Live migration modeling

VM live migration is the foundation of seamless cloud service management, but predicting its key performance metrics is notoriously difficult due to its complex behavior. This project proposed a machine learning approach to live migration modeling. Trained on 40,000 VM live migration records, the model showed 2 to 5 times better prediction accuracy than the state-of-the-art analytical model.

Published at SoCC’17. Project page