Yutaka Matsubara

Associate Professor · Graduate School of Informatics, Nagoya University

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Research project

Real-time performance assurance in high-performance embedded systems

We study how to keep mixed-criticality systems fast, predictable, and safe even when many applications share CPUs, memory, storage, and networks.

TOPPERS/ASP Kernel for M32RSimulation environment for TOPPERS kernelsTOPPERS OS environment for LEGO Mindstorms EV3 / ET Robocon (EV3RT)TOPPERS/ASP + MBED on GR-PEACHSoftware platform for LEGO SPIKE (SPIKE-RT)Automatic performance evaluation tool for low-level container runtimesschesim: an open-source flexible scheduling simulator for embedded real-time applicationsCAN simulation model for OMNeT++AUTOSAR Adaptive Platform consortium-style joint research
Real-time performance assurance in high-performance embedded systems

Detail

Background

In recent years, automotive and aerospace systems have started to use high-performance System-on-Chip platforms and operating systems. These environments often run multiple applications with different levels of criticality at the same time. Such systems are called mixed-criticality systems.

When multiple applications are integrated on one platform, real-time performance and safety become difficult to guarantee. Applications may interfere with one another through shared CPUs, memory, GPUs, storage devices, and network bandwidth.

Detail

Why it is difficult

Contention on shared resources can delay important tasks. In severe cases, deadlines are missed, faults propagate across applications, or new attack paths are opened.

In systems that control vehicles or other critical equipment, this is no longer a pure performance question — it becomes a safety and trust issue.

Detail

What we do

We measure and analyze how real-time applications use shared resources, and identify what breaks predictability. The scope covers CPUs, memory systems, GPUs, storage, and communication paths.

We also work across the stack to improve real-time behavior: software-level isolation, changes to operating systems and drivers, and hardware support for tighter timing control.

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Papers and articles related to this project

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