Vehicle Computing Resource Selection in Parked Charging States
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Solution Overview
Problem
Existing systems fail to efficiently select and utilize computing resources from vehicles in a parked and charging state for providing services to target vehicles, limiting the availability and stability of computing power.
Innovation Solution
A management server collectively manages computing resources from vehicles and network-based servers, prioritizing those in a parked and charging state to optimize resource allocation and service provision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If computing resources from vehicles in parked and charging state are utilized for providing services, then the available computing power increases and service stability improves, but the complexity of resource management and selection increases
Solution Approach 1:
An information processing device is introduced as an intermediary to manage the complexity of selecting computing resources from multiple vehicles. This device receives service requests, evaluates available computing resources from vehicles in parked and charging states, and selects appropriate resources, thereby shielding service providers from the complexity of direct resource management while improving service stability through systematic resource selection.
Solution Approach 2:
The system implements feedback mechanisms where the information processing device continuously monitors the status of computing resources from vehicles, evaluates their availability and performance, and adjusts resource selection based on this feedback. This enables dynamic optimization of service delivery while maintaining stability, as the system can adapt to changing resource conditions without manual intervention.
2Power
If computing resources are selected from multiple vehicles, then the available power increases, but the difficulty of detecting and measuring resource availability increases
Solution Approach 1:
The information processing device merges the detection and measurement functions for multiple vehicle computing resources into a single centralized system. By consolidating resource status monitoring, evaluation, and selection into one device, the system can aggregate computing power from multiple vehicles while managing the complexity of detecting and measuring resource availability through unified interfaces and standardized protocols.
3Productivity
If vehicles in parked and charging state are used as computing resources, then resource utilization efficiency improves, but the device complexity for managing vehicle states increases
Solution Approach 1:
The information processing device is designed with multi-functionality to handle various vehicle states (parked, charging, moving) and perform multiple operations (resource detection, evaluation, selection, and management). This universal device can adapt to different vehicle conditions and manage diverse computing resources through standardized processes, thereby improving resource utilization efficiency without proportionally increasing management complexity.
Data Source
AI summary
An information processing device comprises a control unit that acquires information indicating each of a first computing resource and a second computing resource that are collectively-managed computing resources, the first computing resource being provided in each of one or more vehicles, the second computing resource being a computing resource placed within a network, and outputs information indicating a computing resource for providing a service to a target vehicle, the computing resource being selected from among the first computing resource and the second computing resource, wherein each of the one or more vehicles is in a parked state and in a charging state where a secondary cell that supplies power to a motor provided in each of the one or more vehicles is being charged.