Patents by Inventor Ricardo G Bianchini

Ricardo G Bianchini 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: 11567548
    Abstract: The discussion relates to disaggregated computing. One example can monitor multiple two-phase liquid immersion tanks. Individual two-phase liquid immersion tanks can contain multiple components of a single type of component type. The example can receive requests for virtual machines and allocate sets of components from individual two-phase liquid immersion tanks to work together to support the virtual machines requests.
    Type: Grant
    Filed: June 14, 2022
    Date of Patent: January 31, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Husam A. Alissa, Ioannis Manousakis, Christian L. Belady, Marcus Felipe Fontoura, Ricardo G. Bianchini, Winston Allen Saunders, Mark Edward Shaw
  • Publication number: 20220308643
    Abstract: The discussion relates to disaggregated computing. One example can monitor multiple two-phase liquid immersion tanks. Individual two-phase liquid immersion tanks can contain multiple components of a single type of component type. The example can receive requests for virtual machines and allocate sets of components from individual two-phase liquid immersion tanks to work together to support the virtual machines requests.
    Type: Application
    Filed: June 14, 2022
    Publication date: September 29, 2022
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Husam A. Alissa, Ioannis Manousakis, Christian L. Belady, Marcus Felipe Fontoura, Ricardo G. Bianchini, Winston Allen Saunders, Mark Edward Shaw
  • Patent number: 11403141
    Abstract: Systems and methods related to harvesting of the unused resources in a distributed computing system are described. An example method, in a system including a host server, having a first instruction set architecture (ISA), and an interface card, having a second ISA is provided. The method includes designating at least one type of resource, associated with the host server for harvesting by compute entities configured for execution using the processor having the second ISA, where the host server is configured to execute compute entities requiring execution by the processor having the first ISA. The method further includes in response to a request for accessing the at least one type of resource by a compute entity, executing on the processor having the second ISA, automatically allowing the compute entity to access the at least one type of resource associated with the host server.
    Type: Grant
    Filed: May 4, 2020
    Date of Patent: August 2, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Stanko Novakovic, Íñigo Goiri Presa, Sameh Elnikety, Ricardo G. Bianchini
  • Patent number: 11392184
    Abstract: The discussion relates to disaggregated computing. One example can monitor multiple two-phase liquid immersion tanks. Individual two-phase liquid immersion tanks can contain multiple components of a single type of component type. The example can receive requests for virtual machines and allocate sets of components from individual two-phase liquid immersion tanks to work together to support the virtual machines requests.
    Type: Grant
    Filed: September 25, 2020
    Date of Patent: July 19, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Husam A. Alissa, Ioannis Manousakis, Christian L. Belady, Marcus Felipe Fontoura, Ricardo G. Bianchini, Winston Allen Saunders, Mark Edward Shaw
  • Publication number: 20220114022
    Abstract: Systems and methods for machine learning-based power capping and virtual machine placement in cloud platforms are disclosed. A method includes applying a machine learning model to predict whether a request for deployment of a virtual machine corresponds to deployment of a user-facing (UF) virtual machine or a non-user-facing (NUF) virtual machine. The method further includes sorting a list of candidate servers based on both a chassis score and a server score for each server to determine a ranked list of the candidate servers, where the server score depends at least on whether the request for the deployment of the virtual machine is determined to be a request for a deployment of a UF virtual machine or a request for a deployment of an NUF virtual machine. The method further includes deploying the virtual machine to a server with highest rank among the ranked list of the candidate servers.
    Type: Application
    Filed: December 21, 2021
    Publication date: April 14, 2022
    Inventors: Ioannis Manousakis, Marcus F. Fontoura, Alok Gautam Kumbhare, Ricardo G. Bianchini, Nithish Mahalingam, Reza Azimi
  • Publication number: 20220100241
    Abstract: The discussion relates to disaggregated computing. One example can monitor multiple two-phase liquid immersion tanks. Individual two-phase liquid immersion tanks can contain multiple components of a single type of component type. The example can receive requests for virtual machines and allocate sets of components from individual two-phase liquid immersion tanks to work together to support the virtual machines requests.
    Type: Application
    Filed: September 25, 2020
    Publication date: March 31, 2022
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Husam A. Alissa, Ioannis Manousakis, Christian L. Belady, Marcus Felipe Fontoura, Ricardo G. Bianchini, Winston Allen Saunders, Mark Edward Shaw
  • Patent number: 11237868
    Abstract: Systems and methods for machine learning-based power capping and virtual machine placement in cloud platforms are disclosed. A method includes applying a machine learning model to predict whether a request for deployment of a virtual machine corresponds to deployment of a user-facing (UF) virtual machine or a non-user-facing (NUF) virtual machine. The method further includes sorting a list of candidate servers based on both a chassis score and a server score for each server to determine a ranked list of the candidate servers, where the server score depends at least on whether the request for the deployment of the virtual machine is determined to be a request for a deployment of a UF virtual machine or a request for a deployment of an NUF virtual machine. The method further includes deploying the virtual machine to a server with highest rank among the ranked list of the candidate servers.
    Type: Grant
    Filed: October 8, 2019
    Date of Patent: February 1, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ioannis Manousakis, Marcus F. Fontoura, Alok Gautam Kumbhare, Ricardo G. Bianchini, Nithish Mahalingam, Reza Azimi
  • Publication number: 20210342188
    Abstract: Systems and methods related to harvesting of the unused resources in a distributed computing system are described. An example method, in a system including a host server, having a first instruction set architecture (ISA), and an interface card, having a second ISA is provided. The method includes designating at least one type of resource, associated with the host server for harvesting by compute entities configured for execution using the processor having the second ISA, where the host server is configured to execute compute entities requiring execution by the processor having the first ISA. The method further includes in response to a request for accessing the at least one type of resource by a compute entity, executing on the processor having the second ISA, automatically allowing the compute entity to access the at least one type of resource associated with the host server.
    Type: Application
    Filed: May 4, 2020
    Publication date: November 4, 2021
    Inventors: Stanko NOVAKOVIC, Íñigo GOIRI PRESA, Sameh ELNIKETY, Ricardo G. BIANCHINI
  • Publication number: 20210224676
    Abstract: Aspects of the present disclosure relate to incident routing in a cloud environment. In an example, cloud provider teams utilize a scout framework to build a team-specific scout based on that team's expertise. In examples, an incident is detected and a description is sent to each team-specific scout. Each team-specific scout uses the incident description and the scout specifications provided by the team to identify, access, and process monitoring data from cloud components relevant to the incident. Each team-specific scout utilizes one or more machine learning models to evaluate the monitoring data and generate an incident-classification prediction about whether the team is responsible for resolving the incident. In examples, a scout master receives predictions from each of the team-specific scouts and compares the predictions to determine to which team an incident should be routed.
    Type: Application
    Filed: January 17, 2020
    Publication date: July 22, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Behnaz ARZANI, Jiaqi GAO, Ricardo G. BIANCHINI, Felipe VIEIRA FRUJERI, Xiaohang WANG, Henry LEE, David A. MALTZ
  • Publication number: 20210103458
    Abstract: Systems and methods for machine learning-based power capping and virtual machine placement in cloud platforms are disclosed. A method includes applying a machine learning model to predict whether a request for deployment of a virtual machine corresponds to deployment of a user-facing (UF) virtual machine or a non-user-facing (NUF) virtual machine. The method further includes sorting a list of candidate servers based on both a chassis score and a server score for each server to determine a ranked list of the candidate servers, where the server score depends at least on whether the request for the deployment of the virtual machine is determined to be a request for a deployment of a UF virtual machine or a request for a deployment of an NUF virtual machine. The method further includes deploying the virtual machine to a server with highest rank among the ranked list of the candidate servers.
    Type: Application
    Filed: October 8, 2019
    Publication date: April 8, 2021
    Inventors: Ioannis Manousakis, Marcus F. Fontoura, Alok Gautam Kumbhare, Ricardo G. Bianchini, Nithish Mahalingam, Reza Azimi
  • Patent number: 8019728
    Abstract: Data is stored in a distributed data storage system comprising a plurality of disks. When a disk fails, system reliability is restored by executing a set of reconstructions according to a schedule. System reliability is characterized by a dynamic Normalcy Deviation Score. The schedule for executing the set of reconstructions is determined by a minimum intersection policy. A set of reconstructions is received and divided into a set of queues rank-ordered by redundancy level ranging from a lowest redundancy level to a highest redundancy level. For reconstructions in each queue, an intersection matrix is calculated. Diskscores for each disk are calculated. The schedule for the set of reconstructions is based at least in part on the intersection matrices, the Normal Deviation Scores, and the diskscores.
    Type: Grant
    Filed: March 4, 2009
    Date of Patent: September 13, 2011
    Assignee: NEC Laboratories America, Inc.
    Inventors: Rekha N Bachwani, Leszek R Gryz, Ricardo G Bianchini, Cezary Dubnicki
  • Publication number: 20090265360
    Abstract: Data is stored in a distributed data storage system comprising a plurality of disks. When a disk fails, system reliability is restored by executing a set of reconstructions according to a schedule. System reliability is characterized by a dynamic Normalcy Deviation Score. The schedule for executing the set of reconstructions is determined by a minimum intersection policy. A set of reconstructions is received and divided into a set of queues rank-ordered by redundancy level ranging from a lowest redundancy level to a highest redundancy level. For reconstructions in each queue, an intersection matrix is calculated. Diskscores for each disk are calculated. The schedule for the set of reconstructions is based at least in part on the intersection matrices, the Normal Deviation Scores, and the diskscores.
    Type: Application
    Filed: March 4, 2009
    Publication date: October 22, 2009
    Applicant: NEC LABORATORIES AMERICA, INC.
    Inventors: Rekha N. Bachwani, Leszek R. Gryz, Ricardo G. Bianchini, Cezary Dubnicki