The TeamPlay Project: Analysing and Optimising Time, Energy, and Security for Cyber-Physical Systems

Non-functional properties, such as energy, time, and security (ETS) are becoming increasingly important in Cyber-Physical Systems (CPS) programming. This article describes TeamPlay, a research project funded under the EU Horizon 2020 programme between January 2018 and June 2021. TeamPlay aimed to pr...

Full description

Saved in:
Bibliographic Details
Published in2023 Design, Automation & Test in Europe Conference & Exhibition (DATE) pp. 1 - 6
Main Authors Rouxel, Benjamin, Brown, Christopher, Ebeid, Emad, Eder, Kerstin, Falk, Heiko, Grelck, Clemens, Holst, Jesper, Jadhav, Shashank, Marquer, Yoann, De Alejandro, Marcos Martinez, Nikov, Kris, Sahafi, Ali, Lundquist, Ulrik Pagh Schultz, Seewald, Adam, Vassalos, Vangelis, Wegener, Simon, Zendra, Olivier
Format Conference Proceeding
LanguageEnglish
Published EDAA 01.04.2023
Subjects
Cyber-physical systems
Deep learning
Energy
Hardware
Java
Programming
Python
Real-Time
Security
Software
Source coding
Space vehicles
System design
Online AccessGet full text

Cover

More Information
Summary:Non-functional properties, such as energy, time, and security (ETS) are becoming increasingly important in Cyber-Physical Systems (CPS) programming. This article describes TeamPlay, a research project funded under the EU Horizon 2020 programme between January 2018 and June 2021. TeamPlay aimed to provide the system designer with a toolchain for developing embedded applications where ETS properties are first-class citizens, allowing the developer to reflect directly on energy, time and security properties at the source code level. In this paper we give an overview of the TeamPlay methodology, introduce the challenges and solutions of our approach and summarise the results achieved. Overall, applying our TeamPlay methodology led to an improvement of up to 18% performance and 52% energy usage over traditional approaches.
ISSN:1558-1101
DOI:10.23919/DATE56975.2023.10137198