Low-power smart industrial control

Bilgic, Attila; Pichot, Vincent; Gerding, Michael; Bruns, Felix

doi:10.1109/date.2011.5763097

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…This is the case for industrial measurement and control devices that have to operate in hazardous atmospheres [6], as well as for ambulant medical devices or wireless sensors. Due to the strong power constraints found in these industries, computations are performed by small micro-control units (MCUs).…”

Section: Introductionmentioning

confidence: 99%

Virtualization for safety-critical, deeply-embedded devices

Bruns

Kuschnerus

Bilgic³

2013

Proceedings of the 28th Annual ACM Symposium on Applied Computing

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Even today, safety-critical systems in many fields of application use separate processors to isolate software of different criticality from another. The resulting system architecture is non-optimal in regard to flexibility, device size and power consumption. These drawbacks can be prevented by the use of partitioning operating systems that enable the integration of applications with different criticality on a single processor. However, their application for deeply-embedded devices, that are characterized by strict resource constraints and the lack of advanced processor features such as memorymanagement units (MMU), is challenging. In this work, we show that the impact of virtualization on performance and predictability is smaller in the field of deeply-embedded devices than in more complex systems, making it a compelling choice as a partitioning technology. We present a hypervisor that provides time and space partitioning for an MMU-less system, as well as mechanisms for communication and resource sharing. To satisfy the strict power and resource constraints found in deeply-embedded devices, we focus on solutions with a minimal runtime overhead. Furthermore, the hypervisor is integrated with the processor power management, often enabling significant power savings in the resulting system architecture.

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Section: Introductionmentioning

confidence: 99%