Microsoft Technology Licensing, LLC

Yu Yao

Sushant Pramod Rewaskar

Gaurav Jagtiani

Abhay Sudhir Ketkar

Binit Ranjan Mishra

Emma Sutherland Boyd

Shekhar Agrawal

Derek James Boyer

Tri Minh Tran

Aravind Narayanan Krishnamoorthy

Bruno Korbar

Amruta Bhalchandra Pathak

The present disclosure relates to utilizing a host failure recovery system to efficiently and accurately determine the health of host devices. For example, the host failure recovery system detects when a host server is failing by utilizing a power failure detection model that determines whether a host server is operating in a healthy power state or an unhealthy power state. In particular, the host failure recovery system utilizes a multi-layer power failure detection model that determines power-draw failure events on a host device. The failure detection model determines, with high confidence, the health of a host device based on power-draw signals and/or usage characteristics of the host device. Additionally, the host failure recovery system can initiate a quick recovery of a failing host device.

Utilizing power-draw device signals to improve the recovery of virtual machine host devices

For each selected category of virtual machine, a cardinality of virtual machines of the category that are requested is recorded over time. For each category of virtual machine, a prediction algorithm is used to predict a cardinality of virtual machines for the selected category to be requested in the future, such that the prediction algorithm weighs under-prediction of the cardinality of virtual machines as costlier than over-prediction. For each category of virtual machine, a cardinality of virtual machines of the category of virtual machines are composed and booted with generic virtual machine artifacts such that the cardinality of virtual machines of the selected categories is the predicted cardinality of requested virtual machines for the selected category. The booted virtual machines are caused to enter a state in which the booted virtual machines are polling for a configuration with user-specific compute settings and user-specific networking settings.

Prediction of virtual machine demand

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Redmond, WA, United States of America

Yu Yao