• Kambam Sindhuja Priya
• Priyanka Gupta

In real-time embedded systems' realm, isolation and reliability are the key issues to be overcome, which this research tackles. We present a unique framework which is intended to boost the levels of secure isolation of the critical systems in a mixedcriticality environment. The strategy we use involves immediate guarantees, resource management, and fault tolerance. In order to assess the current situation, we completed an industry interview and found out the ineffectiveness of the current practices. Armed with this knowledge, we present a solution: i a Real-Time One-Class Support Vector Machine (SVM) capable of differentiating anomalies regardless of their type while observing a due time limit. The performance metrics demonstrate that it is reliable in finding and fixing faults. We extend our research by studying the clustering of resource usage for predictive fault prevention, redundancy design, and scheduling of tasks. Our classifier of machine learning system state, with a flawless confusion matrix, helps in making pre-emptive sustainability decisions. This research settles down a comprehensive structure that shows the tendencies of the industry and helps in designing mission-critical real-time embedded systems suitable for industrial edge applications

Mixed-criticality systems, Real-time guarantees, Fault tolerance, Isolation framework, embedded systems, Real-time Responsiveness, Reliability, and Performance.

"Enhancing Isolation and Reliability in Mixed-Criticality Embedded Systems: A Framework with Real-Time Guarantees and Fault Tolerance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.o72-o77, April-2024, Available :http://www.jetir.org/papers/JETIR2404F12.pdf

"Enhancing Isolation and Reliability in Mixed-Criticality Embedded Systems: A Framework with Real-Time Guarantees and Fault Tolerance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppo72-o77, April-2024, Available at : http://www.jetir.org/papers/JETIR2404F12.pdf