OBTAINING SOFTWARE ASSET INSIGHT BY ANALYZING COLLECTED METRICS USING ANALYTIC SERVICES
    3.
    发明申请
    OBTAINING SOFTWARE ASSET INSIGHT BY ANALYZING COLLECTED METRICS USING ANALYTIC SERVICES 有权
    通过使用分析服务分析收集的度量来获得软件资产

    公开(公告)号:US20160004848A1

    公开(公告)日:2016-01-07

    申请号:US14468669

    申请日:2014-08-26

    Abstract: A plurality of software instances deployed in a monitored environment are discovered by a software asset management tool operated by a software asset administrator who is responsible for monitoring software license compliance within the monitored environment. The software asset management tool then collects metrics associated with the plurality of software instances. The collected metrics are then provided to a first analytic service adapted to generate analytic information about the plurality of software instances. Using at least the collected metrics, the analytic service generates analytic information. The analytic information is then obtained from the analytic service. By reviewing the analytic information, the software asset administrator is able to obtain additional insight into the monitored environment that would not otherwise be available to him.

    Abstract translation: 在受监控的环境中部署的多个软件实例由软件资产管理工具发现,软件资产管理工具由负责监视受监视环境中的软件许可证合规性的软件资产管理员操作。 软件资产管理工具然后收集与多个软件实例相关联的度量。 然后将收集的指标提供给适于生成关于多个软件实例的分析信息的第一分析服务。 至少使用收集的指标,分析服务生成分析信息。 然后从分析服务中获得分析信息。 通过查看分析信息,软件资产管理员能够获得对他所不具备的监控环境的更多了解。

    Enhanceable cross-domain rules engine for unmatched registry entries filtering

    公开(公告)号:US10908888B2

    公开(公告)日:2021-02-02

    申请号:US16365259

    申请日:2019-03-26

    Abstract: Identification of unmatched registry entries may be provided by scanning a file system, discovering software, collecting first attribute values of the discovered software, and receiving a plurality of filtering rules including a method and an attribute. The attribute may comprise a software-specific condition. The method may further comprise collecting native registry entries comprising second attribute values indicated by said attributes of at least one of said rule, and comparing said first attribute values of said discovered software with related ones of said second attribute values of said collected native registry entries. Then, the native registry entries may be grouped into two groups. The first group represents matched registry entries and the second group represents unmatched registry entries. The unmatched registry entries may be identified as unequivocal entries for further software discovery. Finally, the filtering rules may be applied against said collected registry entries based on said filtering method.

    Enhanceable Cross-Domain Rules Engine For Unmatched Registry Entries Filtering

    公开(公告)号:US20190220263A1

    公开(公告)日:2019-07-18

    申请号:US16365259

    申请日:2019-03-26

    CPC classification number: G06F8/61 G06F8/70 G06F9/44505

    Abstract: Identification of unmatched registry entries may be provided by scanning a file system, discovering software, collecting first attribute values of the discovered software, and receiving a plurality of filtering rules including a method and an attribute. The attribute may comprise a software-specific condition. The method may further comprise collecting native registry entries comprising second attribute values indicated by said attributes of at least one of said rule, and comparing said first attribute values of said discovered software with related ones of said second attribute values of said collected native registry entries. Then, the native registry entries may be grouped into two groups. The first group represents matched registry entries and the second group represents unmatched registry entries. The unmatched registry entries may be identified as unequivocal entries for further software discovery. Finally, the filtering rules may be applied against said collected registry entries based on said filtering method.

    DATA WAREHOUSE SINGLE-ROW OPERATION OPTIMIZATION

    公开(公告)号:US20170147612A1

    公开(公告)日:2017-05-25

    申请号:US14945768

    申请日:2015-11-19

    CPC classification number: G06F16/283

    Abstract: An approach for optimizing single-row operations in a data warehouse. Single-row operations are determined based on receiving database operations. Extends identifiers are received based on the single-row operations. Single-row usage statistics are stored in extends lists stores where single-row usage statistics include at least one of a hit count and a last hit date. Single-row usage statistics are maintained for extends identifiers based on single-row operations. A logical sequence of the extends identifiers in extends lists stores are sorted based on single-row usage statistics and the logical sequence is maintained based on determining a further single-row operations.

    Data warehouse single-row operation optimization

    公开(公告)号:US10353924B2

    公开(公告)日:2019-07-16

    申请号:US14945768

    申请日:2015-11-19

    Abstract: An approach for optimizing single-row operations in a data warehouse. Single-row operations are determined based on receiving database operations. Extends identifiers are received based on the single-row operations. Single-row usage statistics are stored in extends lists stores where single-row usage statistics include at least one of a hit count and a last hit date. Single-row usage statistics are maintained for extends identifiers based on single-row operations. A logical sequence of the extends identifiers in extends lists stores are sorted based on single-row usage statistics and the logical sequence is maintained based on determining a further single-row operations.

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