Keywords
Real-time systems, Machine Learning, real-time scheduling
Abstract
Using neural networks to find optimal solutions to real-time scheduling is a common technique, and there have been many different models put forth to accomplish this goal. This paper is an academic literature review of six different designs put forth that use neural networks for real-time scheduling. A comparison is done for these models which weighs the feasibility and time complexity for each one as well as identifying common themes and trends in this topic.
Date Created
12-2020
College
College of Engineering and Computer Science
Type
article
STARS Citation
Loree, Adam and Wilhite, Christy, "Machine Learning and Neural Networks for Real-Time Scheduling" (2020). Recent Advances in Real-Time Systems. 7.
https://stars.library.ucf.edu/realtimesystems-reports/7