Research on Intelligent Scheduling of Vehicle Cloud Integration Driven by Big Data
The rapid development of Internet technology promotes the cloud migration of car machine applications,and provides more powerful computing power,rich functions and entertainment resources by virtue of the unlimited expansion capability of the cloud.In the G-Cloud cloud space project,rich cloud ecosystem services are obtained by providing corresponding cloud instances for each car user,but the challenge encountered is the conflict between improving user satisfaction and saving costs.On the one hand,we hope to provide as many online cloud instance resources as possible for users to use anytime without waiting;On the other hand,the activation of instances corresponds to the expenditure of costs,and it is impossible to provide unlimited cloud resources.Non active resources need to be closed for users in need,while reducing resource waste.A better solution is based on user needs,combined with real-time system resources,using big data-driven technology to intelligently trigger instance preloading and release operations.
big data learningvehicle cloud integrationintelligent scheduling
万方数据
维普
