[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3185768.3186306acmconferencesArticle/Chapter ViewAbstractPublication PagesicpeConference Proceedingsconference-collections
research-article

Performance Modelling of Smart Cyber-Physical Systems

Published: 02 April 2018 Publication History

Abstract

Context: the dynamic nature of complex Cyber-Physical Systems (CPS) introduces new research challenges since they need to smartly self-adapt to changing situations in their environment. This triggers the usage of methodologies that keep track of changes and raise alarms whether extra-functional requirements (e.g., safety, reliability, performance) are violated. Objective: this paper investigates the usage of software performance engineering techniques as support to provide a model-based performance evaluation of smart CPS. The goal is to understand at which extent performance models, specifically Queueing Networks (QN), are suitable to represent these dynamic scenarios. Method and Results: we evaluate the performance characteristics of a smart parking application where cars need to communicate with hot-spots to find an empty spot to park. Through QN we are able to efficiently derive performance predictions that are compared with long-run simulations, and the relative error of model-based analysis results is no larger than 10% when transient or congestion states are discarded. Conclusion: the usage of performance models is promising in this domain and our goal is to experiment further performance models in other CPS case studies to assess their effectiveness.

References

[1]
Radhakisan Baheti and Helen Gill. 2011. Cyber-physical systems. The impact of control technology Vol. 12 (2011), 161--166.
[2]
Simonetta Balsamo and Vittoria de Nitto Personè. 1994. A survey of product form queueing networks with blocking and their equivalences. Annals of Operations research Vol. 48, 1 (1994), 31--61.
[3]
Steffen et Al. Becker. 2012. The MechatronicUML design method-- process, syntax, and semantics. SE group, University of Paderborn, Tech. Rep. tr-ri-12--326 (2012).
[4]
Giuliano Casale and Giuseppe Serazzi. 2011. Quantitative system evaluation with Java modeling tools WOSP/SIPEW Conference. 449--454.
[5]
Patricia Derler, Edward A Lee, and Alberto Sangiovanni Vincentelli. 2012. Modeling cyber--physical systems. IEEE, Vol. 100, 1 (2012), 13--28.
[6]
Rima Al Ali et Al. 2014. DEECo: an ecosystem for cyber-physical systems. In ICSE Companion. 610--611.
[7]
Allan Edgard Silva Freitas and Romildo Martins da Silva Bezerra. 2016. Performance Evaluation of Cyber-Physical Systems. ICIC Express Letters Vol. 10 (2016).
[8]
Florian Hagenauer, Falko Dressler, and Christoph Sommer. 2014. Poster: A simulator for heterogeneous vehicular networks 2014 IEEE Vehicular Networking Conference (VNC). 185--186.

Cited By

View all
  • (2023)Modeling more software performance antipatterns in cyber-physical systemsSoftware and Systems Modeling10.1007/s10270-023-01137-x23:4(1003-1023)Online publication date: 20-Dec-2023
  • (2022)Autonomic Resource Management for Fog ComputingIEEE Transactions on Cloud Computing10.1109/TCC.2021.306462910:4(2334-2350)Online publication date: 1-Oct-2022
  • (2022)Organizing the fragmented landscape of multidisciplinary product development: a mapping of approaches, processes, methods and tools from the scientific literatureResearch in Engineering Design10.1007/s00163-022-00389-w33:3(307-349)Online publication date: 17-May-2022
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
ICPE '18: Companion of the 2018 ACM/SPEC International Conference on Performance Engineering
April 2018
212 pages
ISBN:9781450356299
DOI:10.1145/3185768
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 April 2018

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. cyber-physical systems
  2. model-based performance modelling
  3. queueing networks

Qualifiers

  • Research-article

Conference

ICPE '18

Acceptance Rates

Overall Acceptance Rate 238 of 793 submissions, 30%

Upcoming Conference

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)6
  • Downloads (Last 6 weeks)0
Reflects downloads up to 16 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2023)Modeling more software performance antipatterns in cyber-physical systemsSoftware and Systems Modeling10.1007/s10270-023-01137-x23:4(1003-1023)Online publication date: 20-Dec-2023
  • (2022)Autonomic Resource Management for Fog ComputingIEEE Transactions on Cloud Computing10.1109/TCC.2021.306462910:4(2334-2350)Online publication date: 1-Oct-2022
  • (2022)Organizing the fragmented landscape of multidisciplinary product development: a mapping of approaches, processes, methods and tools from the scientific literatureResearch in Engineering Design10.1007/s00163-022-00389-w33:3(307-349)Online publication date: 17-May-2022
  • (2021)QN-based Modeling and Analysis of Software Performance Antipatterns for Cyber-Physical SystemsProceedings of the ACM/SPEC International Conference on Performance Engineering10.1145/3427921.3450251(93-104)Online publication date: 9-Apr-2021
  • (2021)Performance Analysis of Mobile Computing in Edge/Cloud Configurations with Feedback2021 IEEE Globecom Workshops (GC Wkshps)10.1109/GCWkshps52748.2021.9681975(1-5)Online publication date: Dec-2021
  • (2021)A Comprehensive Review on Cyber Physical System and Its Applications in Robotic Process AutomationInnovations in Bio-Inspired Computing and Applications10.1007/978-3-030-73603-3_29(311-322)Online publication date: 10-Apr-2021
  • (2020)Performance Analysis of Edge-Fog-Cloud Architectures in the Internet of Things2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC)10.1109/UCC48980.2020.00059(374-379)Online publication date: Dec-2020
  • (2020)Engineering cyber‐physical systems through performance‐based modelling and analysisJournal of Software: Evolution and Process10.1002/smr.217932:1Online publication date: 15-Jan-2020
  • (2019)To what extent formal methods are applicable for performance analysis of smart cyber-physical systems?Proceedings of the 13th European Conference on Software Architecture - Volume 210.1145/3344948.3344990(139-144)Online publication date: 9-Sep-2019
  • (2019)Security of Cyberphysical Systems: Chaining Induction and DeductionComputer10.1109/MC.2019.291313852:7(72-75)Online publication date: Jul-2019
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media