Performance analysis of KVM hypervisor using a self-driving developer kit

T Müller, H Askaripoor, A Knoll - IECON 2022–48th Annual …, 2022 - ieeexplore.ieee.org
T Müller, H Askaripoor, A Knoll
IECON 2022–48th Annual Conference of the IEEE Industrial …, 2022ieeexplore.ieee.org
Virtualization plays an increasingly important role in safety-critical embedded systems like
modern vehicles due to its numerous advantages like cost reduction, better scalability, or
easier safety verification. These advantages come at the cost of additional performance
overhead. While performance evaluation of virtualization solutions for server applications
has been the subject of research for a long time, it is still not adequately investigated for
embedded use cases. We present the first work to analyze the performance of KVM, an open …
Virtualization plays an increasingly important role in safety-critical embedded systems like modern vehicles due to its numerous advantages like cost reduction, better scalability, or easier safety verification. These advantages come at the cost of additional performance overhead. While performance evaluation of virtualization solutions for server applications has been the subject of research for a long time, it is still not adequately investigated for embedded use cases. We present the first work to analyze the performance of KVM, an open-source hypervisor, on an Nvidia Drive AGX, a developer kit for self-driving vehicles. Experimental measurements show that the computational overhead restricts the number of partitions. Also, poor memory and file I/O performance suggest that KVM is not usable for practical applications with the Nvidia Drive AGX.
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