Dell Products Inc.

Yonatan Yeshanov

Michal Yarimi

Irit Brener-Shalem

Techniques are provided for implementing intelligent load scheduling in a storage system. In an illustrative embodiment, a method comprises collecting a plurality of metrics corresponding to one or more workloads, and processing the plurality of metrics using a machine learning model to predict a load on at least one server. The machine learning model predicts the load on the at least one server based, at least in part, on weights for respective ones of the plurality of metrics generated during training of the machine learning model. In the method, execution by the at least one server of one or more processes in addition to the one or more workloads is scheduled based, at least in part, on the load predicted by the machine learning model.

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Tel Aviv, Israel

Yonatan Yeshanov