公开(公告)号：US11411801B2

公开(公告)日：2022-08-09

申请号：US15675479

申请日：2017-08-11

Applicant: salesforce.com, inc.

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

IPC: G06F15/173 ,  H04L41/0631 ,  H04L43/08 ,  H04L67/75 ,  H04L41/5009 ,  H04L67/56 ,  H04L41/22 ,  H04L41/06

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. Alerts may be generated to present recommended courses of action based on the tracked performance analysis.

公开(公告)号：US20210367874A1

公开(公告)日：2021-11-25

申请号：US17164810

申请日：2021-02-01

Applicant: salesforce.com, inc.

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

IPC: H04L12/26 ,  H04L12/24

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：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.

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：US10911347B2

公开(公告)日：2021-02-02

申请号：US16660732

申请日：2019-10-22

Applicant: salesforce.com, inc.

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

IPC: G06F15/173 ,  H04L12/26 ,  H04L12/24

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：US10454803B2

公开(公告)日：2019-10-22

申请号：US15722746

申请日：2017-10-02

Applicant: salesforce.com, inc.

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

IPC: G06F15/173 ,  H04L12/26 ,  H04L12/24

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：US20190052518A1

公开(公告)日：2019-02-14

申请号：US15675479

申请日：2017-08-11

Applicant: salesforce.com, inc.

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

IPC: H04L12/24 ,  H04L12/26

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. Alerts may be generated to present recommended courses of action based on the tracked performance analysis.

公开(公告)号：US20230065718A1

公开(公告)日：2023-03-02

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

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：US11425019B2

公开(公告)日：2022-08-23

申请号：US17164810

申请日：2021-02-01

Applicant: salesforce.com, inc.

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

IPC: G06F15/173 ,  H04L43/16 ,  H04L43/08 ,  H04L41/046 ,  H04L41/0816 ,  H04L43/04 ,  H04L43/12 ,  H04L41/0893 ,  H04L41/0631

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：US20200052995A1

公开(公告)日：2020-02-13

申请号：US16660732

申请日：2019-10-22

Applicant: salesforce.com, inc.

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

IPC: H04L12/26 ,  H04L12/24

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.