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Green Video Transcoding in Cloud Environments Using Kubernetes A Framework With Dynamic Renewable Energy Allocation and Priority Scheduling by nehaav10d.chs is a document available to read on EtoBox.

The document presents a framework for green video transcoding in cloud environments using Kubernetes, focusing on dynamic renewable energy allocation and priority scheduling to optimize energy efficiency. It integrates machine learning models to predict renewable energy availability and employs two novel scheduling algorithms, DREA and EAPS, to enhance task allocation based on real-time energy conditions. The system aims to reduce reliance on non-renewable energy sources while maintaining performance and sc

Author
nehaav10d.chs
Language
EN