CHIPS-AHOy

Abstract

Virtual machines (VMs) are being deployed on embedded systems to integrate multiple applications with different run-time requirements on the same physical platform. In scenarios such as autonomous vehicles, these virtualized platforms must handle varying application requirements -from strict temporal predictability to high performance -while simultaneously satisfying disparate constraints such as energy efficiency, thermal bounds, and system lifetime. To address these challenges we present CHIPS-AHOy, a prediCtable HolIstic cyber-PhySicAl HypervisOr that integrates VM isolation mechanisms with novel resource allocation approaches within a holistic observe-decide-adapt loop to achieve run-time predictability and simultaneously manage energy, thermal and wearout constraints. We present experimental results on several realistic MPSoC platforms that demonstrate the ability of CHIPS-AHOy to achieve predictable operation while conserving energy, managing temperature and extending system lifetime.