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. Vol. 80
Keywords [en]
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: urn:nbn:se:mdh:diva-47854DOI: 10.4230/OASIcs.Fog-IoT.2020.7Scopus ID: 2-s2.0-85083346508ISBN: 9783959771443 (print)OAI: oai:DiVA.org:mdh-47854DiVA, id: diva2:1427674
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
2020-04-302020-04-302021-08-30Bibliographically approved
In thesis