Dynamic context-based data protection and distribution

    公开(公告)号:US09898485B2

    公开(公告)日:2018-02-20

    申请号:US14696149

    申请日:2015-04-24

    CPC classification number: G06F17/30215 G06F17/30082 G06F17/30091

    Abstract: Systems and methods for storing data in a data storage system that allows dynamic context-based data protection and distribution are disclosed. The method includes receiving a storage request and evaluating whether a storage policy is specified in the storage request. When the storage request specifies a storage policy, the data is stored according to the specified policy. When the storage request does not specify a storage policy, meta data and/or the data item itself may be evaluated to identify a storage policy. When a storage policy has been identified, store the data is stored according to the identified policy. When a storage policy has not been specified and cannot be identified, an error is returned.

    DYNAMIC CONTEXT-BASED DATA PROTECTION AND DISTRIBUTION
    2.
    发明申请
    DYNAMIC CONTEXT-BASED DATA PROTECTION AND DISTRIBUTION 有权
    基于动态背景的数据保护和分发

    公开(公告)号:US20160314144A1

    公开(公告)日:2016-10-27

    申请号:US14696149

    申请日:2015-04-24

    CPC classification number: G06F17/30215 G06F17/30082 G06F17/30091

    Abstract: Systems and methods for storing data in a data storage system that allows dynamic context-based data protection and distribution are disclosed. The method includes receiving a storage request and evaluating whether a storage policy is specified in the storage request. When the storage request specifies a storage policy, the data is stored according to the specified policy. When the storage request does not specify a storage policy, meta data and/or the data item itself may be evaluated to identify a storage policy. When a storage policy has been identified, store the data is stored according to the identified policy. When a storage policy has not been specified and cannot be identified, an error is returned.

    Abstract translation: 公开了一种用于将数据存储在允许动态基于上下文的数据保护和分发的数据存储系统中的系统和方法。 该方法包括接收存储请求并评估在存储请求中是否指定了存储策略。 当存储请求指定存储策略时,根据指定的策略存储数据。 当存储请求未指定存储策略时,可以评估元数据和/或数据项本身以识别存储策略。 当存储策略被识别时,根据所识别的策略存储数据。 当尚未指定存储策略并且无法识别存储策略时,将返回错误。

    DYNAMIC DATA PROTECTION AND DISTRIBUTION RESPONSIVE TO EXTERNAL INFORMATION SOURCES
    3.
    发明申请
    DYNAMIC DATA PROTECTION AND DISTRIBUTION RESPONSIVE TO EXTERNAL INFORMATION SOURCES 审中-公开
    动态数据保护和分配对外部信息来源的响应

    公开(公告)号:US20160314118A1

    公开(公告)日:2016-10-27

    申请号:US14694931

    申请日:2015-04-23

    Abstract: Systems and methods for dynamic context based data protection and distribution in which data replication in a multi-zone storage system automatically changes based on historical storage trends and/or external information obtained from third party information sources is described herein. The methods include monitoring third party information sources and evaluating a correlation between event data from the third party information sources and key words that are user provided and/or system derived. A correlation between the event data and data storage history may be evaluated. A storage policy is derived based on the results of the correlation evaluation(s). The derived storage policy and corresponding key words are stored in a database.

    Abstract translation: 本文描述了基于动态上下文的数据保护和分发的系统和方法,其中多区域存储系统中的数据复制基于历史存储趋势和/或从第三方信息源获得的外部信息而自动改变。 这些方法包括监视第三方信息源并评估来自第三方信息源的事件数据与用户提供和/或系统导出的关键字之间的相关性。 可以评估事件数据和数据存储历史之间的相关性。 基于相关性评估的结果导出存储策略。 派生存储策略和相应的关键字存储在数据库中。

    Dynamic data protection and distribution responsive to external information sources

    公开(公告)号:US10540329B2

    公开(公告)日:2020-01-21

    申请号:US14694931

    申请日:2015-04-23

    Abstract: Systems and methods for dynamic context based data protection and distribution are described herein. In the method data replication in a multi-zone storage system automatically changes based on historical storage trends and/or external information obtained from third party information sources, such as feeds, websites, news alerts, emergency alerts, weather alerts and databases. The methods include monitoring third party information sources and evaluating a correlation between event data from the third party information sources and key words that are user provided and/or system derived. A correlation between the event data and data storage history is evaluated. A storage policy is derived based on the results of the correlation evaluation(s). The derived storage policy and corresponding key words are stored in a database. Data is stored in storage arrays according to storage policies corresponding to the key words identified in the data.

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