Techniques for application tuning
    1.
    发明授权
    Techniques for application tuning 有权
    技术应用调优

    公开(公告)号:US08954309B2

    公开(公告)日:2015-02-10

    申请号:US13149663

    申请日:2011-05-31

    CPC classification number: G06F11/3051 G06F11/302 G06F11/3447 G06F11/3457

    Abstract: Techniques for tuning systems generate configurations that are used to test the systems to determine optimal configurations for the systems. The configurations for a system are generated to allow for effective testing of the system while remaining within budgetary and/or resource constraints. The configurations may be selected to satisfy one or more conditions on their distributions to ensure that a satisfactory set of configurations are tested. Machine learning techniques may be used to create models of systems and those models can be used to determine optimal configurations.

    Abstract translation: 调整系统的技术生成用于测试系统以确定系统的最佳配置的配置。 生成系统的配置以允许在保持在预算和/或资源限制内的系统的有效测试。 可以选择配置以满足其分布上的一个或多个条件,以确保测试一组令人满意的配置。 机器学习技术可用于创建系统模型,这些模型可用于确定最佳配置。

    Defense against search engine tracking
    2.
    发明授权
    Defense against search engine tracking 有权
    防范搜索引擎跟踪

    公开(公告)号:US09081953B2

    公开(公告)日:2015-07-14

    申请号:US13551553

    申请日:2012-07-17

    Abstract: Techniques for enhancing electronic privacy utilize noise to prevent third parties from determining certain information based on search queries. Users submit search queries as part of their normal activities. For a user, the search queries submitted and information regarding search results used to generate additional search queries on different, but related topics. The generated additional search queries are submitted automatically on behalf of the user at a sufficient frequency to prevent high accuracy data analysis on search queries.

    Abstract translation: 用于增强电子隐私的技术利用噪声来防止第三方基于搜索查询确定某些信息。 用户提交搜索查询作为其正常活动的一部分。 对于用户,提交的搜索查询和关于搜索结果的信息用于在不同但相关的主题上生成其他搜索查询。 生成的附加搜索查询以足够的频率代表用户自动提交,以防止对搜索查询的高精度数据分析。

    DEFENSE AGAINST SEARCH ENGINE TRACKING
    3.
    发明申请
    DEFENSE AGAINST SEARCH ENGINE TRACKING 有权
    防止搜索引擎追踪

    公开(公告)号:US20140026221A1

    公开(公告)日:2014-01-23

    申请号:US13551553

    申请日:2012-07-17

    Abstract: Techniques for enhancing electronic privacy utilize noise to prevent third parties from determining certain information based on search queries. Users submit search queries as part of their normal activities. For a user, the search queries submitted and information regarding search results used to generate additional search queries on different, but related topics. The generated additional search queries are submitted automatically on behalf of the user at a sufficient frequency to prevent high accuracy data analysis on search queries.

    Abstract translation: 用于增强电子隐私的技术利用噪声来防止第三方基于搜索查询确定某些信息。 用户提交搜索查询作为其正常活动的一部分。 对于用户,提交的搜索查询和关于搜索结果的信息用于在不同但相关的主题上生成其他搜索查询。 生成的附加搜索查询以足够的频率代表用户自动提交,以防止对搜索查询的高精度数据分析。

    Heuristic caching to personalize applications
    4.
    发明授权
    Heuristic caching to personalize applications 有权
    启发式缓存来个性化应用程序

    公开(公告)号:US09348936B2

    公开(公告)日:2016-05-24

    申请号:US13558292

    申请日:2012-07-25

    CPC classification number: G06F17/30902 G06F3/0481 G06F3/04847 H04L67/2842

    Abstract: Heuristic caching techniques are used to improve application usability within the constraints of computing resources. A user's behavior in connection with an application is recorded and used to intelligently determine which transitions of a user interface of the application to cache. In addition, the user may have one or more characteristics. Such characteristics may also be used to identify other users so that the other users' behavior in connection with the application can be used for intelligently determining which transitions of the user interface to cache.

    Abstract translation: 启发式缓存技术用于在计算资源的限制内提高应用程序的可用性。 记录用户与应用程序相关的行为,并用于智能地确定应用程序的用户界面的哪些转换要缓存。 此外,用户可以具有一个或多个特征。 这样的特征也可以用于识别其他用户,使得其他用户与应用相关联的行为可以用于智能地确定用户界面的哪个转换以缓存。

    Application configuration generation
    5.
    发明授权
    Application configuration generation 有权
    应用程序配置生成

    公开(公告)号:US08898096B2

    公开(公告)日:2014-11-25

    申请号:US13149701

    申请日:2011-05-31

    CPC classification number: G06F11/3688 G06F11/2247

    Abstract: Techniques for tuning systems generate configurations that are used to test the systems to determine optimal configurations for the systems. The configurations for a system are generated to allow for effective testing of the system while remaining within budgetary and/or resource constraints. The configurations may be selected to satisfy one or more conditions on their distributions to ensure that a satisfactory set of configurations are tested. Machine learning techniques may be used to create models of systems and those models can be used to determine optimal configurations.

    Abstract translation: 调整系统的技术生成用于测试系统以确定系统的最佳配置的配置。 生成系统的配置以允许在保持在预算和/或资源限制内的系统的有效测试。 可以选择配置以满足其分布上的一个或多个条件,以确保测试一组令人满意的配置。 机器学习技术可用于创建系统模型,这些模型可用于确定最佳配置。

    HEURISTIC CACHING TO PERSONALIZE APPLICATIONS
    6.
    发明申请
    HEURISTIC CACHING TO PERSONALIZE APPLICATIONS 有权
    HEURISTIC CACHING TO个性化应用

    公开(公告)号:US20140033094A1

    公开(公告)日:2014-01-30

    申请号:US13558292

    申请日:2012-07-25

    CPC classification number: G06F17/30902 G06F3/0481 G06F3/04847 H04L67/2842

    Abstract: Heuristic caching techniques are used to improve application usability within the constraints of computing resources. A user's behavior in connection with an application is recorded and used to intelligently determine which transitions of a user interface of the application to cache. In addition, the user may have one or more characteristics. Such characteristics may also be used to identify other users so that the other users' behavior in connection with the application can be used for intelligently determining which transitions of the user interface to cache.

    Abstract translation: 启发式缓存技术用于在计算资源的限制内提高应用程序的可用性。 记录用户与应用程序相关的行为,并用于智能地确定应用程序的用户界面的哪些转换要缓存。 此外,用户可以具有一个或多个特征。 这样的特征也可以用于识别其他用户,使得其他用户与应用相关联的行为可以用于智能地确定用户界面的哪个转换以缓存。

    TECHNIQUES FOR APPLICATION TUNING
    7.
    发明申请
    TECHNIQUES FOR APPLICATION TUNING 有权
    应用调试技术

    公开(公告)号:US20120310618A1

    公开(公告)日:2012-12-06

    申请号:US13149663

    申请日:2011-05-31

    CPC classification number: G06F11/3051 G06F11/302 G06F11/3447 G06F11/3457

    Abstract: Techniques for tuning systems generate configurations that are used to test the systems to determine optimal configurations for the systems. The configurations for a system are generated to allow for effective testing of the system while remaining within budgetary and/or resource constraints. The configurations may be selected to satisfy one or more conditions on their distributions to ensure that a satisfactory set of configurations are tested. Machine learning techniques may be used to create models of systems and those models can be used to determine optimal configurations.

    Abstract translation: 调整系统的技术生成用于测试系统以确定系统的最佳配置的配置。 生成系统的配置以允许在保持在预算和/或资源限制内的系统的有效测试。 可以选择配置以满足其分布上的一个或多个条件,以确保测试一组令人满意的配置。 机器学习技术可用于创建系统模型,这些模型可用于确定最佳配置。

    APPLICATION CONFIGURATION GENERATION
    8.
    发明申请
    APPLICATION CONFIGURATION GENERATION 有权
    应用配置生成

    公开(公告)号:US20120310870A1

    公开(公告)日:2012-12-06

    申请号:US13149701

    申请日:2011-05-31

    CPC classification number: G06F11/3688 G06F11/2247

    Abstract: Techniques for tuning systems generate configurations that are used to test the systems to determine optimal configurations for the systems. The configurations for a system are generated to allow for effective testing of the system while remaining within budgetary and/or resource constraints. The configurations may be selected to satisfy one or more conditions on their distributions to ensure that a satisfactory set of configurations are tested. Machine learning techniques may be used to create models of systems and those models can be used to determine optimal configurations.

    Abstract translation: 调整系统的技术生成用于测试系统以确定系统的最佳配置的配置。 生成系统的配置以允许在保持在预算和/或资源限制内的系统的有效测试。 可以选择配置以满足其分布上的一个或多个条件,以确保测试一组令人满意的配置。 机器学习技术可用于创建系统模型,这些模型可用于确定最佳配置。

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