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This document surveys adaptive real-time scheduling algorithms for embedded systems, highlighting the limitations of conventional static models in dynamic environments. It discusses various approaches such as feedback-based control, symbiotic scheduling, predictive methods, and hybrid techniques that integrate power management strategies like Dynamic Voltage and Frequency Scaling (DVFS). The paper emphasizes the importance of adaptability and predictability in scheduling to meet the stringent requirements o

Author

Tanya Jain

Language

EN