US Patent Application 17726853. INTELLIGENT LOAD SCHEDULING IN A STORAGE SYSTEM simplified abstract
Contents
INTELLIGENT LOAD SCHEDULING IN A STORAGE SYSTEM
Organization Name
Inventor(s)
Irit Brener-shalem of Ramat Gan (IL)
Yonatan Yeshanov of Tel Aviv (IL)
INTELLIGENT LOAD SCHEDULING IN A STORAGE SYSTEM - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 17726853 Titled 'INTELLIGENT LOAD SCHEDULING IN A STORAGE SYSTEM'
Simplified Explanation
This abstract describes techniques for implementing intelligent load scheduling in a storage system. The method involves collecting various metrics related to workloads and using a machine learning model to predict the load on one or more servers. The machine learning model takes into account the weights assigned to each metric during its training process. Based on the load predicted by the model, the scheduling of additional processes on the servers is determined.
Original Abstract Submitted
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.
