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Memory-Aware Scheduling of Mixed-Criticality Systems on Multicore Platforms
Ref: CISTER-TR-191201       Publication Date: 13, Dec, 2019

Memory-Aware Scheduling of Mixed-Criticality Systems on Multicore Platforms

Ref: CISTER-TR-191201       Publication Date: 13, Dec, 2019

Abstract:
The role of mixed-criticality systems is increasing in the design of safety critical systems, especially in avionics and automotive domains. Conventionally, these systems are designed as combination of subsystems with different degree of importance and criticality. Modern common-of-theshelf multicore platforms (COTS) offer significant advantages in terms of raw computing, energy consumption and size (SWaP) allowing the integration these subsystems on a same platform. The benefits of developing mixed-criticality systems on multicore processors are accompanied with multitude of new issues. Most noticeably, the interference caused by the shared resources may lead to unpredictable temporal behavior, jeopardizing the timing guarantees provided in isolation. To address these challenges, new mixed-criticality models, memory interference protocols and corresponding scheduling analysis techniques are needed to not only ensure the safety of the system, but also to efficiently utilize the available resources of the modern COTS platforms. This thesis research plan will explore a set of new solutions including: novel system models to efficiently utilize the processing capacity of the platform, interference mitigation on shared channels, exploration of news features of multicore platforms, such as multiple memory controllers, isolation concerns usually imposed by the certification authorities and deep learning mechanisms to address allocation problems.

Authors:
Ishfaq Hussain


Notes: Comissão de acompanhamento: Comissão Científica PDEEC: José Silva Matos Orientador: Muhammad Ali Awan Coorientador: Konstantinos Bletsas Elemento da FEUP: Pedro Ferreira Souto Elemento externo: Dr. Rodolfo Pellizzoni (University of Waterloo, Canada)



Record Date: 12, Dec, 2019