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Performance-aware Decision-making Mechanism for Offloading Soft Real-time Tasks

Authors:

Madiha Umar, Saad Mubeen, Ali Balador, Andrew Williams , Mohammad Ashjaei

Research groups:

Real-Time Systems Design
Complex Real-Time Embedded Systems

Publication Type:

Conference/Workshop Paper

Venue:

33rd International Conference on Real-Time Networks and Systems

Abstract

Industrial real-time embedded systems run complex software applications with strict timing constraints to ensure efficient operation. Increasing computational demands often strain device resources, leading to missed deadlines and disrupted task execution. This paper proposes a novel decision-making mechanism for offloading soft real-time tasks to edge or cloud servers. The mechanism contains two major components: (i) a monitoring agent to observe and collect task-level performance parameters during run-time, and (ii) a decision-making component to decide, based on the collected parameters, which tasks should be offloaded to improve the overall system performance. We implement the proposed mechanism in the FreeRTOS real-time operating system to provide evidence of its feasibility. We also perform a set of experiments to show performance of the proposed mechanism. The results demonstrate that the proposed mechanism ensures predictable execution of the system with minimal overhead, offering a scalable solution for resource-constrained soft real-time systems.

Bibtex

@inproceedings{Umar7307,
author = {Madiha Umar and Saad Mubeen and Ali Balador and Andrew Williams and Mohammad Ashjaei},
title = {Performance-aware Decision-making Mechanism for Offloading Soft Real-time Tasks},
month = {November},
year = {2025},
booktitle = {33rd International Conference on Real-Time Networks and Systems},
url = {http://www.es.mdu.se/publications/7307-}
}