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Struhar, Vaclav
Publications (4 of 4) Show all publications
Struhar, V., Behnam, M., Ashjaei, S. M. & Papadopoulos, A. (2020). Real-time containers: A survey. In: OpenAccess Series in Informatics: . Paper presented at 2nd Workshop on Fog Computing and the IoT, Fog-IoT 2020, 21 April 2020. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 80
Open this publication in new window or tab >>Real-time containers: A survey
2020 (English)In: OpenAccess Series in Informatics, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing , 2020, Vol. 80Conference paper (Refereed)
Abstract [en]

Container-based virtualization has gained a significant importance in a deployment of software applications in cloud-based environments. The technology fully relies on operating system features and does not require a virtualization layer (hypervisor) that introduces a performance degradation. Container-based virtualization allows to co-locate multiple isolated containers on a single computation node as well as to decompose an application into multiple containers distributed among several hosts (e.g., in fog computing layer). Such a technology seems very promising in other domains as well, e.g., in industrial automation, automotive, and aviation industry where mixed criticality containerized applications from various vendors can be co-located on shared resources. However, such industrial domains often require real-time behavior (i.e, a capability to meet predefined deadlines). These capabilities are not fully supported by the container-based virtualization yet. In this work, we provide a systematic literature survey study that summarizes the effort of the research community on bringing real-time properties in container-based virtualization. We categorize existing work into main research areas and identify possible immature points of the technology. © Václav Struhár, Moris Behnam, Mohammad Ashjaei, and Alessandro V. Papadopoulos; licensed under Creative Commons License CC-BY 2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020).

Place, publisher, year, edition, pages
Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2020
Keywords
Containers, Docker, LXC, PREEMPT_RT, Real-Time, RTAI, Xenomai, Application programs, Fog, Internet of things, Surveys, Virtualization, Industrial automation, Mixed criticalities, Performance degradation, Real-time properties, Research communities, Single computation, Software applications, Virtualization layers, Fog computing
National Category
Computer Engineering
Identifiers
urn:nbn:se:mdh:diva-47854 (URN)10.4230/OASIcs.Fog-IoT.2020.7 (DOI)2-s2.0-85083346508 (Scopus ID)9783959771443 (ISBN)
Conference
2nd Workshop on Fog Computing and the IoT, Fog-IoT 2020, 21 April 2020
Note

Conference code: 158924; Export Date: 30 April 2020; Conference Paper

Available from: 2020-04-30 Created: 2020-04-30 Last updated: 2020-04-30Bibliographically approved
Struhar, V., Ashjaei, S. M., Behnam, M., Craciunas, S. & Papadopoulos, A. (2019). DART: Dynamic Bandwidth Distribution Framework for Virtualized Software Defined Networks. In: IEEE 45th Annual Conference of the Industrial Electronics Society IECON'19: . Paper presented at IEEE 45th Annual Conference of the Industrial Electronics Society IECON'19, 14 Oct 2019, Lisbon, Portugal.
Open this publication in new window or tab >>DART: Dynamic Bandwidth Distribution Framework for Virtualized Software Defined Networks
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2019 (English)In: IEEE 45th Annual Conference of the Industrial Electronics Society IECON'19, 2019Conference paper, Published paper (Refereed)
National Category
Engineering and Technology Computer Systems
Identifiers
urn:nbn:se:mdh:diva-45054 (URN)
Conference
IEEE 45th Annual Conference of the Industrial Electronics Society IECON'19, 14 Oct 2019, Lisbon, Portugal
Projects
Future factories in the CloudFORA - Fog Computing for Robotics and Industrial Automation
Available from: 2019-08-22 Created: 2019-08-22 Last updated: 2019-08-22Bibliographically approved
Salman, C. A., Struhar, V., Papadopoulos, A., Behnam, M. & Nolte, T. (2019). Fogification of industrial robotic systems: Research challenges. In: IoT-Fog 2019 - Proceedings of the 2019 Workshop on Fog Computing and the IoT: . Paper presented at 2019 Workshop on Fog Computing and the IoT, IoT-Fog 2019, 15 April 2019 (pp. 41-45). Association for Computing Machinery, Inc
Open this publication in new window or tab >>Fogification of industrial robotic systems: Research challenges
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2019 (English)In: IoT-Fog 2019 - Proceedings of the 2019 Workshop on Fog Computing and the IoT, Association for Computing Machinery, Inc , 2019, p. 41-45Conference paper, Published paper (Refereed)
Abstract [en]

To meet the demands of future automation systems, the architecture of traditional control systems such as the industrial robotic systems needs to evolve and new architectural paradigms need to be investigated. While cloud-based platforms provide services such as computational resources on demand, they do not address the requirements of real-time performance expected by control applications. Fog computing is a promising new architectural paradigm that complements the cloud-based platform by addressing its limitations. In this paper, we analyse the existing robot system architecture and propose a fog-based solution for industrial robotic systems that addresses the needs of future automation systems. We also propose the use of Time-Sensitive Networking (TSN) services for real-time communication and OPC-UA for information modelling within this architecture. Additionally, we discuss the main research challenges associated with the proposed architecture.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc, 2019
Keywords
Automation, Computer architecture, Fog, Industrial research, Internet of things, Robotics, Cloud based platforms, Computational resources, Control applications, Industrial robotic systems, Information modelling, Proposed architectures, Real time performance, Real-time communication, Fog computing
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:mdh:diva-43888 (URN)10.1145/3313150.3313225 (DOI)000473542200009 ()2-s2.0-85066045184 (Scopus ID)9781450366984 (ISBN)
Conference
2019 Workshop on Fog Computing and the IoT, IoT-Fog 2019, 15 April 2019
Available from: 2019-06-11 Created: 2019-06-11 Last updated: 2019-10-11Bibliographically approved
Struhar, V., Papadopoulos, A. & Behnam, M. (2018). Work-in-Progress: Fog Computing for Adaptive Human-Robot Collaboration. In: International Conference on Embedded Software 2018 EMSOFT2018: . Paper presented at International Conference on Embedded Software 2018 EMSOFT2018, 30 Sep 2018, Turin, Italy. , Article ID 8537213.
Open this publication in new window or tab >>Work-in-Progress: Fog Computing for Adaptive Human-Robot Collaboration
2018 (English)In: International Conference on Embedded Software 2018 EMSOFT2018, 2018, article id 8537213Conference paper, Published paper (Refereed)
Abstract [en]

Fog computing is an emerging technology that enables the design of novel time sensitive industrial applications. This new computing paradigm also opens several new research challenges in different scientific domains, ranging from computer architectures to networks, from robotics to real-time systems. In this paper, we present a use case in the human-robot collaboration domain, and we identify some of the most relevant research challenges.

National Category
Engineering and Technology Computer Systems
Identifiers
urn:nbn:se:mdh:diva-41712 (URN)10.1109/EMSOFT.2018.8537213 (DOI)000492828500009 ()2-s2.0-85059383615 (Scopus ID)978-1-5386-5564-1 (ISBN)
Conference
International Conference on Embedded Software 2018 EMSOFT2018, 30 Sep 2018, Turin, Italy
Projects
FORA - Fog Computing for Robotics and Industrial Automation
Available from: 2018-12-20 Created: 2018-12-20 Last updated: 2020-01-10Bibliographically approved
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