Vehicular Micro Cloud Reorganization for Dynamic Resource Shortages
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Solution Overview
Problem
Vehicular micro clouds face resource shortages when the computing resources requested by vehicles exceed the available resources, leading to rejected service requests or the need for external resource incorporation.
Innovation Solution
A system that reorganizes autonomous entities to join the vehicular micro cloud, dynamically adjusting their travel paths and speeds to provide additional resources while satisfying their travel requirements, thereby meeting the resource demand through V2X network communication and reorganization instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If autonomous entities are incorporated into the vehicular micro cloud to meet resource demand, then the resource availability of the vehicular micro cloud is improved, but the travel requirements of the autonomous entities may be compromised
Solution Approach 1:
The system dynamically adjusts the travel paths and speeds of autonomous entities based on real-time resource demands of the vehicular micro cloud. The reorganization manager continuously monitors resource availability and modifies the operational parameters of autonomous entities, making the system adaptable to changing conditions while balancing resource incorporation with travel requirement satisfaction
Solution Approach 2:
The system changes key parameters such as travel speed, route selection, and arrival time windows of autonomous entities to optimize resource contribution. By adjusting these parameters dynamically, the system can incorporate more autonomous entities into the vehicular micro cloud while maintaining acceptable travel performance for each entity
2Quantity of substance
If the vehicular micro cloud requests more computing resources from autonomous entities, then the resource demand fulfillment is improved, but the complexity of coordinating and managing these entities increases
Solution Approach 1:
The reorganization manager acts as an intermediary between the vehicular micro cloud and autonomous entities. It receives resource demand information from the micro cloud, processes this information, and generates appropriate reorganization instructions for autonomous entities. This intermediary layer simplifies the coordination complexity by centralizing the decision-making process and providing a standardized interface for resource requests and entity responses
Solution Approach 2:
The system implements a feedback mechanism where autonomous entities report their resource availability and travel status to the reorganization manager, which then adjusts reorganization instructions accordingly. This closed-loop control allows the system to manage increasing numbers of autonomous entities efficiently by continuously adapting to their actual states and capabilities
Data Source
AI summary
The disclosure includes embodiments for reorganizing autonomous entities to meet a resource demand of a vehicular micro cloud. In some embodiments, a method for a connected vehicle that is a member of the vehicular micro cloud includes modifying an operation of a communication unit of the connected vehicle to receive, via a Vehicle-to-Everything (V2X) network, a reorganization message that includes a reorganization instruction to fulfill the resource demand of the vehicular micro cloud. The method includes executing the reorganization instruction to incorporate one or more resources of an autonomous entity into a resource pool of the vehicular micro cloud so that the resource demand of the vehicular micro cloud is met.