Spatial and temporal isolation of virtual CAN controllers

Herber, Christian; Richter, Andre; Rauchfuss, Holm; Herkersdorf, Andreas

doi:10.1145/2668138.2668141

Cited by 10 publications

(5 citation statements)

References 13 publications

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“…A MixedCAN protocol was developed that uses a Trusted Network Component to police the traffic that nodes are allowed to send over the network. Herber et al [2013] also addressed the CAN protocol. They replaced the physical network controller with a set of virtual controllers that facilitate spacial separation.…”

Section: Communication and Other Resourcesmentioning

confidence: 99%

A Survey of Research into Mixed Criticality Systems

2017

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This survey covers research into mixed criticality systems that has been published since Vestal's seminal paper in 2007, up until the end of 2016. The survey is organised along the lines of the major research areas within this topic. These include single processor analysis (including fixed priority and EDF scheduling, shared resources and static and synchronous scheduling), multiprocessor analysis, realistic models, and systems issues. The survey also explores the relationship between research into mixed criticality systems and other topics such as hard and soft time constraints, fault tolerant scheduling, hierarchical scheduling, cyber physical systems, probabilistic real-time systems, and industrial safety standards. CCS Concepts: •Computer systems organization → Real-time system specification; •Software and its engineering → Real-time schedulability; Real-time systems software;

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Section: Communication and Other Resourcesmentioning

confidence: 99%

A Survey of Research into Mixed Criticality Systems

2017

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“…Since this approach requires the support from the network devices, it is not suitable to apply this to the fieldbus interface, which is not equipped with sufficient hardware resources to implement multiple virtual network interfaces. Though there was an architectural research on efficient network interface virtualization for CAN [20], it also highly depended on the assistance from a network interface card. To address the manageability and flexibility in the network architecture, the SDN technology that dissociates the control plane from data plane has been suggested [33].…”

Section: Related Workmentioning

confidence: 99%

“…The proposed scheme does not require any modifications of control applications and protocol stacks. There were also studies to virtualize CAN, but these were hardware-level approaches [20] or targeted the hypervisor-based virtualization [21]. We also suggest adjusting the phase offsets of virtual controllers and their tasks to minimize the end-to-end delay.…”

Section: Introductionmentioning

confidence: 99%

Virtualization of Industrial Real-Time Networks for Containerized Controllers

Lee

Kim²,

Seok

et al. 2019

Sensors

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The virtualization technology has a great potential to improve the manageability and scalability of industrial control systems, as it can host and consolidate computing resources very efficiently. There accordingly have been efforts to utilize the virtualization technology for industrial control systems, but the research for virtualization of traditional industrial real-time networks, such as Controller Area Network (CAN), has been done in a very limited scope. Those traditional fieldbuses have distinguished characteristics from well-studied Ethernet-based networks; thus, it is necessary to study how to support their inherent functions transparently and how to guarantee Quality-of-Service (QoS) in virtualized environments. In this paper, we suggest a lightweight CAN virtualization technology for virtual controllers to tackle both functionality and QoS issues. We particularly target the virtual controllers that are containerized with an operating-system(OS)-based virtualization technology. In the functionality aspect, our virtualization technology provides virtual CAN interfaces and virtual CAN buses at the device driver level. In the QoS perspective, we provide a hierarchical real-time scheduler and a simulator, which enable the adjustment of phase offsets of virtual controllers and tasks. The experiment results show that our CAN virtualization has lower overheads than an existing approach up to 20%. Moreover, we show that the worst-case end-to-end delay could be reduced up to 78.7% by adjusting the phase offsets of virtual controllers and tasks.

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“…Because SR-IOV offers the higher predicatability and lower latencies than other device virtualization approaches, we developed a self-virtualized I/O controller [10] for CAN, the most common fieldbus used in automotive settings. This section gives an overview of the proposed architecture, temporal isolation of the virtual CAN controller instances, and security extensions.…”

Section: Hardware Virtualization Of I/o Peripheralsmentioning

confidence: 99%

Hardware virtualization support for shared resources in mixed-criticality multicore systems

Sander¹,

Sandmann²,

Duy³

et al. 2014

Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE), 2014

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Abstract-Electric/Electronic architectures in modern automobiles evolve towards an hierachical approach where functionalities from several ECUs are consolidated into few domain computers. Performance requirements directly lead to multicore solutions but also to a combination of very different requirements on such ECUs. Using virtualization in addition is one promising way of achieving segregation in time and space of shared resources. Based on examples taken from the automotive domain several concepts for efficient hardware extensions of coprocessors and I/O devices are shown in this contribution. These provide mechanisms to ensure quality of service (QoS) levels in terms of execution time, throughput and latency. The resulting infotainment architecture is a feasibility study and is integrated into a vehicle demonstrator as centralized infotainment platform (VCT).

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Spatial and temporal isolation of virtual CAN controllers

Cited by 10 publications

References 13 publications

A Survey of Research into Mixed Criticality Systems

A Survey of Research into Mixed Criticality Systems

Virtualization of Industrial Real-Time Networks for Containerized Controllers

Hardware virtualization support for shared resources in mixed-criticality multicore systems

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