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公开(公告)号：US20200177541A1
公开(公告)日：2020-06-04
申请号：US16779562
申请日：2020-01-31
Applicant: salesforce.com, inc.
Inventor： Shauli Gal , Satish Raghunath , Kartikeya Chandrayana
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.
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公开(公告)号：US10609119B2
公开(公告)日：2020-03-31
申请号：US15803614
申请日：2017-11-03
Applicant: salesforce.com, inc.
Inventor： Tejaswini Ganapathi , Satish Raghunath , Kartikeya Chandrayana , Shauli Gal
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.
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公开(公告)号：US10567332B2
公开(公告)日：2020-02-18
申请号：US15469419
申请日：2017-03-24
Applicant: salesforce.com, inc.
Inventor： Shauli Gal , Satish Raghunath , Kartikeya Chandrayana
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.
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公开(公告)号：US20190141549A1
公开(公告)日：2019-05-09
申请号：US15803509
申请日：2017-11-03
Applicant: salesforce.com, inc.
Inventor： Tejaswini Ganapathi , Satish Raghunath , Shauli Gal , Kartikeya Chandrayana , Xu Che , Andrey Karapetov
Abstract: An data driven approach to emulating application performance is presented. By retrieving historical network traffic data, probabilistic models are generated to simulate wireless networks. Optimal distribution families for network values are determined. Performance data is captured from applications operating on simulated user devices operating on a virtual machine with a network simulator running sampled tuple values.
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25.发明申请公开(公告)号：US20190141113A1
公开(公告)日：2019-05-09
申请号：US15803614
申请日：2017-11-03
Applicant: salesforce.com, inc.
Inventor： Tejaswini Ganapathi , Satish Raghunath , Kartikeya Chandrayana , Shauli Gal
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.
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Patent Agency Ranking
公开(公告)号：US20190140910A1
公开(公告)日：2019-05-09
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
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.
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公开(公告)号：US10205634B2
公开(公告)日：2019-02-12
申请号：US15593635
申请日：2017-05-12
Applicant: salesforce.com, inc.
Inventor： Shauli Gal , Satish Raghunath , Kartikeya Chandrayana , Tejaswini Ganapathi
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.
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公开(公告)号：US12009989B2
公开(公告)日：2024-06-11
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: H04L41/14 , G05B17/02 , G06F16/2458 , G06F17/16 , G06N7/01 , H04L41/142 , H04L43/08 , H04L43/0829 , H04L43/0852 , H04L43/087 , H04L43/0888
CPC classification number: H04L41/145 , G05B17/02 , G06F16/2477 , G06F17/16 , G06N7/01 , H04L41/142 , H04L43/08 , H04L43/0829 , H04L43/0858 , H04L43/087 , H04L43/0888
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.
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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
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.
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公开(公告)号：US20210359972A1
公开(公告)日：2021-11-18
申请号：US17157945
申请日：2021-01-25
Applicant: salesforce.com, inc.
Inventor： Shauli Gal , Satish Raghunath , Kartikeya Chandrayana
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.
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