PROPAGATING USER IDENTITIES IN A SECURE FEDERATED SEARCH SYSTEM
    14.
    发明申请
    PROPAGATING USER IDENTITIES IN A SECURE FEDERATED SEARCH SYSTEM 有权
    在安全的联合搜索系统中传播用户标识

    公开(公告)号:US20140046978A1

    公开(公告)日:2014-02-13

    申请号:US14060635

    申请日:2013-10-23

    CPC classification number: G06F17/30477 G06F17/30427 H04L63/0815

    Abstract: A method of implementing a universal framework for searching across multiple search platforms in a secure federated search. The method includes receiving, at a federated broker, a query from an authorized user, obtaining a plurality of user credentials associated with the authenticated user, wherein each of the plurality of user credentials are used to access at least one source of a plurality of sources, determining a required query format for each of the plurality of sources, translating the query into a plurality of queries formatted according to the required query format of each of the plurality of sources, propagating the plurality of translated queries and the plurality of user credentials to each corresponding source to appear to each corresponding source to be the authorized user, receiving, at the federated broker, results of each of the plurality of queries from each source of the plurality of sources, and consolidating the results of each of the plurality of queries to be displayed in a uniform manner.

    Abstract translation: 一种在安全联合搜索中实现跨多个搜索平台搜索的通用框架的方法。 该方法包括在联合经纪人处接收来自授权用户的查询,获得与经认证的用户相关联的多个用户凭证,其中多个用户证书中的每一个用于访问多个源的至少一个源 确定所述多个源中的每个源的所需查询格式,将所述查询转换成根据所述多个源中的每一个的所需查询格式格式化的多个查询,将所述多个翻译查询和所述多个用户凭证传播到 每个对应的源将每个对应的源显示为授权用户,在联合代理处接收来自多个源的每个源的多个查询中的每一个的结果,并且合并多个查询中的每一个的结果 以均匀的方式显示。

    Entity Snapshots Partitioning And Combining
    15.
    发明公开

    公开(公告)号:US20240119026A1

    公开(公告)日:2024-04-11

    申请号:US18542267

    申请日:2023-12-15

    CPC classification number: G06F16/128 G06F16/9035 G06F16/9038

    Abstract: Embodiments relate to improving efficiency of data analytics performed on sets of entity data in which different entity properties having very different update frequencies. Time-based analytical queries track the entity states at each moment within a given time window. Analytical queries are executed over a massive number of entity states while using a reasonable memory footprint. The technique partitions the entity properties into partial historical snapshots of data and combines the partial snapshots on demand only as needed to execute analytical queries over business entities. A complete entity state having values for all entity properties is not required to execute most queries. Only partial snapshots including values referenced by the query need to be combined to satisfy the query. Using partial snapshots minimizes data replication, and the snapshots can be efficiently combined into entity states sufficient for query execution.

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