OS-level virtualization for industrial automation systems

Moga, Alexandru; Sivanthi, Thanikesavan; Franke, Carsten

doi:10.1145/2851613.2851737

Cited by 37 publications

(31 citation statements)

References 15 publications

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“…We use cyclictest [23] version 1.0 to measure the latencies of cyclic firing behavior of a realtime application, and stress [24] to simulate load in the system. The former is part of the rt-tests suite, and a frequently used tool for this purpose [4], [5], permitting us to compare results, performance and test configurations. The latter runs random computations to simulate resource load and targets a system load average of 100%.…”

Section: Experiments Setup and Resultsmentioning

confidence: 99%

“…Containerizing control applications has been discussed in recent literature. Moga et al [4], for instance, presented the concept of containerization of full control applications as a means to decouple the hardware and software life-cycles of an industrial automation system. Due to the performance overhead in hardware virtualization, the authors state that OS-level virtualization is a suitable technique to cope with automation system timing demands.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Industrial Control via Application Containers: Migrating from Bare-Metal to IAAS

Hofer

Sehr

Iannopollo

et al. 2019

2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

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Section: Experiments Setup and Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Industrial Control via Application Containers: Migrating from Bare-Metal to IAAS

Hofer

Sehr

Iannopollo

et al. 2019

2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

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“…Moga et al [22] considers real-time containers in the context of industrial automation systems that works with real-time data and have real-time deadlines on detection and response to events. The paper emphasises the need for OS-level virtualization in an industrial automation and gives examples of timing requirements of industrial applications (e.g.…”

Section: Methods Based On Preempt_rt Patchmentioning

confidence: 99%

Efficient Hosting of Robust IoT Applications on Edge Computing Platform

Avasalcai

Zarrin²,

Pop³

et al. 2020

2020 IEEE 4th International Conference on Fog and Edge Computing (ICFEC)

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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.

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“…As summarized in [26], real-time behavior of container-based virtualization must be supported by a predictable host operating system and real-time scheduling policies that are containeraware. The former is addressed by the application of a realtime patch that makes the Linux Kernel fully preemptive [27] or by the use of a real-time co-kernel that runs side-byside with a standard Kernel. Real-time aware scheduling policy for containers is addressed by utilization of hierarchical scheduling that provides temporal isolation of containers [28].…”

Section: A Virtualizationmentioning

confidence: 99%

Enabling Fog-based Industrial Robotics Systems

Shaik

Struhár

Bakhshi

et al. 2020

2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

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Low latency and on demand resource availability enable fog computing to host industrial applications in a cloud like manner. One industrial domain which stands to benefit from the advantages of fog computing is robotics. However, the challenges in developing and implementing a fog-based robotic system are manifold. To illustrate this, in this paper we discuss a system involving robots and robot cells at a factory level, and then highlight the main building blocks necessary for achieving such functionality in a fog-based system. Further, we elaborate on the challenges in implementing such an architecture, with emphasis on resource virtualization, memory interference management, real-time communication and the system scalability, dependability and safety. We then discuss the challenges from a system perspective where all these aspects are interrelated.

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OS-level virtualization for industrial automation systems

Cited by 37 publications

References 15 publications

Industrial Control via Application Containers: Migrating from Bare-Metal to IAAS

Industrial Control via Application Containers: Migrating from Bare-Metal to IAAS

Efficient Hosting of Robust IoT Applications on Edge Computing Platform

Enabling Fog-based Industrial Robotics Systems

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