Adaptive multi-phase network policy optimization
Assigneesalesforce.com, inc.
InventorsShauli Gal, Satish Raghunath, Kartikeya Chandrayana, Tejaswini Ganapathi
Life of this patent
Estimating the term…
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Assigneesalesforce.com, inc.
InventorsShauli Gal, Satish Raghunath, Kartikeya Chandrayana, Tejaswini Ganapathi
Estimating the term…
An adaptive multi-phase approach to estimating network parameters is presented. By gathering and aggregating raw network traffic data and comparing against default network parameters, a training data set may be generated. A black box optimization may be used in tandem with a supervised learning algorithm to bias towards better choices and eventually pick network parameters which optimize performance. Data delivery strategies are applied to deliver content using the optimized network policies based on the estimated parameters.
A method, comprising:
One or more non-transitory computer-readable storage media, storing one or more sequences of instructions, which when executed by one or more processors cause performance of:
An apparatus, comprising:
Dependencies are inferred from the claim text.