Farzaneh Milani

Suitability Analysis Methodology for Cloud-based Vehicle Functions


Front	Back

ISBN:

978-3-8440-7689-9

Series:

Schriftenreihe des Instituts für Verbrennungskraftmaschinen und Fahrzeugantriebe
Herausgeber: Prof. Dr. techn. Christian Beidl
Darmstadt

Volume:

Keywords:

cloud-based vehicle functions; Cloud computing for vehicular applications; Cloud-connected vehicles; Vehicles using cloud

Type of publication:

Thesis

Language:

English

Pages:

214 pages

Figures:

83 figures

Weight:

318 g

Format:

21 x 14,8 cm

Bindung:

Paperback

Price:

49,80 € / 62,30 SFr

Published:

November 2020 - in preparation

Buy:

Recommendation:

You want to recommend this title?

Review copy

Here you can order a review copy.

Link

You want to link this page? Click here.

Abstract

Future vehicular applications require sufficient computing and storage resources. Actual onboard resources are limited and not sufficient to deal with steadily increasing requirements. The term cloud computing has emerged as a new paradigm to overcome the computational and resource limitations in vehicles, whereby computing-intensive functions can be offloaded to a cloud. The so-called cloud-based vehicle functions (CB-VFs) run temporarily or permanently in the cloud and use cloud capability instead of onboard resources. However, this concept is facing several technical challenges, particularly due to the time-critical characteristics of vehicle applications. Thus, the suitability of functions for outsourcing must be ensured in an early stage of development.

In this thesis, a new methodology for suitability analysis of CB-VFs is developed. This method makes it possible to assess the feasibility of vehicle applications for outsourcing to a central cloud. Furthermore, the suitability of cloud and Electronic Control Units (ECUs) regarding the fulfillment of function requirements can be compared. The developed method supports function developers to ascertain the most appropriate environment for functions under development.