公开(公告)号：US20190173760A1

公开(公告)日：2019-06-06

申请号：US16273150

申请日：2019-02-12

Applicant: salesforce.com, inc.

Inventor： Shauli Gal ,  Satish Raghunath ,  Kartikeya Chandrayana ,  Tejaswini Ganapathi

IPC: H04L12/24 ,  H04L29/08 ,  H04L29/06 ,  H04L12/26

CPC classification number: H04L41/0893 ,  H04L41/046 ,  H04L43/16 ,  H04L67/02 ,  H04L67/28 ,  H04L67/2833 ,  H04L69/16

Abstract: 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.

公开(公告)号：US20190141542A1

公开(公告)日：2019-05-09

申请号：US15803557

申请日：2017-11-03

Applicant: salesforce.com, inc.

Inventor： Tejaswini Ganapathi ,  Satish Raghunath ,  Shauli Gal

IPC: H04W24/02 ,  G06F15/18 ,  H04L12/24 ,  H04L29/06 ,  H04W24/08

CPC classification number: H04W24/02 ,  G06N20/00 ,  H04L41/0823 ,  H04L41/0893 ,  H04L41/14 ,  H04L69/16 ,  H04W24/08

Abstract: A polytope is generated, based on expert input, in an output parameter space. The polytope constrains network parameters to value ranges that are a subset of possible values represented in the output parameter space. Network traffic data associated with data requests to computer applications based on static policies is collected over a time block. Each static policy in the plurality of static policies comprises parameter values, for network parameters in the set of network parameters, that are constrained to be within the polytope. Machine learning is used to estimate best parameter values for the network parameters that are constrained to be within the polytope. The best parameter values are verified by comparing to parameter values determined from a black box optimization. The best parameter values are propagated to be used by user devices to make new data requests to the computer applications.

公开(公告)号：US20190052597A1

公开(公告)日：2019-02-14

申请号：US15674945

申请日：2017-08-11

Applicant: salesforce.com, inc.

Inventor： Satish Raghunath ,  Kartikeya Chandrayana ,  Shauli Gal

IPC: H04L29/12 ,  H04L12/24 ,  G06N99/00

Abstract: Network performance data metrics are gathered and aggregated. A policy engine chooses an optimal selection of networking protocol based on the metrics. Data delivery strategies are applied to a portion of a network to deliver content using the received choice of networking protocol policy optimized by machine learning techniques.

公开(公告)号：US20180331908A1

公开(公告)日：2018-11-15

申请号：US15593635

申请日：2017-05-12

Applicant: salesforce.com, inc.

Inventor： Shauli Gal ,  Satish Raghunath ,  Kartikeya Chandrayana ,  Tejaswini Ganapathi

IPC: H04L12/24 ,  H04L29/06 ,  H04L29/08 ,  H04L12/26

CPC classification number: H04L41/0893 ,  H04L41/046 ,  H04L43/16 ,  H04L67/02 ,  H04L67/28 ,  H04L67/2833 ,  H04L69/16

Abstract: 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.

公开(公告)号：US20180278571A1

公开(公告)日：2018-09-27

申请号：US15466664

申请日：2017-03-22

Applicant: salesforce.com, inc.

Inventor： Shauli Gal ,  Satish Raghunath ,  Kartikeya Chandrayana

IPC: H04L29/12 ,  H04L12/841

CPC classification number: H04L61/1511

Abstract: Network performance data, such as routing trip time between autonomous systems and data centers, is gathered and aggregated to determine optimal mappings of autonomous systems and data centers. Autonomous system based DNS steering may be automated by repeating a life cycle of determining the optimal mappings. Data delivery strategies are applied to a portion of a network to deliver content using the optimal mappings.

公开(公告)号：US11665080B2

公开(公告)日：2023-05-30

申请号：US17894121

申请日：2022-08-23

Applicant: Salesforce.com, Inc.

Inventor： Shauli Gal ,  Satish Raghunath ,  Kartikeya Chandrayana ,  Gabriel Tavridis ,  Kevin Wang

IPC: H04L43/16 ,  H04L43/08 ,  H04L41/046 ,  H04L41/0816 ,  H04L43/04 ,  H04L43/12 ,  H04L41/0893 ,  H04L41/0631

CPC classification number: H04L43/16 ,  H04L41/046 ,  H04L41/0816 ,  H04L43/04 ,  H04L43/08 ,  H04L43/12 ,  H04L41/064 ,  H04L41/0893

Abstract: A data-driven approach to network performance diagnosis and root-cause analysis is presented. By collecting and aggregating data attribute values across multiple components of a content delivery system and comparing against baselines for points of inspection, network performance diagnosis and root-cause analysis may be prioritized based on impact on content delivery. Recommended courses of action may be determined and provided based on the tracked network performance analysis at diagnosis points.

公开(公告)号：US11425088B2

公开(公告)日：2022-08-23

申请号：US17157945

申请日：2021-01-25

Applicant: salesforce.com, inc.

Inventor： Shauli Gal ,  Satish Raghunath ,  Kartikeya Chandrayana

IPC: H04L61/4511 ,  H04L67/60 ,  H04L43/0864 ,  H04L67/2885

Abstract: A CDN traffic is optimized by a client-side system that maps the servers in the CDN system. Content requests from client devices for domain names are forwarded to servers in the CDN system that may be selected from the map to prevent a cache miss in the a server for a particular request for content.

公开(公告)号：US11233704B2

公开(公告)日：2022-01-25

申请号：US16775807

申请日：2020-01-29

Applicant: salesforce.com, inc.

Inventor： Tejaswini Ganapathi ,  Satish Raghunath ,  Shauli Gal

IPC: H04L12/24 ,  H04L12/819 ,  H04L12/26

Abstract: Bypass network traffic records are generated for a web application. Sufficient statistics of network optimization parameters are calculated for network performance categories. The bypass network traffic records are partitioned for the network performance categories into network traffic buckets. Sufficient statistics and the network traffic buckets are used to generate network quality mappings. The network quality mappings are used as training instances to train a machine learner for generating network optimization policies to be implemented by user devices.

公开(公告)号：US20210234782A1

公开(公告)日：2021-07-29

申请号：US16775819

申请日：2020-01-29

Applicant: salesforce.com, inc.

Inventor： Tejaswini Ganapathi ,  Shauli Gal ,  Satish Raghunath ,  Kartikeya Chandrayana

IPC: H04L12/26

Abstract: Network request data is collected over a time window. The network request data is filtered to generate bypass network traffic records. Network performance categories are generated from the bypass network traffic records. Sufficient statistics of network optimization parameters are calculated for the network performance categories. The sufficient statistics of the network optimization parameters are used to generate network optimization parameters to determine data download performances of web applications.

公开(公告)号：US11076023B1

公开(公告)日：2021-07-27

申请号：US16775834

申请日：2020-01-29

Applicant: salesforce.com, inc.

Inventor： Tejaswini Ganapathi ,  Kartikeya Chandrayana ,  Satish Raghunath

IPC: H04L29/06 ,  H04L12/26 ,  G06F16/958

Abstract: Network requests are made to download a data object for a display page with different time delays. Page load outcomes of the display page are determined. A criticality of downloading the data object with respect to the display page is determined using page load outcomes. Criticalities of data objects of the display page are used to generate a specific data object download order that prioritizes critical and/or blocking objects of the display page.