Motor Vehicle Computing Power Allocation for Cloud Services
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Solution Overview
Problem
The growing computing power requirements in motor vehicles, driven by advanced driver assistance systems and infotainment systems, lead to inefficiencies in resource utilization, as vehicles often have unused computing capacity that is not effectively leveraged, especially when parked or in low-demand situations.
Innovation Solution
A method that allows motor vehicles to dynamically detect and utilize available computing power, connecting to clouds or fog networks to provide unused resources as a service, optimizing computing power allocation between vehicle-internal functions and cloud computing tasks, thereby reducing latency and enhancing global resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If computing power requirements in motor vehicles are increased to support advanced driver assistance systems and infotainment systems, then system functionality and performance are improved, but resource utilization efficiency deteriorates due to unused computing capacity
Solution Approach 1:
The computing devices in motor vehicles are designed to perform multiple functions: they handle vehicle-internal computing tasks (driver assistance systems, infotainment) and simultaneously provide unused computing power as a service to external cloud networks. This multi-functionality allows the same hardware resources to serve both local vehicle needs and external computing demands, improving overall resource utilization efficiency.
Solution Approach 2:
The motor vehicle computing devices automatically detect their own unused computing capacity and autonomously offer it as a service to external cloud networks without requiring manual intervention. The system self-manages the allocation and distribution of computing resources, enabling vehicles to serve themselves as both consumers and providers of computing power.
2Power
If dedicated computing power is provided in motor vehicles for advanced systems, then system performance is improved, but infrastructure cost increases due to need for additional computing resources
Solution Approach 1:
The patent merges the computing infrastructure of multiple motor vehicles with external cloud networks to create a distributed computing resource pool. Instead of each vehicle requiring dedicated high-performance computing hardware, the system combines unused computing power from many vehicles to collectively provide the necessary infrastructure capacity, reducing individual and total infrastructure costs.
Solution Approach 2:
Existing computing devices in motor vehicles are made multi-functional by enabling them to serve both vehicle operations and external cloud computing needs. This eliminates the requirement for separate dedicated computing infrastructure, as the same hardware resources dynamically serve multiple purposes based on demand.
3Power
If computing tasks are executed in remote cloud data centers, then centralized processing capability is improved, but computing latency increases due to data transmission distance
Solution Approach 1:
The patent segments the centralized cloud computing model into distributed edge computing nodes located at motor vehicles. Instead of all computing tasks being processed at remote data centers, the system divides workloads and executes them at distributed locations closer to data sources and consumers, reducing transmission latency while maintaining processing capability.
Solution Approach 2:
The system transitions from a single-dimensional centralized cloud model to a multi-dimensional distributed architecture where computing power is distributed across spatial dimensions (multiple vehicles at different locations) and functional dimensions (vehicle-internal tasks and external cloud tasks). This dimensional expansion reduces latency by placing computing resources closer to where data is generated and consumed.
Data Source
AI summary
A method is disclosed for operating a motor vehicle having a computing device providing computing power, a communication device for communicating with a vehicle-external cloud provided with a server device, and a control device, wherein the control device performs an availability check indicating the existence of free computing power available from the motor vehicle for executing a computing task provided by a currently-reachable cloud as determined by the motor vehicle's communication device. From within a list of currently-reachable clouds, a target cloud to which the motor vehicle's computing power must be provided is selected either manually by user input or at least partially automatically based on availability parameters. Once a target cloud is selected, a communication link with the target cloud is established and the motor vehicle is logged into the target cloud as a provider of computing power. A motor vehicle for performing the method is also disclosed.