A Data-based Approach to Predict the Response Time of Cloud-based Vehicle Functions

Abstract

Future vehicular applications require sufficient computing and storage resources. Actual on-board resources are limited and inadequate to deal with steadily increasing requirements. In order to overcome the computational limitation in vehicles, computing intensive functions can be offloaded to a cloud. The so-called cloud-based vehicle functions run in the cloud and utilize cloud capability instead of vehicle's on-board resources. The suitability of the vehicle functions for outsourcing to the cloud should be ensured in an early stage of development. Otherwise, shifting improper functions can lead to serious consequences for the vehicle control system. By the suitability analysis several criteria like functional safety, data dependency and response time should be considered. In this paper, we focus on the criterion response time and present a framework to predict the response time along a sample route.