YASMIN: a Real-time Middleware for COTS Heterogeneous Platforms

TL;DR

YASMIN is a middleware that simplifies real-time application scheduling on heterogeneous COTS platforms, enhancing performance and resource utilization through flexible task management and easy-to-use interfaces.

Contribution

It introduces a middleware solution that enables real-time scheduling in user space for heterogeneous platforms, supporting multiple task implementations and flexible scheduling policies.

Findings

YASMIN achieves low scheduling overhead on Odroid-XU4.

It improves system performance in a Search & Rescue drone use-case.

Supports multiple functionally equivalent task implementations.

Abstract

Commercial-Off-The-Shelf heterogeneous platforms provide immense computational power, but are difficult to program and to correctly use when real-time requirements come into play: A sound configuration of the operating system scheduler is needed, and a suitable mapping of tasks to computing units must be determined. Flawed designs may lead a sub-optimal system configurations and thus to wasted resources, or even to deadline misses and failures. We propose YASMIN, a middleware to schedule end-user applications with real-time requirements in user space and on behalf of the operating system. YASMIN provides an easy-to-use programming interface and portability. It treats heterogeneity on COTS heterogeneous embedded platforms as a first-class citizen: It supports multiple functionally equivalent task implementations with distinct extra-functional behaviour. This enables the system designer to quickly explore different scheduling policies and task-to-core mappings, and thus, to improve overall system performance. In this paper, we present the design and implementation of YASMIN and provide an analysis of the scheduling overhead on an Odroid-XU4 platform. Last but not least, we demonstrate the merits of YASMIN on an industrial use-case involving a Search & Rescue drone.