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    • 1. 发明授权
    • Automated storage provisioning within a clustered computing environment
    • 集群计算环境中的自动存储配置
    • US08489812B2
    • 2013-07-16
    • US12915153
    • 2010-10-29
    • Kavita ChavdaDavid P. GoodmanSandeep GopisettyLarry S. McGimseyJames E. OlsonAameek Singh
    • Kavita ChavdaDavid P. GoodmanSandeep GopisettyLarry S. McGimseyJames E. OlsonAameek Singh
    • G06F12/00
    • G06F3/0689G06F3/0605G06F3/0619G06F3/0665G06F3/067
    • An approach for automatic storage planning and provisioning within a clustered computing environment is provided. Planning input for a set of storage area network volume controllers (SVCs) will be received within the clustered computing environment, the planning input indicating a potential load on the SVCs and its associated components. Analytical models (e.g., from vendors) can be also used that allow for a load to be accurately estimated on the storage components. Configuration data for a set of storage components (i.e., the set of SVCs, a set of managed disk (Mdisk) groups associated with the set of SVCs, and a set of backend storage systems) will also be collected. Based on this configuration data, the set of storage components will be filtered to identify candidate storage components capable of addressing the potential load. Then, performance data for the candidate storage components will be analyzed to identify an SVC and an Mdisk group to address the potential load.
    • 提供了一种在集群计算环境中自动存储规划和配置的方法。 将在集群计算环境内接收一组存储区域网络卷控制器(SVC)的规划输入,规划输入指示SVC及其相关组件的潜在负载。 还可以使用分析模型(例如,来自供应商),允许在存储组件上准确地估计负载。 还将收集用于一组存储组件(即,一组SVC,与该组SVC相关联的一组受管理磁盘(Mdisk)组)和一组后端存储系统的配置数据。 基于该配置数据,将对该组存储组件进行滤波以识别能够寻址潜在负载的候选存储组件。 然后,将分析候选存储组件的性能数据,以识别SVC和Mdisk组以解决潜在负载。
    • 5. 发明申请
    • REMOTE DATA PROTECTION IN A NETWORKED STORAGE COMPUTING ENVIRONMENT
    • 网络存储计算环境中的远程数据保护
    • US20120203742A1
    • 2012-08-09
    • US13023240
    • 2011-02-08
    • David P. GoodmanSandeep GopisettyShripad NadgowdaRamani Ranjan Routray
    • David P. GoodmanSandeep GopisettyShripad NadgowdaRamani Ranjan Routray
    • G06F17/30
    • G06F17/30082G06F11/1451G06F11/1461G06F11/1464G06F11/1469G06F17/30088G06F17/302G06F17/30575
    • Embodiments of the present invention provide an approach for protecting and restoring data within a networked (e.g. cloud) storage computing environment through asynchronous replication and remote backup of data and its associated metadata. Under embodiments of the present invention, data backup and recovery functionality provides data backups by detecting incremental updates to the data and its associated metadata at specific points in time determined by policies. The policies are configurable based on user requirements. Multiple copies of the data backups can be made and stored in separate compressed files at backup/disaster recovery locations. The backups of data and its associated metadata, which includes file system configuration information can be used to restore the state of a computer file system to that of a given point-in-time. Accordingly, a data protection approach is disclosed for protecting data at both the file system level and application level.
    • 本发明的实施例提供了一种用于通过数据及其相关联的元数据的异步复制和远程备份来保护和恢复联网(例如云)存储计算环境内的数据的方法。 在本发明的实施例中,数据备份和恢复功能通过在由策略确定的特定时间点检测数据及其相关联的元数据的增量更新来提供数据备份。 这些策略可以根据用户需求进行配置。 数据备份的多个副本可以在备份/灾难恢复位置存储在单独的压缩文件中。 数据及其关联元数据的备份(包括文件系统配置信息)可用于将计算机文件系统的状态恢复到给定时间点的状态。 因此,公开了一种用于在文件系统级和应用级保护数据的数据保护方法。
    • 7. 发明申请
    • AUTOMATED STORAGE PROVISIONING WITHIN A CLUSTERED COMPUTING ENVIRONMENT
    • 在集群计算环境中自动存储提供
    • US20120110260A1
    • 2012-05-03
    • US12915153
    • 2010-10-29
    • Kavita ChavdaDavid P. GoodmanSandeep GopisettyLarry S. McGimseyJames E. OlsonAameek Singh
    • Kavita ChavdaDavid P. GoodmanSandeep GopisettyLarry S. McGimseyJames E. OlsonAameek Singh
    • G06F12/00
    • G06F3/0689G06F3/0605G06F3/0619G06F3/0665G06F3/067
    • Embodiments of the present invention provide an approach for automatic storage planning and provisioning within a clustered computing environment (e.g., a cloud computing environment). Specifically, embodiments of the present invention will receive planning input for a set of storage area network volume controllers (SVCs) within the clustered computing environment, the planning input indicating a potential load on the SVCs and its associated components. Along these lines, analytical models (e.g., from vendors) can be also used that allow for a load to be accurately estimated on the storage components. Regardless, configuration data for a set of storage components (i.e., the set of SVCs, a set of managed disk (Mdisk) groups associated with the set of SVCs, and a set of backend storage systems) will also be collected. Based on this configuration data, the set of storage components will be filtered to identify candidate storage components capable of addressing the potential load. Then, performance data for the candidate storage components will be analyzed to identify an SVC and an Mdisk group to address the potential load. This allows for storage provisioning planning to be automated in a highly accurate fashion.
    • 本发明的实施例提供了一种用于集群计算环境(例如,云计算环境)内的自动存储规划和供应的方法。 具体地,本发明的实施例将接收针对集群计算环境内的一组存储区域网络卷控制器(SVC)的规划输入,规划输入指示SVC及其相关组件上的潜在负载。 沿着这些线路,还可以使用分析模型(例如,来自供应商),允许在存储组件上准确地估计负载。 无论如何,还将收集一组存储组件(即,一组SVC,与该组SVC相关联的一组受管理磁盘(Mdisk)组)和一组后端存储系统的配置数据。 基于该配置数据,将对该组存储组件进行滤波以识别能够寻址潜在负载的候选存储组件。 然后,将分析候选存储组件的性能数据,以识别SVC和Mdisk组以解决潜在负载。 这使得存储配置计划能够以高度精确的方式自动化。