car services
Questions about the Technology
What are the potential applications of this technology in the automotive industry?
This technology could be applied in autonomous vehicles, smart transportation systems, and connected car services to enhance computing capabilities.
How does this technology improve the efficiency of edge computing services in vehicles?
By identifying available computing capacity based on the operating state of the vehicle computing system, this technology optimizes the utilization of resources for edge computing tasks.
Original Abstract Submitted
various embodiments include methods and systems for identifying vehicle computing resources with capacity that can be offered to support remote computing systems with edge computing services. various embodiments may include identifying an operating state of a vehicle computing system not responsible for vehicle navigation or maneuvering, selecting an available computing capacity of the computing system based on the identified operating state, and offering the available computing capacity of the computing system to perform a computing task received from a network computing device. in some embodiments, selecting an available computing capacity of the computing system may include identifying a predetermined available computing capacity of the computing system corresponding to the identified operating state in a data table stored in memory. in some embodiments, identifying the operating state of the computing system may include receiving information regarding which of a limited number of system functions that the computing system is performing.