公开(公告)号：US10959113B2

公开(公告)日：2021-03-23

申请号：US16398990

申请日：2019-04-30

Applicant: salesforce.com, inc.

Inventor： Tejaswini Ganapathi ,  Satish Raghunath ,  Xu Che

IPC: H04W24/02 ,  H04W24/08

Abstract: Network traffic data associated with computer applications is collected based on static policies. First network parameter vectors are generated over a time period. Each network parameter vector of the first network parameter vectors comprises first optimal values, estimated by a Bayesian learning module using a generative model, for network parameters. Second network parameter vectors are generated over the same time period. Each network parameter vector of the second network parameter vectors comprises second optimal values, computed by a best parameter generator through optimizing an objective function, for the network parameters. It is determined whether the first network parameter vectors converge to the second network parameter vectors and whether network parameter optimization for the network parameters is performing normally.

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：US10904205B2

公开(公告)日：2021-01-26

申请号：US16779562

申请日：2020-01-31

Applicant: salesforce.com, inc.

Inventor： Shauli Gal ,  Satish Raghunath ,  Kartikeya Chandrayana

IPC: H04L29/12 ,  H04L29/08 ,  H04L12/26

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：US10791035B2

公开(公告)日：2020-09-29

申请号：US15803501

申请日：2017-11-03

Applicant: salesforce.com, inc.

Inventor： Tejaswini Ganapathi ,  Satish Raghunath ,  Xu Che ,  Shauli Gal ,  Andrey Karapetov

IPC: H04L12/24 ,  G06F17/16 ,  H04L12/26 ,  G06N7/00 ,  G05B17/02 ,  G06F16/2458

Abstract: An data driven approach to generating synthetic data matrices is presented. By retrieving historical network traffic data, probabilistic models are generated. Optimal distribution families for a set of independent data segments are determined. Applications are tested and performance metrics are determined based on the generated synthetic data matrices.

公开(公告)号：US20180278688A1

公开(公告)日：2018-09-27

申请号：US15469419

申请日：2017-03-24

Applicant: salesforce.com, inc.

Inventor： Shauli Gal ,  Satish Raghunath ,  Kartikeya Chandrayana

IPC: H04L29/08 ,  H04L29/12 ,  H04L12/26

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.