公开(公告)号：US11483374B2

公开(公告)日：2022-10-25

申请号：US16723952

申请日：2019-12-20

Applicant: salesforce.com, inc.

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

IPC: G06N20/00 ,  H04L41/14 ,  H04L41/16 ,  H04L43/08 ,  H04L67/06 ,  H04L69/163 ,  H04L69/16 ,  H04W24/02 ,  H04L67/56 ,  H04L67/568

Abstract: Network traffic data associated with data requests to computer applications based on static policies is collected. An optimization order is established among network parameters. A first network parameter of a higher rank in the optimization order is estimated based on the collected network traffic data before one or more other network parameters of lower ranks are estimated. Optimal values for the other network parameters are estimated based at least in part on the estimated first optimal value for the first network parameter. The estimated first optimal value of the first network parameter and the estimated optimal values for the other network parameters are propagated to be used by user devices to make new data requests to the computer applications.

公开(公告)号：US20220094619A1

公开(公告)日：2022-03-24

申请号：US17538815

申请日：2021-11-30

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：US11271840B2

公开(公告)日：2022-03-08

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 ,  H04L43/0882 ,  H04L43/0811 ,  H04L43/0864

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：US20210014126A1

公开(公告)日：2021-01-14

申请号：US17037501

申请日：2020-09-29

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：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：US20190179961A1

公开(公告)日：2019-06-13

申请号：US15836679

申请日：2017-12-08

Applicant: salesforce.com, inc.

Inventor： Shauli Gal ,  Satish Raghunath ,  Kartikeya Chandrayana

IPC: G06F17/30

CPC classification number: G06F16/9535 ,  G06F16/2425 ,  G06F16/9038

Abstract: Data analysis is performed through a series of commands that apply functions to an initial scope of data. In a client-server architecture, a data analyst may interact with and view a scope of data through a series of commands. Query formation may be performed at a server to generate reports of data to be presented at the client.

公开(公告)号：US20190138362A1

公开(公告)日：2019-05-09

申请号：US15803624

申请日：2017-11-03

Applicant: salesforce.com, inc.

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

IPC: G06F9/50 ,  H04L29/08

Abstract: Network traffic data associated with data requests to computer applications is collected. Specific values for specific scope-level fields are used to identify a specific scope. Traffic shares for combinations of values for specific sub-scope-level fields are determined. Based on the traffic shares, specific sub scopes are identified within the specific scope. It is determined whether customized network strategies developed specifically for the specific sub scopes are to be applied to handling new data requests that share the specific values for the specific scope-level fields and the specific combinations of values for the specific sub-scope-level fields. In response to determining that a customized network strategy for a sub scope is to be applied, estimated optimal values for network parameters in the customized network strategy are to be used by user devices to make new data requests to the computer applications.

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：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.