Dependable and Efficient Cloud-Based Safety-Critical Applications by Example of Automated Valet Parking

Christian Drabek, Dhavalkumar Shekhada, Gereon Weiss, Mario Trapp, Tasuku Ishigooka, Satoshi Otsuka, Mariko Mizuochi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Future embedded systems and services will be seamlessly connected and will interact on all levels with the infrastructure and cloud. For safety-critical applications this means that it is not sufficient to ensure dependability in a single embedded system, but it is necessary to cover the complete service chain including all involved embedded systems as well as involved services running in the edge or the cloud. However, for the development of such Cyber-Physical Systems-of-Systems (CPSoS) engineers must consider all kinds of dependability requirements. For example, it is not an option to ensure safety by impeding reliability or availability requirements. In fact, it is the engineers’ task to optimize the CPSoS’ performance without violating any safety goals. In this paper, we identify the main challenges of developing CPSoS based on several industrial use cases and present our novel approach for designing cloud-based safety-critical applications with optimized performance by the example of an automated valet parking system. The evaluation shows that our monitoring and recovery solution ensures a superior performance in comparison to current methods, while meeting the system’s safety demands in case of connectivity-related faults.

Original languageEnglish
Title of host publicationIntelligent Transport Systems, From Research and Development to the Market Uptake - 4th EAI International Conference, INTSYS 2020, Proceedings
EditorsAna Lúcia Martins, João C. Ferreira, Alexander Kocian, Vera Costa
PublisherSpringer Science and Business Media Deutschland GmbH
Pages90-109
Number of pages20
ISBN (Print)9783030714536
DOIs
StatePublished - 2021
Externally publishedYes
Event4th EAI International Conference on Intelligent Transport Systems, INTSYS 2020 - Porto, Portugal
Duration: 3 Dec 20203 Dec 2020

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume364 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference4th EAI International Conference on Intelligent Transport Systems, INTSYS 2020
Country/TerritoryPortugal
CityPorto
Period3/12/203/12/20

Keywords

  • Automated recovery
  • Cyber-Physical Systems of Systems
  • Fail-operational
  • Graceful degradation
  • Monitoring
  • Self-awareness

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