Yutaka Matsubara

Associate Professor ยท 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

Interference on shared resources can delay important tasks. In serious cases, this can break timing guarantees, spread faults across applications, or open a path for security attacks.

This means that performance is not only a speed problem. It is also a safety and trust problem, especially in systems that control vehicles and other important equipment.

Detail

What we do

We measure and analyze how real-time applications access shared resources and evaluate which factors reduce predictable behavior. This includes CPUs, memory systems, GPUs, storage, and communication paths.

We also study ways to improve real-time behavior from a full-stack perspective. Topics include software isolation mechanisms, operating system and driver improvements, and hardware support for better timing control.

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