Self-virtualized CAN Controller for Multi-core Processors in Real-Time Applications

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

doi:10.1007/978-3-642-36424-2_21

Cited by 6 publications

(7 citation statements)

References 6 publications

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“…In contrast to [5], no information is needed about lower priority messages outside of the virtual controller v at stake (isolated temporal behavior). Higher priority messages from other (virtual) CAN nodes influence the worst-case response time of message m, because they win arbitration on the CAN bus, but not because of effects introduced due to virtualization.…”

Section: Figure 5: Added Latencies Experienced By Message M In Virtuamentioning

confidence: 96%

“…5. The results can serve as input to a complete real-time analysis as shown in [5]. When (1) is replaced with (5), the existing analysis is still applicable.…”

Section: Figure 5: Added Latencies Experienced By Message M In Virtuamentioning

confidence: 99%

“…This analysis was extended in [5] to be applied to nonideal, virtualized CAN controllers. The worst-case scenario was modified, because here, low priority messages can also contribute to an additional blocking of high priority messages.…”

Section: Added Latencies For Weighted Time-based Round-robinmentioning

confidence: 99%

“…However, the paper does not present CPU overheads and measures message latencies only on an idle system. In [5], a hardware-based solution is presented that offloads virtualization tasks like a message based arbitration between virtual CAN controllers and VM based acceptance filtering for received frames into an existing CAN controller. It was shown that the additional latency suffered from sharing modules in the virtualized controller is within the order of 10 μs.…”

Section: Related Workmentioning

confidence: 99%

“…In this Section, we present an overview of the self-virtualized CAN controller, which is based on [5]. In the subsequent Sections 4 and 5, architectural aspects are introduced regarding the contributions for spatial and temporal isolation among virtual instances of the controller.…”

Section: Concept For a Self-virtualized Can Controllermentioning

confidence: 99%

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Spatial and temporal isolation of virtual CAN controllers

et al. 2014

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Virtualization is a key technology to enable the use of multicore processors in automotive embedded systems. For sideby-side execution of mixed-criticality applications that access shared communication infrastructures, a secure and safe virtualization of I/O devices is required, which features a complete spatial and temporal isolation of individual virtual interfaces. We extended existing approaches of hardwarebased CAN virtualization to achieve a full isolation while maintaining the bounded latencies achieved in previous implementations. It is shown, that even a denial-of-service attack towards one virtual controller does not influence the behavior of other virtual controllers. In addition, the scheduling mechanism implemented to guarantee temporal isolation can be configured to provide differentiated service levels for real-time and best effort application domains.

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Section: Figure 5: Added Latencies Experienced By Message M In Virtuamentioning

confidence: 96%

“…5. The results can serve as input to a complete real-time analysis as shown in [5]. When (1) is replaced with (5), the existing analysis is still applicable.…”

Section: Figure 5: Added Latencies Experienced By Message M In Virtuamentioning

confidence: 99%

Section: Added Latencies For Weighted Time-based Round-robinmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Concept For a Self-virtualized Can Controllermentioning

confidence: 99%

See 3 more Smart Citations