Patents by Inventor Kumaresan Ellappan

Kumaresan Ellappan 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).

  • Patent number: 11848983
    Abstract: Systems and methods are provided for implementing a new discovery and mapping micro-service. The discovery and mapping micro-service may be implemented to dynamically discover and map a cloud environment as the deployed resources change. The new micro-service can map the environment without prior knowledge (e.g., without a template or manual interaction) by initializing itself and tracking resource changes. Once a new message is received in relation to a resource change, the disclosed system may realign and/or update the map of the cloud environment.
    Type: Grant
    Filed: March 18, 2022
    Date of Patent: December 19, 2023
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Kumaresan Ellappan, Kalyan Balaji Rayala, Swaminathan Venkataraman
  • Publication number: 20230300187
    Abstract: Systems and methods are provided for implementing a new discovery and mapping micro-service. The discovery and mapping micro-service may be implemented to dynamically discover and map a cloud environment as the deployed resources change. The new micro-service can map the environment without prior knowledge (e.g., without a template or manual interaction) by initializing itself and tracking resource changes. Once a new message is received in relation to a resource change, the disclosed system may realign and/or update the map of the cloud environment.
    Type: Application
    Filed: March 18, 2022
    Publication date: September 21, 2023
    Inventors: KUMARESAN ELLAPPAN, KALYAN BALAJI RAYALA, SWAMINATHAN VENKATARAMAN
  • Patent number: 10958730
    Abstract: An example system including a controller, a processing resource, and a memory resource including instructions that when executed cause the processing resource to discover an orphan virtual machine (VM) included in a cloud platform. The controller may determine characteristics of the orphan VM based on information identified in the cloud platform and map the orphan VM to a virtual network function (VNF) based on the information identified in the cloud platform and assign the VNF to a tenant based on the characteristics of the orphan VM.
    Type: Grant
    Filed: September 28, 2018
    Date of Patent: March 23, 2021
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Ignacio Aldama Perez, Kumaresan Ellappan, Ruben Sevilla Giron, Javier Garcia Lopez
  • Patent number: 10680896
    Abstract: A computing system comprising a monitoring engine to generate and save a plurality of monitoring rules based on virtualized network function (VNF) types and VNF components. Each monitoring rule corresponds to a unique combination of a VNF type and a VNF component. The monitoring engine further receives a VNF monitoring notification for monitoring a new VNF provisioned in a network function virtualization environment. The VNF monitoring notification indicates a key performance indicator (KPI) to be monitored for the new VNF and KPI parameters corresponding to the KPI. Further, the monitoring engine determines a monitoring rule corresponding to the new VNF, from among the plurality of monitoring rules, based on the KPI. The monitoring engine subsequently executes the monitoring rule corresponding to the new VNF for monitoring KPIs for determining performance of the new VNF.
    Type: Grant
    Filed: November 10, 2015
    Date of Patent: June 9, 2020
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Kumaresan Ellappan, Ulhas Dhramarao Gourgonda, Gajendra Subramanyam
  • Publication number: 20190236439
    Abstract: A computing device includes at least one hardware processor and a machine-readable storage medium. The machine-readable storage medium stores instructions executable by the processor to: perform empirical mode decomposition of utilization data for a computing resource to generate a plurality of component functions; generate a plurality of neural networks via the plurality of component functions; generate, via the plurality of neural networks, a composite utilization forecast for the computing resource; and allocate the computing resource based on the composite utilization forecast.
    Type: Application
    Filed: January 31, 2018
    Publication date: August 1, 2019
    Inventors: Prajwal D, Gaurav Jain, Kumaresan Ellappan
  • Publication number: 20180176088
    Abstract: A computing system comprising a monitoring engine to generate and save a plurality of monitoring rules based on virtualized network function (VNF) types and VNF components. Each monitoring rule corresponds to a unique combination of a VNF type and a VNF component. The monitoring engine further receives a VNF monitoring notification for monitoring a new VNF provisioned in a network function virtualization environment. The VNF monitoring notification indicates a key performance indicator (KPI) to be monitored for the new VNF and KPI parameters corresponding to the KPI. Further, the monitoring engine determines a monitoring rule corresponding to the new VNF, from among the plurality of monitoring rules, based on the KPI. The monitoring engine subsequently executes the monitoring rule corresponding to the new VNF for monitoring KPIs for determining performance of the new VNF.
    Type: Application
    Filed: November 10, 2015
    Publication date: June 21, 2018
    Inventors: KUMARESAN ELLAPPAN, Ulhas Dhramarao GOURGONDA, Gajendra SUBRAMANYAM
  • Publication number: 20130254040
    Abstract: Systems and methods for call management for providing promotional content in a telecommunications network are described herein. A dialed telephone number is determined from a call request. The call request originates from a mobile device of a user. During a call attempt, promotional content that correlates with the dialed telephone number is provided.
    Type: Application
    Filed: October 21, 2011
    Publication date: September 26, 2013
    Inventor: Kumaresan Ellappan