Vehicle Control Units for Distributed Data Processing
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Solution Overview
Problem
The demand for computing power in transportation vehicle development is increasing due to advanced technologies like machine learning and simulations, but traditional methods such as setting up computation centers or using cloud services are costly and inflexible, raising concerns about data protection and infrastructure costs.
Innovation Solution
Utilizing transportation vehicles as distributed compute units, leveraging their underutilized control units and internet connectivity to process partial tasks of distributed data processing, with a central office coordinating and aggregating results, allowing for efficient and flexible computing without the need for new infrastructure or cloud services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If transportation vehicles are used as distributed compute units, then computing power and flexibility are improved, but system complexity and coordination overhead increase
Solution Approach 1:
The patent divides the data processing task into multiple partial tasks and distributes them to different transportation vehicles. Each vehicle's control unit independently processes its assigned partial task, transforming a centralized complex processing system into multiple simple distributed processing nodes, thereby improving computing power while keeping individual node complexity low.
Solution Approach 2:
The control units in transportation vehicles, originally designed for vehicle control functions, are made multi-functional by enabling them to also perform data processing computations. This allows existing vehicles to serve dual purposes without adding dedicated computing hardware, improving computing power while avoiding increased device complexity.
2Ease of manufacture
If underutilized control units in transportation vehicles are leveraged, then infrastructure costs are reduced, but data protection risks increase
Solution Approach 1:
The patent utilizes the existing control units in transportation vehicles that are already deployed and underutilized for their primary functions. These self-existing resources are repurposed for data processing without requiring new infrastructure investment, thereby reducing infrastructure costs while leveraging already-secured hardware environments.
Solution Approach 2:
The patent introduces a task management system that acts as an intermediary between data sources and distributed control units. This intermediary coordinates task distribution, monitors execution, and manages data flow, providing a layer of control and security that mitigates data protection risks while enabling cost-effective use of existing infrastructure.
3Productivity
If distributed data processing is implemented across multiple vehicles, then processing capacity increases, but communication overhead and coordination requirements increase
Solution Approach 1:
The patent segments the overall data processing task into independent partial tasks that can be executed in parallel across multiple vehicles. By dividing the workload into discrete, manageable units with clear boundaries, the system achieves high processing capacity while minimizing the communication overhead required to coordinate between nodes, as each partial task can be processed independently.
Data Source
AI summary
Apparatuses, methods and computer programs for a transportation vehicle and a central office. The apparatus includes a communication module for communication with a central office and a computation module for controlling the communication module. The computation module receives a partial task of a distributed data processing from the central office, computes the partial task of the distributed data processing to obtain a result of the partial task, and provides the result of the partial task for the central office.