Patents by Inventor Paramvir Bahl

Paramvir Bahl 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).

  • Publication number: 20220377650
    Abstract: In a 5G network, a profiler component of a network slice controller is arranged to dynamically observe behaviors of pre-defined types of network slices when handling current traffic. The profiler employs the observed behaviors to generate profiles of the pre-defined slice types in terms of throughput, reliability, or other suitable metrics. In response to a request from an application for admission to the 5G network for which an ID of an appropriate pre-defined network slice type is unknown, the application request and traffic is handled on a slice which is temporarily utilized while the profiler dynamically observes application behaviors to generate an application profile. The profiler identifies a pre-defined slice type having a profile that is the closest match to the generated application profile. The application may then be moved from the temporary slice to a slice of the identified pre-defined type so that optimal slice characteristics are provided for the application's traffic.
    Type: Application
    Filed: May 21, 2021
    Publication date: November 24, 2022
    Inventors: Manikanta KOTARU, Landon Prentice COX, Paramvir BAHL
  • Publication number: 20220377563
    Abstract: Described are examples for providing a distributed fault-tolerant state store for a virtualized base station. In an aspect, a first server at a datacenter may perform physical layer processing for at least one virtualized base station. While performing the physical layer processing, the first server may generate inter-slot physical layer state data during a first slot. The inter-slot physical layer state data is to be used in a subsequent slot. The first server may periodically transmit the inter-slot physical layer state data to one or more other servers of the plurality of servers within the datacenter. One of the other servers may take over the physical layer processing for the at least one virtualized base station based on the inter-slot physical layer state data, for example, in response to a fault at the first server or a migration of the at least one virtualized base station.
    Type: Application
    Filed: May 18, 2021
    Publication date: November 24, 2022
    Inventors: Anuj KALIA, Ilias MARINOS, Daehyeok KIM, Paramvir BAHL
  • Publication number: 20220360624
    Abstract: Described are examples for deploying workloads in a cloud-computing environment. In an aspect, based on a desired number of workloads of a process to be executed in a cloud-computing environment and based on one or more failure probabilities, an actual number of workloads of the process to execute in the cloud-computing environment to provide a level of service can be determined and deployed. In another aspect, a standby workload can be executed as a second instance of the process without at least a portion of the separate configuration used by the multiple workloads, and based on detecting termination of one of multiple workloads, the standby workload can be configured to execute based on the separate configuration of the separate instance of the process corresponding to the one of the multiple workloads.
    Type: Application
    Filed: May 10, 2021
    Publication date: November 10, 2022
    Inventors: Sanjeev MEHROTRA, Paramvir BAHL, Anuj KALIA
  • Patent number: 11477275
    Abstract: Described are examples for deploying workloads in a cloud-computing environment. In an aspect, based on a desired number of workloads of a process to be executed in a cloud-computing environment and based on one or more failure probabilities, an actual number of workloads of the process to execute in the cloud-computing environment to provide a level of service can be determined and deployed. In another aspect, a standby workload can be executed as a second instance of the process without at least a portion of the separate configuration used by the multiple workloads, and based on detecting termination of one of multiple workloads, the standby workload can be configured to execute based on the separate configuration of the separate instance of the process corresponding to the one of the multiple workloads.
    Type: Grant
    Filed: May 10, 2021
    Date of Patent: October 18, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Sanjeev Mehrotra, Paramvir Bahl, Anuj Kalia
  • Patent number: 11461591
    Abstract: Methods and computing devices for allocating computing resources and selecting hyperparameter configurations during continuous retraining and operation of a machine learning model. In one example, a computing device configured to be located at a network edge between a local network and a cloud service includes a processor and a memory storing instructions executable by the processor to operate a machine learning model. During a retraining window, a selected portion of a video stream is selected for labeling. At least a portion of a labeled retraining data set is selected for profiling a superset of hyperparameter configurations. For each configuration of the superset of hyperparameter configurations, a profiling test is performed. The profiling test is terminated, and a change in inference accuracy that resulted from the profiling test is extrapolated. Based upon the extrapolated inference accuracies, a set of selected hyperparameter configurations is output.
    Type: Grant
    Filed: December 16, 2020
    Date of Patent: October 4, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ganesh Ananthanarayanan, Yuanchao Shu, Tsu-wang Hsieh, Nikolaos Karianakis, Paramvir Bahl, Romil Bhardwaj
  • Publication number: 20220311526
    Abstract: The devices and methods leverage harmonics to resolve, separate, and identify devices. The devices and methods use the harmonic patterns associated with a frequency modulating (FM) signal to discern and extract information from the FM signal using correlation learning in a crowded spectrum space where the nodes are transmitting simultaneously on multiple channels. The methods and devices leverage harmonics to resolve, separate, and/or identify wireless communication devices.
    Type: Application
    Filed: March 26, 2021
    Publication date: September 29, 2022
    Inventors: Vaishnavi NATTAR RANGANATHAN, Jonathan Bernard LESTER, Jingxian WANG, Paramvir BAHL
  • Publication number: 20220278921
    Abstract: Systems and methods for routing packet data for transmission via a plurality of communication links are described. A method may include dividing a usage cycle for the plurality of communication links into a plurality of timeslots. Packet data traffic demands for the packet data for transmission via the plurality of communication links may be received. Based on a mixed integer linear programming model, an allocation of the packet data traffic demands to the plurality of communication links during the usage cycle may be determined using binary constraints of the mixed integer linear programming model. The binary constraints may prioritize respective subsets of the plurality of timeslots for at least some of the plurality of communication links. For each of the plurality of timeslots, an allocation of the packet data traffic demands to each of the plurality of communication links may be determined using the mixed integer linear programming model.
    Type: Application
    Filed: May 14, 2021
    Publication date: September 1, 2022
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Rachee SINGH, Sharad AGARWAL, Matt CALDER, Paramvir BAHL
  • Publication number: 20220188569
    Abstract: Examples are disclosed that relate to methods and computing devices for allocating computing resources and selecting hyperparameter configurations during continuous retraining and operation of a machine learning model. In one example, a computing device configured to be located at a network edge between a local network and a cloud service comprises a processor and a memory storing instructions executable by the processor to operate a machine learning model. During a retraining window, a selected portion of a video stream is selected for labeling. At least a portion of a labeled retraining data set is selected for profiling a superset of hyperparameter configurations. For each configuration of the superset of hyperparameter configurations, a profiling test is performed. The profiling test is terminated, and a change in inference accuracy that resulted from the profiling test is extrapolated. Based upon the extrapolated inference accuracies, a set of selected hyperparameter configurations is output.
    Type: Application
    Filed: December 16, 2020
    Publication date: June 16, 2022
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Ganesh ANANTHANARAYANAN, Yuanchao SHU, Tsu-wang HSIEH, Nikolaos KARIANAKIS, Paramvir BAHL, Romil BHARDWAJ
  • Patent number: 11354902
    Abstract: A method can include classifying, using a compressed and specialized convolutional neural network (CNN), an object of a video frame into classes, clustering the object based on a distance of a feature vector of the object to a feature vector of a centroid object of the cluster, storing top-k classes, a centroid identification, and a cluster identification, in response to receiving a query for objects of class X from a specific video stream, retrieving image data for each centroid of each cluster that includes the class X as one of the top-k classes, classifying, using a ground truth CNN (GT-CNN), the retrieved image data for each centroid, and for each centroid determined to be classified as a member of the class X providing image data for each object in each cluster associated with the centroid.
    Type: Grant
    Filed: May 15, 2020
    Date of Patent: June 7, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ganesh Ananthanarayanan, Paramvir Bahl, Peter Bodik, Tsuwang Hsieh, Matthai Philipose
  • Patent number: 11272423
    Abstract: A multi-hop relay network comprises a set of data nodes arranged in a relay topology, wherein the set of data nodes communicate with one another via a data plane comprising a set of high frequency data links, such as mmWave links. An edge node communicates with one or more of the set of data nodes via the data plane and communicates with the set of data nodes over a control plane comprising a set of low frequency wireless links, such as a Wi-Fi network. The edge node determines a path utilization for the set of high frequency wireless links. When one of the high frequency wireless links is over-utilized, the edge node communicates, to a data node in the set of data nodes via the control plane, a command to change the relay topology. The edge node also determines whether the relay topology is operating at a target accuracy. When it is not, the edge node adjusts a data analytics parameter for a node to improve the overall accuracy of the network.
    Type: Grant
    Filed: April 29, 2020
    Date of Patent: March 8, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ganesh Ananthanarayanan, Yuanchao Shu, Paramvir Bahl, Longfei Shangguan, Zhuqi Li
  • Publication number: 20210345222
    Abstract: A multi-hop relay network comprises a set of data nodes arranged in a relay topology, wherein the set of data nodes communicate with one another via a data plane comprising a set of high frequency data links, such as mmWave links. An edge node communicates with one or more of the set of data nodes via the data plane and communicates with the set of data nodes over a control plane comprising a set of low frequency wireless links, such as a Wi-Fi network. The edge node determines a path utilization for the set of high frequency wireless links. When one of the high frequency wireless links is over-utilized, the edge node communicates, to a data node in the set of data nodes via the control plane, a command to change the relay topology. The edge node also determines whether the relay topology is operating at a target accuracy. When it is not, the edge node adjusts a data analytics parameter for a node to improve the overall accuracy of the network.
    Type: Application
    Filed: April 29, 2020
    Publication date: November 4, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Ganesh ANANTHANARAYANAN, Yuanchao SHU, Paramvir BAHL, Longfei SHANGGUAN, Zhuqi LI
  • Patent number: 11140422
    Abstract: A thin-cloud system for distributing content, for example, live streaming video content, from a broadcaster to a viewer is provided herein. The computing devices of the broadcaster can provide the multi-bitrate transcoding, of the two or more bitstreams, sent to a file server, which alleviates the need for the file server to encode the streams for a viewer. These multiple streams are received by a file server for provision to one or more viewers. The viewers can receive the streams at one of the two or more bitrates. If the viewer receives the content at a lower bitrate, the viewers can employ a machine learning (ML) co-processor that can operate as an accelerator to improve the inbound content, if that content is provided at a lower bitrate, and thus, a lower resolution. The file server can train and provide the ML models used for the acceleration.
    Type: Grant
    Filed: September 25, 2019
    Date of Patent: October 5, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Landon Prentice Cox, Paramvir Bahl
  • Patent number: 11082731
    Abstract: Generally discussed herein are devices, systems, and methods for privacy-preserving video. A method can include identifying which classes of objects are present in video data, for each class of the classes identified in the video data, generating respective video streams that include objects of the class and exclude objects not of the class, and providing each of the respective video streams to a content distribution network.
    Type: Grant
    Filed: January 22, 2020
    Date of Patent: August 3, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Landon Prentice Cox, Paramvir Bahl, Sandeep Maurice Dsouza, Lixiang Ao
  • Publication number: 20210227271
    Abstract: Generally discussed herein are devices, systems, and methods for privacy-preserving video. A method can include identifying which classes of objects are present in video data, for each class of the classes identified in the video data, generating respective video streams that include objects of the class and exclude objects not of the class, and providing each of the respective video streams to a content distribution network.
    Type: Application
    Filed: January 22, 2020
    Publication date: July 22, 2021
    Inventors: Landon Prentice Cox, Paramvir Bahl, Sandeep Maurice Dsouza, Lixiang Ao
  • Patent number: 11032345
    Abstract: Methods and devices for encoding and decoding data streams are disclosed. In some aspects, the data streams are multimedia data streams. One method disclosed includes obtaining, by a client device, a first multimedia data stream and a second multimedia data stream, the second multimedia data stream being a lower fidelity version of the first multimedia data stream, generating, by the client device, a third multimedia data stream based on differences between the first and second multimedia data streams, compressing, by the client device, the second multimedia data stream to generate a first compressed multimedia data stream, compressing, by the client device, the third multimedia data stream to generate a second compressed multimedia data stream; and transmitting, by the client device, the first and second compressed multimedia data steams to the server.
    Type: Grant
    Filed: May 10, 2018
    Date of Patent: June 8, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Eduardo A Cuervo Laffaye, Alastair Wolman, Stefan Saroiu, Sharad Agarwal, Paramvir Bahl, Landon Cox
  • Publication number: 20210092462
    Abstract: A thin-cloud system for distributing content, for example, live streaming video content, from a broadcaster to a viewer is provided herein. The computing devices of the broadcaster can provide the multi-bitrate transcoding, of the two or more bitstreams, sent to a file server, which alleviates the need for the file server to encode the streams for a viewer. These multiple streams are received by a file server for provision to one or more viewers. The viewers can receive the streams at one of the two or more bitrates. If the viewer receives the content at a lower bitrate, the viewers can employ a machine learning (ML) co-processor that can operate as an accelerator to improve the inbound content, if that content is provided at a lower bitrate, and thus, a lower resolution. The file server can train and provide the ML models used for the acceleration.
    Type: Application
    Filed: September 25, 2019
    Publication date: March 25, 2021
    Inventors: Landon Prentice COX, Paramvir BAHL
  • Patent number: 10875525
    Abstract: Techniques for ability enhancement are described. In some embodiments, devices and systems located in a transportation network share threat information with one another, in order to enhance a user's ability to operate or function in a transportation-related context. In one embodiment, a process in a vehicle receives threat information from a remote device, the threat information based on information about objects or conditions proximate to the remote device. The process then determines that the threat information is relevant to the safe operation of the vehicle. Then, the process modifies operation of the vehicle based on the threat information, such as by presenting a message to the operator of the vehicle and/or controlling the vehicle itself.
    Type: Grant
    Filed: August 5, 2015
    Date of Patent: December 29, 2020
    Assignee: Microsoft Technology Licensing LLC
    Inventors: Richard T. Lord, Robert W. Lord, Nathan P. Myhrvold, Clarence T. Tegreene, Roderick A. Hyde, Lowell L. Wood, Muriel Y. Ishikawa, Victoria Y. H. Wood, Charles Whitmer, Paramvir Bahl, Douglas C. Burger, Ranveer Chandra, William H. Gates, III, Pablos Holman, Jordin T. Kare, Craig J. Mundie, Tim Paek, Desney S. Tan, Lin Zhong, Matthew G. Dyor
  • Publication number: 20200387539
    Abstract: This document relates to performing live video stream analytics on edge devices. One example determines resources available to the system, and a video analytics configuration is selected that distributes work between edge devices and cloud devices in a cascading manner, where edge device processing is prioritized over cloud processing in order to conserve resources. This example can dynamically modify the allocation of processing depending on changing conditions, such as network availability.
    Type: Application
    Filed: June 4, 2019
    Publication date: December 10, 2020
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Ganesh ANANTHANARAYANAN, Yuanchao SHU, Shadi NOGHABI, Paramvir BAHL, Landon COX, Alexander CROWN
  • Publication number: 20200334465
    Abstract: A method can include classifying, using a compressed and specialized convolutional neural network (CNN), an object of a video frame into classes, clustering the object based on a distance of a feature vector of the object to a feature vector of a centroid object of the cluster, storing top-k classes, a centroid identification, and a cluster identification, in response to receiving a query for objects of class X from a specific video stream, retrieving image data for each centroid of each cluster that includes the class X as one of the top-k classes, classifying, using a ground truth CNN (GT-CNN), the retrieved image data for each centroid, and for each centroid determined to be classified as a member of the class X providing image data for each object in each cluster associated with the centroid.
    Type: Application
    Filed: May 15, 2020
    Publication date: October 22, 2020
    Inventors: Ganesh Ananthanarayanan, Paramvir Bahl, Peter Bodik, Tsuwang Hsieh, Matthai Philipose
  • Publication number: 20200195835
    Abstract: A system and method are disclosed for providing a real-time wireless video surveillance system. The video surveillance system leverages edge computing to enable wireless video surveillance distributing video processing between edges of the network and the cloud to reduce the amount of video that is uploaded to the cloud for analysis.
    Type: Application
    Filed: February 21, 2020
    Publication date: June 18, 2020
    Inventors: Aakanksha Chowdhery, Paramvir Bahl, Tan Zhang