公开(公告)号：US10778522B2

公开(公告)日：2020-09-15

申请号：US15841099

申请日：2017-12-13

Applicant: salesforce.com, inc.

Inventor： Gabriel Tavridis ,  Kartikeya Chandrayana ,  Maria Garcia Cerdeno ,  Russell Larsen ,  Satish Raghunath ,  Shauli Gal ,  Wojciech Koszek

IPC: G06F15/177 ,  H04L12/24 ,  H04L12/26 ,  G06N20/00

Abstract: A dynamic approach to optimizing configuration of network parameters is presented. By gathering operational contexts and aggregating optimized network performance data against a baseline, a training data set may be generated. Client-side policies are determined, in part, by applying machine learning techniques on the training data set to achieve desired outcomes. Data delivery strategies are compiled at user devices to deliver content using the optimized network configuration values based on the operating contexts.