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    Platform for continuous graph update and computation
    1.
    发明授权
    Platform for continuous graph update and computation 有权
    用于连续图更新和计算的平台

    公开(公告)号：US09589069B2

    公开(公告)日：2017-03-07

    申请号：US15003266

    申请日：2016-01-21

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Fan Yang ,  Aapo Kyrola ,  Xuetian Weng ,  Raymond Cheng ,  Ming Wu ,  Ji Hong ,  Lidong Zhou ,  Youshan Miao

    IPC: G06F17/30 ,  G06F11/14

    CPC classification number: G06F17/30958 ,  G06F11/1451 ,  G06F17/30368 ,  G06F17/30516 ,  G06F17/30578 ,  G06F2201/84

    Abstract: A continuous stream data (e.g., messages, tweets) is received by ingest nodes of a platform. The ingest nodes may analyze the data to create a transaction of graph updates, assign a sequence number to the transaction, and distribute the graph updates with the sequence number to graph nodes of the platform. The graph nodes may store graph updates from ingest nodes, and then the ingest nodes may report graph update progresses in a progress table. A snapshot may be taken based on the progress table, and then graph-mining computation may be implemented. Tolerate failures and decaying may be supported and incremental expansion may be allowed to cope with increasing update rates and computation needs.

    Abstract translation: 通过平台的摄取节点接收连续流数据（例如，消息，推文）。 摄取节点可以分析数据以创建图更新的事务，为事务分配序列号，并将具有序列号的图更新分发到平台的图形节点。 图形节点可以存储来自摄取节点的图更新，然后，摄取节点可以在进度表中报告图更新进度。 可以基于进度表进行快照，然后可以实现图形挖掘计算。 可以支持容忍故障和衰减，并且可以允许增量扩展来应对增加的更新速率和计算需求。

    Hybrid classification system
    3.
    发明授权
    Hybrid classification system 有权

    公开(公告)号：US10885593B2

    公开(公告)日：2021-01-05

    申请号：US14735022

    申请日：2015-06-09

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Fan Yang ,  Craig Martell ,  Dan Shacham

    IPC: G06Q50/00 ,  G06N20/00 ,  G06Q30/02

    Abstract: Hybrid classification system and method are described. The method commences when an input detector detects a raw input string that represents a value of a category in a member profile maintained by the on-line social network. The machine learning classifier derives a standardized value corresponding to the raw input string. The trigger module provides the raw input string to the correcting filter. The correcting filter determines a corrected standardized value corresponding to the raw input string based on the raw input string and a corrective rule. The label module then identifies the member profile as associate with the corrected standardized value.

    DYNAMIC ALLOCATION OF COMPUTING RESOURCES
    4.
    发明申请
    DYNAMIC ALLOCATION OF COMPUTING RESOURCES 有权

    公开(公告)号：US20220229701A1

    公开(公告)日：2022-07-21

    申请号：US17609700

    申请日：2020-05-04

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Quanlu Zhang ,  Lidong Zhou ,  Mao Yang ,  Fan Yang ,  Hanyu Zhao ,  Zhenhua Han

    IPC: G06F9/50

    Abstract: According to implementations of the subject matter, a solution of dynamic management of computing resource is provided. In the solution, a first request for using a target number of computing resource in a set of computing resources is received, wherein at least one free computing resource of the set of computing resources is organized into at least one free resource group. When it is determined that a free matching resource group is absent from the first resource group and a free redundant resource group is present in at least one free resource group, the target number of computing resources are allocated for the first request by splitting the free redundant resource group, wherein the number of resources in the free redundant resource group is greater than the target number. Therefore, the dynamic allocation of computing resources is enabled.

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