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    THREADING OF REPLICATION BASED ON DATA TYPE
    2.
    发明申请
    THREADING OF REPLICATION BASED ON DATA TYPE 有权

    公开(公告)号：US20230095358A1

    公开(公告)日：2023-03-30

    申请号：US18077534

    申请日：2022-12-08

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Deepak VERMA ,  Kesavan SHANMUGAM ,  Michael Gregory MONTWILL

    IPC: G06F3/06 ,  G06F9/38

    Abstract: Replication of data from a primary computing system to a secondary computing system. The replication is single-threaded or multi-threaded depending on one or more characteristics of the data to be replicated. As an example, the characteristics could include the type of data being replicated and/or the variability on that data. Also, the multi-threading capabilities of the primary and secondary computing systems are determined. Then, based on the identified one or more characteristics of the data, the primary computing system decides whether to perform multi-threaded replication and the multi-threading parameters of the replication based on the one or more characteristics of that data, as well as on the multi-threading capabilities of the primary and secondary computing system.

    THREADING OF REPLICATION BASED ON DATA TYPE
    3.
    发明申请
    THREADING OF REPLICATION BASED ON DATA TYPE 有权

    公开(公告)号：US20220253217A1

    公开(公告)日：2022-08-11

    申请号：US17169248

    申请日：2021-02-05

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Deepak VERMA ,  Kesavan SHANMUGAM ,  Michael Gregory MONTWILL

    IPC: G06F3/06 ,  G06F9/38

    Abstract: Replication of data from a primary computing system to a secondary computing system. The replication is single-threaded or multi-threaded depending on one or more characteristics of the data to be replicated. As an example, the characteristics could include the type of data being replicated and/or the variability on that data. Also, the multi-threading capabilities of the primary and secondary computing systems are determined. Then, based on the identified one or more characteristics of the data, the primary computing system decides whether to perform multi-threaded replication and the multi-threading parameters of the replication based on the one or more characteristics of that data, as well as on the multi-threading capabilities of the primary and secondary computing system.

    THREADING OF REPLICATION BASED ON DATA TYPE
    4.
    发明公开
    THREADING OF REPLICATION BASED ON DATA TYPE 审中-公开

    公开(公告)号：US20240201889A1

    公开(公告)日：2024-06-20

    申请号：US18588808

    申请日：2024-02-27

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Deepak VERMA ,  Kesavan SHANMUGAM ,  Michael Gregory MONTWILL

    IPC: G06F3/06 ,  G06F9/38

    CPC classification number: G06F3/065 ,  G06F3/0604 ,  G06F3/0683 ,  G06F9/3851

    Abstract: Replication of data from a primary computing system to a secondary computing system. The replication is single-threaded or multi-threaded depending on one or more characteristics of the data to be replicated. As an example, the characteristics could include the type of data being replicated and/or the variability on that data. Also, the multi-threading capabilities of the primary and secondary computing systems are determined. Then, based on the identified one or more characteristics of the data, the primary computing system decides whether to perform multi-threaded replication and the multi-threading parameters of the replication based on the one or more characteristics of that data, as well as on the multi-threading capabilities of the primary and secondary computing system.

    PROVIDING CUSTOM MACHINE-LEARNING MODELS
    5.
    发明申请
    PROVIDING CUSTOM MACHINE-LEARNING MODELS 有权

    公开(公告)号：US20230029481A1

    公开(公告)日：2023-02-02

    申请号：US17963028

    申请日：2022-10-10

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Jonathan Daniel KEECH ,  Kesavan SHANMUGAM ,  Simon CALVERT ,  Mark A. WILSON-THOMAS ,  Vivian Julia LIM

    IPC: G06N20/20 ,  G06F8/33

    Abstract: Providing custom machine learning models to client computer systems. Multiple machine learning models are accessed. Client-specific data for multiple client computer systems are also accessed. For each of at least some of the client computer systems, performing the following actions: First, using the corresponding client-specific data for the corresponding client computer system to determine which subset of the multiple machine learning models is applicable to the corresponding client computer system. The subset of the multiple machine learning models includes more than one of the multiple machine learning models. Then, aggregating the determined subset of the multiple machine learning models to generate an aggregated subset of machine learning models that is customized to the corresponding client computer system.

    DIFFERENCE VIEW MODE FOR INTEGRATED DEVELOPMENT ENVIRONMENTS
    6.
    发明申请
    DIFFERENCE VIEW MODE FOR INTEGRATED DEVELOPMENT ENVIRONMENTS 审中-公开

    公开(公告)号：US20190339948A1

    公开(公告)日：2019-11-07

    申请号：US15970612

    申请日：2018-05-03

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Ahmed Mohamed METWALLY ,  Kenneth Lawrence YOUNG ,  Kesavan SHANMUGAM

    IPC: G06F8/33 ,  G06F8/72 ,  G06F8/71 ,  G06F8/73

    Abstract: A computer device is provided that includes a display and a processor configured to execute an integrated development environment that includes code development tools, output for display on the display an editor window of the integrated development environment configured to present a code file and real-time mark-up of the code file, wherein the editor window includes a difference view mode that causes the editor window to emphasize a difference between the code file and a baseline code file. The processor is further configured to perform a function of one of the code development tools on the code file and present a result of the function in the editor window while in the difference view mode.

    PROVIDING CUSTOM MACHINE-LEARNING MODELS
    7.
    发明申请
    PROVIDING CUSTOM MACHINE-LEARNING MODELS 审中-公开

    公开(公告)号：US20200175423A1

    公开(公告)日：2020-06-04

    申请号：US16205070

    申请日：2018-11-29

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Jonathan Daniel KEECH ,  Kesavan SHANMUGAM ,  Simon CALVERT ,  Mark A. WILSON-THOMAS ,  Vivian Julia LIM

    IPC: G06N20/20 ,  G06F8/33

    Abstract: Providing custom machine learning models to client computer systems. Multiple machine learning models are accessed. Client-specific data for multiple client computer systems are also accessed. For each of at least some of the client computer systems, performing the following actions: First, using the corresponding client-specific data for the corresponding client computer system to determine which subset of the multiple machine learning models is applicable to the corresponding client computer system. The subset of the multiple machine learning models includes more than one of the multiple machine learning models. Then, aggregating the determined subset of the multiple machine learning models to generate an aggregated subset of machine learning models that is customized to the corresponding client computer system.

    ASSISTIVE, LANGUAGE-AGNOSTIC DEBUGGING WITH MULTI-COLLABORATOR CONTROL
    8.
    发明申请
    ASSISTIVE, LANGUAGE-AGNOSTIC DEBUGGING WITH MULTI-COLLABORATOR CONTROL 审中-公开

    公开(公告)号：US20190146898A1

    公开(公告)日：2019-05-16

    申请号：US15879266

    申请日：2018-01-24

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Rodrigo Andres Varas SILVA ,  Kesavan SHANMUGAM ,  Charles Eric LANTZ ,  Jonathan Preston CARTER ,  Simon CALVERT ,  Erich GAMMA ,  Andre WEINAND

    IPC: G06F11/36 ,  G06F17/30 ,  H04L29/06

    Abstract: A collaboration session is provided in which an owner computer system and a participant computer system are both members. Within this collaboration session, both the owner and the participant computer systems are provided access to a multi-file workspace's build instance. Here, the multi-file workspace and the build instance are both stored locally on the owner computer system. Further, this workspace includes multiple files of source code. As a result, the build instance is a build of that source code. Various debug commands that are directed to the build instance may be received. Some of these commands originate from the owner computer system while others originate from the participant computer system. These debug commands are then multiplexed, and the build instance is executed in accordance with the multiplexed debug commands. As a result of executing the build instance, debugging data is generated.

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