Patents by Inventor Shankari KALYANARAMAN

Shankari KALYANARAMAN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Crowd-sourced operational metric analysis of virtual appliances
    Patent number: 11418574
    Abstract: A system and method for performing an operational metric analysis for a virtual appliance uses application operational data from multiple instances of the virtual appliance. The application operational data is then used to generate an operational metric prediction for the virtual appliance.
    Type: Grant
    Filed: September 25, 2019
    Date of Patent: August 16, 2022
    Assignee: VMware, Inc.
    Inventors: Rean Griffith, Anne Holler, Shankari Kalyanaraman, Xiaoyun Zhu, Vijayaraghavan Soundararajan, Adarsh Jagadeeshwaran, Pradeep Padala, Pinar Yanardag Delul
  • CROWD-SOURCED OPERATIONAL METRIC ANALYSIS OF VIRTUAL APPLIANCES
    Publication number: 20200021639
    Abstract: A system and method for performing an operational metric analysis for a virtual appliance uses application operational data from multiple instances of the virtual appliance. The application operational data is then used to generate an operational metric prediction for the virtual appliance.
    Type: Application
    Filed: September 25, 2019
    Publication date: January 16, 2020
    Inventors: Rean Griffith, Anne Holler, Shankari Kalyanaraman, Xiaoyun Zhu, Vijayaraghavan Soundararajan, Adarsh Jagadeeshwaran, Pradeep Padala, Pinar Yanardag Delul
  • Crowd-sourced operational metric analysis of virtual appliances
    Patent number: 10432699
    Abstract: A system and method for performing an operational metric analysis for a virtual appliance uses application operational data from multiple instances of the virtual appliance. The application operational data is then used to generate an operational metric prediction for the virtual appliance.
    Type: Grant
    Filed: June 26, 2014
    Date of Patent: October 1, 2019
    Assignee: VMware, Inc.
    Inventors: Rean Griffith, Anne Holler, Shankari Kalyanaraman, Xiaoyun Zhu, Vijayaraghavan Soundararajan, Adarsh Jagadeeshwaran, Pradeep Padala, Pinar Yanardag Delul
  • CROWD-SOURCED OPERATIONAL METRIC ANALYSIS OF VIRTUAL APPLIANCES
    Publication number: 20150379167
    Abstract: A system and method for performing an operational metric analysis for a virtual appliance uses application operational data from multiple instances of the virtual appliance. The application operational data is then used to generate an operational metric prediction for the virtual appliance.
    Type: Application
    Filed: June 26, 2014
    Publication date: December 31, 2015
    Applicant: VMware, Inc.
    Inventors: Rean Griffith, Anne Holler, Shankari Kalyanaraman, Xiaoyun Zhu, Vijayaraghavan Soundararajan, Adarsh Jagadeeshwaran, Pradeep Padala, Pinar Yanardag Delul
  • Opportunistically proactive resource management using spare capacity
    Patent number: 8930948
    Abstract: Embodiments perform opportunistically proactive resource scheduling for a plurality of resource-consuming entities. The scheduling is based on both current entitlement (or demand) by the entities and predicted future entitlement (or demand) by the entities. Resources are allocated based on the current demands, while any remaining resource capacity is further allocated to entities based on predicted demands. In some embodiments, the scheduling is performed on a cluster of hosts executing a plurality of virtual machines (VMs) in a virtualized datacenter to implement load balancing.
    Type: Grant
    Filed: June 21, 2012
    Date of Patent: January 6, 2015
    Assignee: VMware, Inc.
    Inventors: Ganesha Shanmuganathan, Anne Marie Holler, Pradeep Padala, Rean Griffith, Shankari Kalyanaraman
  • Opportunistically Proactive Resource Management Using Spare Capacity
    Publication number: 20130346969
    Abstract: Embodiments perform opportunistically proactive resource scheduling for a plurality of resource-consuming entities. The scheduling is based on both current entitlement (or demand) by the entities and predicted future entitlement (or demand) by the entities. Resources are allocated based on the current demands, while any remaining resource capacity is further allocated to entities based on predicted demands. In some embodiments, the scheduling is performed on a cluster of hosts executing a plurality of virtual machines (VMs) in a virtualized datacenter to implement load balancing.
    Type: Application
    Filed: June 21, 2012
    Publication date: December 26, 2013
    Applicant: VMWARE, INC.
    Inventors: Ganesha SHANMUGANATHAN, Anne Marie HOLLER, Pradeep PADALA, Rean GRIFFITH, Shankari KALYANARAMAN