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Real-Time Containers: A Survey

Authors Václav Struhár , Moris Behnam, Mohammad Ashjaei , Alessandro V. Papadopoulos

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Subject Classification

ACM Subject Classification
  • Computer systems organization → Real-time systems
  • Software and its engineering → Virtual machines
Keywords
  • Real-Time
  • Containers
  • Docker
  • LXC
  • PREEMPT_RT
  • Xenomai
  • RTAI

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Abstract

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.

Cite As Get BibTex

Václav Struhár, Moris Behnam, Mohammad Ashjaei, and Alessandro V. Papadopoulos. Real-Time Containers: A Survey. In 2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020). Open Access Series in Informatics (OASIcs), Volume 80, pp. 7:1-7:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020) https://doi.org/10.4230/OASIcs.Fog-IoT.2020.7

Author Details

Václav Struhár
  • Mälardalen University, Västerås, Sweden
Moris Behnam
  • Mälardalen University, Västerås, Sweden
Mohammad Ashjaei
  • Mälardalen University, Västerås, Sweden
Alessandro V. Papadopoulos
  • Mälardalen University, Västerås, Sweden

Funding

The research leading to these results has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 764785, FORA - Fog Computing for Robotics and Industrial Automation.

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