Dynamic Vehicle Cloud Server for Smart City Peak Demand
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Smart city cloud infrastructure often experiences overloads during events, leading to service bottlenecks or crashes due to sudden demand surges, which existing technologies fail to adequately address by providing temporary solutions.
Innovation Solution
A dynamic vehicle cloud system that predicts demand for cloud services and caches them on vehicles equipped with network endpoint devices, forming a temporary vehicular cloud to supplement the infrastructure and ensure uninterrupted service during peak demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cloud infrastructure is expanded to handle peak demand, then service reliability is improved, but infrastructure cost and complexity increase
Solution Approach 1:
The system dynamically provisions cloud services by transitioning vehicles between idle and active states based on real-time demand. During peak events, vehicles are activated to provide cloud services; during off-peak times, they return to idle state. This dynamic state transition allows the infrastructure to adapt capacity to demand without permanent expansion.
Solution Approach 2:
Vehicles serve multiple functions: during off-peak times they perform normal transportation duties, and during peak events they simultaneously provide cloud service capabilities. The vehicle cloud server can deliver multiple cloud services (storage, computing, networking) through a single vehicle platform, maximizing resource utilization.
2Quantity of substance
If temporary data centers are deployed on vehicles, then peak demand capacity is improved, but system complexity increases
Solution Approach 1:
The system merges cloud service delivery with existing vehicle infrastructure. Instead of deploying separate temporary data centers, the patent combines cloud server functionality with vehicles that already possess computing resources, communication capabilities, and mobility. This integration reduces overall system complexity while achieving the same capacity expansion goal.
Solution Approach 2:
Vehicles equipped with cloud server capabilities autonomously provide cloud services during peak demand events. The vehicle cloud server automatically activates and delivers services when needed, reducing the need for external management infrastructure and simplifying the overall system architecture.
3Adaptability or versatility
If vehicles are used as mobile cloud servers, then infrastructure scalability is improved, but coordination complexity increases
Solution Approach 1:
The system implements feedback mechanisms where the vehicle cloud server continuously monitors demand conditions and communicates with the cloud service management system. Based on this feedback, vehicles are dynamically activated or deactivated, and service routing is adjusted in real-time. This feedback loop enables scalable coordination without requiring complex centralized control.
Data Source
AI summary
The present invention may include a computer identifies an event in an area. The computer predicts a demand for one or more cloud services for the event. The computer identifies a vehicle in an area of the event, where the vehicle have a dynamic vehicle cloud server and the computer caches the one or more cloud services for the event to the dynamic vehicle cloud server.