Abstract
This paper explores the latest optimization techniques for real-time algorithmic design in interactive systems, focusing on the integration of schedulability analysis, low-power design, and robust motion analysis. We review recent advancements in TTEthernet-based systems (Tămaş–Selicean et al., 2014), sustainable schedulability (Zhao et al., 2022), and real-time physics (Senatore & Piker, 2015). The methodology section details a comparative study of these techniques, emphasizing their applicability and performance in interactive environments. Results highlight the effectiveness of these methods in enhancing system responsiveness and energy efficiency. The discussion delves into the challenges and future directions, including the potential of regression-based period inference (Vădineanu & Nasri, 2022) and algorithmic control (Kobayashi et al., 2005). The paper concludes with recommendations for practical implementation and areas for further research.