Sunil S Gupta

20210389877, Dec 16, 2021

Jun 11, 2020

16/899290

- San Jose CA, US
Sunil Gupta - Milpitas CA, US
Thanh Trung Ngo - Menlo Park CA, US
Xuan Loc Bui - Sunnyvale CA, US
Hoang Viet Nguyen - Pleasanton CA, US
Shashi Gandham - Fremont CA, US
Navindra Yadav - Cupertino CA, US

G06F 3/06
G06F 9/455
G06F 11/14

Systems, methods, and computer-readable for defining host functionalities in a computing environment include obtaining two or more snapshots comprising information pertaining to two or more processes executing in two or more hosts, the two or more snapshots being obtained at two or more points in time from the two or more hosts. One or more long-running processes amongst the two or more processes are identified based on one or more criteria associated with long-running processes. One or more priorities associated with the one or more long-running processes and used for defining functionalities for at least a subset of the two or more hosts, where high priorities are assigned to long-running processes, such as web server or database server processes, which are unique to at least the subset of the two or more hosts. Resources may be provisioned based on these host functionalities.

20200304523, Sep 24, 2020

Jun 11, 2020

16/899190

- San Jose CA, US
Abhishek Ranjan Singh - Pleasanton CA, US
Shashidhar Gandham - Fremont CA, US
Ellen Christine Scheib - Mountain View CA, US
Omid Madani - San Carlos CA, US
Ali Parandehgheibi - Sunnyvale CA, US
Jackson Ngoc Ki Pang - Sunnyvale CA, US
Vimalkumar Jeyakumar - Los Altos CA, US
Michael Standish Watts - Los Altos CA, US
Hoang Viet Nguyen - Pleasanton CA, US
Khawar Deen - Sunnyvale CA, US
Rohit Chandra Prasad - Sunnyvale CA, US
Sunil Kumar Gupta - Milpitas CA, US
Supreeth Hosur Nagesh Rao - Cupertino CA, US
Anubhav Gupta - Fremont CA, US
Ashutosh Kulshreshtha - Cupertino CA, US
Roberto Fernando Spadaro - Milpitas CA, US
Hai Trong Vu - San Jose CA, US
Varun Sagar Malhotra - Sunnyvale CA, US
Shih-Chun Chang - San Jose CA, US
Bharathwaj Sankara Viswanathan - Mountain View CA, US
Duane Thomas Barlow - Fremont CA, US

H04L 29/06
H04L 12/26

An example method includes detecting, using sensors, packets throughout a datacenter. The sensors can then send packet logs to various collectors which can then identify and summarize data flows in the datacenter. The collectors can then send flow logs to an analytics module which can identify the status of the datacenter and detect an attack.

20200220780, Jul 9, 2020

Mar 16, 2020

16/820404

- San Jose CA, US
Shashi Gandham - Fremont CA, US
Hoang Nguyen - Pleasanton CA, US
Abhishek Singh - Pleasanton CA, US
Shih-Chun Chang - San Jose CA, US
Navindra Yadav - Cupertino CA, US
Ali Parandehgheibi - Sunnyvale CA, US
Paul Mach - Oakland CA, US
Ravi Prasad - Fremont CA, US
Varun Malhotra - Sunnyvale CA, US
Michael Watts - Mill Valley CA, US
Sunil Gupta - Milpitas CA, US

H04L 12/24

The disclosed technology relates to intent driven network management. A system is configured to maintain an inventory store comprising records for a set of network entities in a network, wherein each network entity in the set of network entities is associated with a record in the inventory store. The system receives a user intent statement comprising an action and a flow filter representing network data flows on which the action is to be applied and queries, based on the flow filter, the inventory store to identify a plurality of network entities in the set of network entities to which the user intent statement applies. The system generates a plurality of network policies that implement the user intent statement based on the plurality of network entities and the action and enforces the plurality network policies.

20190081959, Mar 14, 2019

Nov 2, 2018

16/179027

- San Jose CA, US
Abhishek Ranjan Singh - Pleasanton CA, US
Shashidhar Gandham - Fremont CA, US
Ellen Christine Scheib - Mountain View CA, US
Omid Madani - San Carlos CA, US
Ali Parandehgheibi - Sunnyvale CA, US
Jackson Ngoc Ki Pang - Sunnyvale CA, US
Vimalkumar Jeyakumar - Los Altos CA, US
Michael Standish Watts - Mill Valley CA, US
Hoang Viet Nguyen - Pleasanton CA, US
Khawar Deen - Sunnyvale CA, US
Rohit Chandra Prasad - Sunnyvale CA, US
Sunil Kumar Gupta - Milpitas CA, US
Supreeth Hosur Nagesh Rao - Cupertino CA, US
Anubhav Gupta - Sunnyvale CA, US
Ashutosh Kulshreshtha - Cupertino CA, US
Roberto Fernando Spadaro - Milpitas CA, US
Hai Trong Vu - San Jose CA, US
Varun Sagar Malhotra - Sunnyvale CA, US
Shih-Chun Chang - San Jose CA, US
Bharathwaj Sankara Viswanathan - Mountain View CA, US
Duane Thomas Barlow - Fremont CA, US

H04L 29/06
H04L 12/26

An example method includes detecting, using sensors, packets throughout a datacenter. The sensors can then send packet logs to various collectors which can then identify and summarize data flows in the datacenter. The collectors can then send flow logs to an analytics module which can identify the status of the datacenter and detect an attack.

20180278480, Sep 27, 2018

Mar 27, 2017

15/470410

- San Jose CA, US
Shashi Gandham - Fremont CA, US
Hoang Nguyen - San Jose CA, US
Abhishek Singh - Pleasanton CA, US
Shih-Chun Chang - San Jose CA, US
Navindra Yadav - Cupertino CA, US
Ali Parandehgheibi - Sunnyvale CA, US
Paul Mach - Oakland CA, US
Ravi Prasad - Fremont CA, US
Varun Malhotra - Sunnyvale CA, US
Michael Watts - Mill Valley CA, US
Sunil Gupta - Milpitas CA, US

H04L 12/24

The disclosed technology relates to intent driven network management. A system is configured to maintain an inventory store comprising records for a set of network entities in a network, wherein each network entity in the set of network entities is associated with a record in the inventory store. The system receives a user intent statement comprising an action and a flow filter representing network data flows on which the action is to be applied and queries, based on the flow filter, the inventory store to identify a plurality of network entities in the set of network entities to which the user intent statement applies. The system generates a plurality of network policies that implement the user intent statement based on the plurality of network entities and the action and enforces the plurality network policies.

20180278481, Sep 27, 2018

Mar 27, 2017

15/470499

- San Jose CA, US
Shashi Gandham - Fremont CA, US
Hai Vu - San Jose CA, US
Varun Malhotra - Sunnyvale CA, US
Sunil Gupta - Milpitas CA, US
Abhishek Singh - Pleasanton CA, US
Navindra Yadav - Cupertino CA, US
Ali Parandehgheibi - Sunnyvale CA, US
Ravi Prasad - Fremont CA, US
Praneeth Vallem - San Jose CA, US
Paul Lesiak - West Orange NJ, US
Hoang Nguyen - San Jose CA, US

H04L 12/24
H04L 29/08
G06F 17/30

The disclosed technology relates to a distributed policy store. A system is configured to locate, in an index, an entry for a network entity, determine, based on the entry, a file identifier for a file containing a record for the network entity and an offset indicating a location of the record in the file. The system is further configured to locate the file in a distributed file system using the file identifier, locate the record in the file using the offset, and retrieve the record.

20160359872, Dec 8, 2016

Apr 20, 2016

15/134100

- San Jose CA, US
Abhishek Ranjan Singh - Pleasanton CA, US
Shashidhar Gandham - Fremont CA, US
Ellen Christine Scheib - Mountain View CA, US
Omid Madani - San Jose CA, US
Ali Parandehgheibi - Sunnyvale CA, US
Jackson Ngoc Ki Pang - Sunnyvale CA, US
Vimalkumar Jeyakumar - Sunnyvale CA, US
Michael Standish Watts - Mill Valley CA, US
Hoang Viet Nguyen - Pleasanton CA, US
Khawar Deen - Sunnyvale CA, US
Rohit Chandra Prasad - Sunnyvale CA, US
Sunil Kumar Gupta - Milpitas CA, US
Supreeth Hosur Nagesh Rao - Milpitas CA, US
Anubhav Gupta - Sunnyvale CA, US
Ashutosh Kulshreshtha - Fremont CA, US
Roberto Fernando Spadaro - Milpitas CA, US
Hai Trong Vu - San Jose CA, US
Varun Sagar Malhotra - Sunnyvale CA, US
Shih-Chun Chang - San Jose CA, US
Bharathwaj Sankara Viswanathan - Mountain View CA, US
Duane Thomas Barlow - Oakland CA, US
Andrew Sloane - Pleasanton CA, US

H04L 29/06
H04L 12/26

An example method includes detecting, using sensors, packets throughout a datacenter. The sensors can then send packet logs to various collectors which can then identify and summarize data flows in the datacenter. The collectors can then send flow logs to an analytics module which can identify the status of the datacenter and detect an attack.

20150242886, Aug 27, 2015

Feb 25, 2014

14/189794

- Sunnyvale CA, US
Sunil Kumar Gupta - Sunnyvale CA, US

YAHOO! INC. - Sunnyvale CA

G06Q 30/02

A system can provide ad impression availability for one or more audience segments or at least part of an ad campaign. The system can also adjust such ad impression availability at different stages of ad production, booking, and delivery, such as at a time immediately prior to serving an ad impression or at a time of presenting ad impression availability to an advertiser at booking of ad impressions. Adjustments can be based on attributes of the audience segment(s) or the at least part of an ad campaign. For example, ad impression availability can be adjusted according to breadth and/or popularity of the segment(s) or the at least part of an ad campaign.