X4-Match: Sustainable Prediction-based Video Encoding Scheduling Framework
X4-Match: Sustainable Prediction-based Video Encoding Scheduling Framework
This framework provides a sustainable, energy-efficient scheduling method that integrates ML–based prediction with game-theoretic heuristics to optimize video encoding workloads across cloud and edge instances. BibTex:@inproceedings{afzal2026x4, title={X4-MATCH: Sustainable Prediction-based Distribution of Video Encoding on Cloud and Edge}, author={Afzal, Samira and Mehran, Narges and Freeman, Andrew C. and Hoi, Manuel and Lachini, Armin and Timmerer, Christian and Prodan, Radu}, booktitle={40th IEEE International Parallel \& Distributed Processing Symposium, May 2026}, year={2026}}
Cloud and Edge Computing, Extra-Tree regressor, Sustainability, Video encoding, Scheduling, Energy Efficiency, Prediction
Cloud and Edge Computing, Extra-Tree regressor, Sustainability, Video encoding, Scheduling, Energy Efficiency, Prediction
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