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Citations Report
 
 
Cited Paper
[Jrnl 1]Towards mixed criticality task scheduling in cyber physical systems: Challenges and perspectives
Author(s): Capota, Eugenia A.; Stangaciu, Cristina Sorina; Micea, Mihai Victor; Curiac, Daniel Ioan
In: Journal of Systems and Software
Volume 156
Editor(s): Avgeriou, P.; Shepherd, D.
Publisher: Elsevier
Amsterdam, The Netherlands, Oct. 2019
Pages: 204 - 216, Online, ISSN 0164-1212, DOI: 10.1016/j.jss.2019.06.099
Indexed: ISI Web of Science, Thomson Reuters (WOS: 000483658000013), IF: 2.45
37
 [+] Keywords | [+] Abstract | Journal info | Full paper | UEFISCDI PRECISI Prize
Cyber physical systems; Real-time scheduling; Mixed criticality systems; Multiple processing units
Cyber physical systems (CPSs) are a fast-evolving technology based on a strong synergy between heterogeneous sensing, networking, computation and control modules. When coping with critical applications that require real-time performance and autonomous operation in uncertain conditions, the design of such complex systems is still facing significant difficulties. A particular challenge in this respect derives from the software intensive nature of these systems - the need to develop flexible and specifically tailored task scheduling techniques. In our view, an appropriate line of thinking is to take advantage of mixed criticality concepts following the lessons learned from avionics and automotive domains, where complexity, safety, determinism and real-time constraints are extreme. From this perspective, our work aims at facilitating the integration of mixed criticality systems-based strategy in cyber physical systems by identifying the particularities of the latter and their influence on scheduling mechanisms, by describing the standard mixed-criticality task model in the cyber physical systems context, and by analyzing and proposing the most suitable scheduling algorithms to be implemented in cyber physical systems. Moreover, the perspectives on future developments in this area are discussed, as new horizons in research arise with the integration of mixed criticality concepts in the cyber physical systems context.
10 Citations in total (with a cummulated IF: 20.762)
 
 
Citing papers
[Jrnl 10]F. J. Alvarez Garcia, D. Rodriguez Salgado, "Maintenance Strategies for Industrial Multi-Stage Machines: The Study of a Thermoforming Machine", Sensors, vol. 21 (20), MDPI AG., Basel, Switzerland, Oct. 2021, ISSN 1424-8220, DOI: 10.3390/s21206809. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 9]A. Amarnath, S. Pal, H. T. Kassa, . et al., "Heterogeneity-Aware Scheduling on SoCs for Autonomous Vehicles", IEEE Comput. Archit. Lett., vol. 20 (2), IEEE, USA, Jul. 2021, pp. (82 - 85), ISSN 1556-6056, DOI: 10.1109/LCA.2021.3085505. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 8]J. Chu, T. Zhao, J. Jiao, Z. Chen, "Optimal Design of Configuration Scheme for Integrated Modular Avionics Systems With Functional Redundancy Requirements", IEEE Syst. J, vol. 15 (2), IEEE, USA, Jun. 2021, pp. (2665 - 2676), ISSN 1932-8184, DOI: 10.1109/JSYST.2020.2993636. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 7]S. Fadlelseed, R. Kirner, C. Menon, "z ATMP-CA: Optimising Mixed-Criticality Systems Considering Criticality Arithmetic", Electronics, vol. 10 (11), MDPI AG., Basel, Switzerland, Jun. 2021, ISSN 2079-9292, DOI: 10.3390/electronics10111352. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 6]M. A. B. Al-Tarawneh, "Bi-objective optimization of application placement in fog computing environments", J Ambient Intell. Humaniz. Comput., vol. 13 (1), Springer Heidelberg, Germany, Feb. 2021, pp. (445 - 468), ISSN 1868-5137, DOI: 10.1007/s12652-021-02910-w. [Indexed: ISI Web of Science, Clarivate Analytics].
[Jrnl 5]S. Sabri, N. Ahmad, S. Sahibuddin, R. Dziyauddin, "Dynamic frequency scheduling for CubeSat's on-board and data handling subsystem", Indones. J Electrical Eng. Comput. Sci., vol. 22 (3), Institute of Advanced Engineering and Science, Indonesia, 2021, pp. (1672 - 1678), ISSN 2502-4752, DOI: 10.11591/ijeecs.v22.i3.pp1672-1678. [Indexed: Scopus, Elsevier].
[Jrnl 4]B. Jiang, X. Lyu, Y. Liu, "Realization of cyber-physical systems for smart petrochemical factory based on agents", CIESC J, vol. 72 (3), Materials China, China, 2021, pp. (1575 - 1584), ISSN 0438-1157, DOI: 10.11949/0438-1157.20201734. [Indexed: Scopus, Elsevier].
[Jrnl 3]V. Padmajothi, J. L. M. Iqbal, "Adaptive neural fuzzy inference system-based scheduler for cyber-physical system", Soft Comput., vol. 24 (22), Springer, USA, Nov. 2020, pp. (17309 - 17318), ISSN 1432-7643, DOI: 10.1007 /s00500-020-05020-5. [Indexed: ISI Web of Science, Clarivate Analytics].
[Conf 2]M. Riegler, J. Sametinger, "Mode Switching from a Security Perspective: First Findings of a Systematic Literature Review", in Proc. Commun. Comput. Info. Sci., CCIS, Springer, Online, 14-17 Sep., 2020, pp. (63 - 73), ISBN 978-3-0305-9027-7, ISSN 1865-0929, DOI: 10.1007/978-3-030-59028-4_6. [Indexed: Scopus, Elsevier].
[Jrnl 1]A. Shukalov, I. Zharinov, O. Zharinov, "Industrial cyber-machines remote control method", J Phys. Conf. Ser., vol. 1661 (1), IOP Publishing Ltd., USA, Apr. 2020, ISSN 1742-6588, DOI: 10.1088/1742-6596/1661/1/012109. [Indexed: Scopus, Elsevier].