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Dynamic resource distribution using periodicity-aware predictive modeling

  • US 10,484,301 B1
  • Filed: 09/30/2016
  • Issued: 11/19/2019
  • Est. Priority Date: 09/30/2016
  • Status: Active Grant
First Claim
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1. A method, comprising:

  • maintaining, at a storage pool, measurements corresponding to prior usage of a distributed storage resource of a cluster by a plurality of nodes in the cluster, the storage pool comprising an aggregation of one or more storage devices directly attached to respective nodes in the cluster;

    receiving, at a first node of the plurality of nodes in the cluster, the measurements from the storage pool;

    determining, at the first node, a time period for a training window corresponding to a portion of the measurements, wherein the training window bounds a periodically recurring portion of the measurements;

    training, at the first node, a predictive model based at least in part on the periodically recurring portion of the measurements to produce a trained predictive model;

    determining a resource allocation operation based at least in part on a prediction from the trained predictive model.

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