Patents by Inventor PRASHANT AMBARDEKAR

PRASHANT AMBARDEKAR 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: 11349724
    Abstract: An approach for a software defined networking manager to perform a predictive analysis of proposed modifications to a software defined network (SDN) is presented. A method comprises receiving entity logical associations that are captured in a set of rules implemented in a SDN. Once a proposed modification to the entity logical associations is received, without implementing the proposed modification and without modifying the set of rules, impacted entity associations, from the entity logical associations, are identified. Upon receiving input indicating that the proposed modification is to be accepted, an updated set of rules for the SDN is generated by updating the set of rules based on the proposed modification, and the updated set of rules is implemented in the SDN.
    Type: Grant
    Filed: February 28, 2018
    Date of Patent: May 31, 2022
    Assignee: NICIRA, INC.
    Inventors: Ujwala Kawalay, Prashant Ambardekar, Prayas Gaurav, Rajiv Krishnamurthy, Gurprit Johal
  • Patent number: 11315044
    Abstract: The disclosure provides an approach for collecting system state data relating to whether certain system states overload a processor assigned to a controller of the system. The approach further involves using the collected data to train a regression machine learning algorithm to predict whether indented or desired system states will result in processor overload. Depending on the prediction, the approach takes one of several steps to efficiently change system state.
    Type: Grant
    Filed: February 8, 2019
    Date of Patent: April 26, 2022
    Assignee: VMware, Inc.
    Inventors: Prashant Ambardekar, Darshika Khandelwal, Rushikesh Wagh, Paryushan Sarsamkar, Nikhil Bokare
  • Publication number: 20200364001
    Abstract: In one example, workload attributes associated with workloads running in a virtualized computing environment may be retrieved. A distance analysis may be performed using the retrieved workload attributes to generate a distance matrix that identifies a distance between each workload and each other workload. Further, a cluster analysis may be performed on the workloads based on the distance matrix to generate clusters, where each cluster may include identical workloads. Furthermore, the identical workloads in each cluster may be associated with at least one security policy to provide security services in the virtualized computing environment.
    Type: Application
    Filed: August 20, 2019
    Publication date: November 19, 2020
    Inventors: Vaibhav BHANDARI, Darshika KHANDELWAL, Ujwala KAWALAY, Prashant AMBARDEKAR, Prayas GAURAV
  • Publication number: 20200244702
    Abstract: This disclosure presents processes and systems that translate policies defined for virtual objects, such as virtual servers, applications, and databases, of a distributed computing system into identity information of services provided by virtual objects to computing devices located outside the distributed computing system. Processes and systems form object graphs of computing device identity information, virtual objects, and virtual object identify information. Processes and systems translate polices for controlling network between the computing devices and the virtual objects into identity information of the computing devices and the virtual objects. The identify information of the virtual objects and the computing devices is used to create rules for controlling network traffic between the virtual objects and the computing devices.
    Type: Application
    Filed: December 13, 2019
    Publication date: July 30, 2020
    Inventors: PRASHANT AMBARDEKAR, Rajiv Krishnamurthy, Prayas Gaurav, Ujwala Kawalay, Gurrprit Johal
  • Publication number: 20200151609
    Abstract: The disclosure provides an approach for collecting system state data relating to whether certain system states overload a processor assigned to a controller of the system. The approach further involves using the collected data to train a regression machine learning algorithm to predict whether indented or desired system states will result in processor overload. Depending on the prediction, the approach takes one of several steps to efficiently change system state.
    Type: Application
    Filed: February 8, 2019
    Publication date: May 14, 2020
    Inventors: PRASHANT AMBARDEKAR, DARSHIKA KHANDELWAL, RUSHIKESH WAGH, PARYUSHAN SARSAMKAR, NIKHIIL BOKARE
  • Publication number: 20190215246
    Abstract: An approach for a software defined networking manager to perform a predictive analysis of proposed modifications to a software defined network (SDN) is presented. A method comprises receiving entity logical associations that are captured in a set of rules implemented in a SDN. Once a proposed modification to the entity logical associations is received, without implementing the proposed modification and without modifying the set of rules, impacted entity associations, from the entity logical associations, are identified. Upon receiving input indicating that the proposed modification is to be accepted, an updated set of rules for the SDN is generated by updating the set of rules based on the proposed modification, and the updated set of rules is implemented in the SDN.
    Type: Application
    Filed: February 28, 2018
    Publication date: July 11, 2019
    Inventors: UJWALA KAWALAY, Prashant Ambardekar, Prayas Gaurav, Rajiv Krishnamurthy, Gurprit Johal
  • Publication number: 20190018710
    Abstract: In a computer-implemented method for managing resource allocation of a managed system, responsive to a request by a consumer node, an owner node of a plurality of owner nodes that controls resource allocations from the pool of resources is determined, where the resource is associated with a data object. A resource is allocated from a pool of resources comprising a plurality of resources by the owner node. An allocation marker corresponding to the resource is created. The resource and the allocation marker are made available for retrieval by the consumer node.
    Type: Application
    Filed: November 13, 2017
    Publication date: January 17, 2019
    Inventors: PRASHANT AMBARDEKAR, Prayas Gaurav, James Joseph Stabile, Steven Peters
  • Publication number: 20170371716
    Abstract: Example methods are provided for a first node to perform identifier (ID) allocation in a virtualized computing environment that includes a cluster formed by the first node and at least one second node. The method may comprise retrieving, from a pool of IDs associated with the cluster, a batch of IDs to a cache associated with the first node. The pool of IDs may be shared within the cluster and the batch of IDs retrieved for subsequent ID allocation by the first node. The method may also comprise, in response to receiving a request for ID allocation from an ID consumer, allocating one or more IDs from the batch of IDs in the cache to respective one or more objects for unique identification of the one or more objects across the cluster; and sending, to the ID consumer, a response that includes the allocated one or more IDs.
    Type: Application
    Filed: October 19, 2016
    Publication date: December 28, 2017
    Inventors: BHAGYASHREE GUJAR, PRASHANT AMBARDEKAR, PRAYAS GAURAV, JAMES JOSEPH STABILE