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公开(公告)号：US20120203742A1
公开(公告)日：2012-08-09
申请号：US13023240
申请日：2011-02-08
IPC分类号： G06F17/30
CPC分类号： G06F17/30082 , G06F11/1451 , G06F11/1461 , G06F11/1464 , G06F11/1469 , G06F17/30088 , G06F17/302 , G06F17/30575
摘要： 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.
摘要翻译： 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。
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公开(公告)号：US08676763B2
公开(公告)日：2014-03-18
申请号：US13023240
申请日：2011-02-08
CPC分类号： G06F17/30082 , G06F11/1451 , G06F11/1461 , G06F11/1464 , G06F11/1469 , G06F17/30088 , G06F17/302 , G06F17/30575
摘要： A method, system, and program product are provided 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. 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.
摘要翻译： 提供了一种方法，系统和程序产品，用于通过数据及其关联元数据的异步复制和远程备份来保护和恢复联网（例如云）存储计算环境中的数据。 数据备份和恢复功能通过在特定时间点检测数据及其关联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。
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公开(公告)号：US08024169B2
公开(公告)日：2011-09-20
申请号：US12108223
申请日：2008-04-23
IPC分类号： G06F9/44
CPC分类号： H04L41/046 , G06F3/0664 , H04L41/0213 , H04L41/145 , H04L67/1097
摘要： A method, system and computer program product are disclosed for simulating a storage area network including a set of correlated devices, each of the devices having a device agent. The method comprises the step of forming a set of simulation agents representing said device agents, including the steps of, (i) for each of the simulation agents, obtaining a set of agent profiles, and storing said agent profiles in a data store, and (ii) obtaining files describing class definitions for the simulation agents, and storing said files in the data store. With this information and data, a Visual Workbench is used to generate a display of said simulation agents. The preferred embodiment provides a framework and implementation that simulates the CIM agent of any SAN device. Each individual device CIM agent can be simulated in this framework based on the specification defined in an XML file and/or through snapshot mechanism.
摘要翻译： 公开了一种用于模拟包括一组相关设备的存储区域网络的方法，系统和计算机程序产品，每个设备具有设备代理。 该方法包括形成代表所述设备代理的一组仿真代理的步骤，包括以下步骤：（i）对于每个仿真代理，获得一组代理简档，以及将所述代理简档存储在数据存储中，以及 （ii）获取描述模拟代理的类定义的文件，以及将所述文件存储在数据存储中。 使用此信息和数据，Visual Workbench用于生成所述仿真代理的显示。 优选实施例提供了模拟任何SAN设备的CIM代理的框架和实现。 可以根据XML文件中定义的规范和/或通过快照机制在此框架中模拟每个单独的设备CIM代理。
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公开(公告)号：US20090271415A1
公开(公告)日：2009-10-29
申请号：US12108223
申请日：2008-04-23
IPC分类号： G06F17/30
CPC分类号： H04L41/046 , G06F3/0664 , H04L41/0213 , H04L41/145 , H04L67/1097
摘要： A method, system and computer program product are disclosed for simulating a storage area network including a set of correlated devices, each of the devices having a device agent. The method comprises the step of forming a set of simulation agents representing said device agents, including the steps of, (i) for each of the simulation agents, obtaining a set of agent profiles, and storing said agent profiles in a data store, and (ii) obtaining files describing class definitions for the simulation agents, and storing said files in the data store. With this information and data, a Visual Workbench is used to generate a display of said simulation agents. The preferred embodiment provides a framework and implementation that simulates the CIM agent of any SAN device. Each individual device CIM agent can be simulated in this framework based on the specification defined in an XML file and/or through snapshot mechanism.
摘要翻译： 公开了一种用于模拟包括一组相关设备的存储区域网络的方法，系统和计算机程序产品，每个设备具有设备代理。 该方法包括形成代表所述设备代理的一组仿真代理的步骤，包括以下步骤：（i）对于每个仿真代理，获得一组代理简档，以及将所述代理简档存储在数据存储中，以及 （ii）获取描述模拟代理的类定义的文件，以及将所述文件存储在数据存储中。 使用此信息和数据，Visual Workbench用于生成所述仿真代理的显示。 优选实施例提供了模拟任何SAN设备的CIM代理的框架和实现。 可以根据XML文件中定义的规范和/或通过快照机制在此框架中模拟每个单独的设备CIM代理。
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5.发明申请公开(公告)号：US20120011316A1
公开(公告)日：2012-01-12
申请号：US12831455
申请日：2010-07-07
IPC分类号： G06F12/02
CPC分类号： H04L67/1097 , G06F3/0607 , G06F3/0631 , G06F3/0664 , G06F3/067
摘要： Embodiments of the present invention provide an approach for intelligent storage planning and planning within a clustered computing environment (e.g., a cloud computing environment). Specifically, embodiments of the present invention will first determine/identify a set of storage area network volume controllers (SVCs) that is accessible from a host that has submitted a request for access to storage. Thereafter, a set of managed disk (mdisk) groups (i.e., corresponding to the set of SVCs) that are candidates for satisfying the request will be determined. This set of mdisk groups will then be filtered based on available space therein, a set of user/requester preferences, and optionally, a set of performance characteristics. Then, a particular mdisk group will be selected from the set of mdisk groups based on the filtering.
摘要翻译： 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）内的智能存储规划和规划的方法。 具体地，本发明的实施例将首先确定/识别可从已经提交了访问存储请求的主机可访问的一组存储区域网络卷控制器（SVC）。 此后，将确定作为满足该请求的候选的一组被管理盘（mdisk）组（即，对应于一组SVC）。 然后，这组mdisk组将根据其中的可用空间，一组用户/请求者首选项以及可选的一组性能特征进行过滤。 然后，将根据过滤从一组mdisk组中选择一个特定的mdisk组。
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公开(公告)号：US20120110260A1
公开(公告)日：2012-05-03
申请号：US12915153
申请日：2010-10-29
申请人： Kavita Chavda , David P. Goodman , Sandeep Gopisetty , Larry S. McGimsey , James E. Olson , Aameek Singh
发明人： Kavita Chavda , David P. Goodman , Sandeep Gopisetty , Larry S. McGimsey , James E. Olson , Aameek Singh
IPC分类号： G06F12/00
CPC分类号： G06F3/0689 , G06F3/0605 , G06F3/0619 , G06F3/0665 , G06F3/067
摘要： 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.
摘要翻译： 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。
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公开(公告)号：US08489809B2
公开(公告)日：2013-07-16
申请号：US12831455
申请日：2010-07-07
IPC分类号： G06F21/00
CPC分类号： H04L67/1097 , G06F3/0607 , G06F3/0631 , G06F3/0664 , G06F3/067
摘要： Embodiments of the present invention provide an approach for intelligent storage planning and planning within a clustered computing environment (e.g., a cloud computing environment). Specifically, embodiments of the present invention will first determine/identify a set of storage area network volume controllers (SVCs) that is accessible from a host that has submitted a request for access to storage. Thereafter, a set of managed disk (mdisk) groups (i.e., corresponding to the set of SVCs) that are candidates for satisfying the request will be determined. This set of mdisk groups will then be filtered based on available space therein, a set of user/requester preferences, and optionally, a set of performance characteristics. Then, a particular mdisk group will be selected from the set of mdisk groups based on the filtering.
摘要翻译： 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）内的智能存储规划和规划的方法。 具体地，本发明的实施例将首先确定/识别可从已经提交了访问存储请求的主机可访问的一组存储区域网络卷控制器（SVC）。 此后，将确定作为满足该请求的候选的一组被管理盘（mdisk）组（即，对应于一组SVC）。 然后，这组mdisk组将根据其中的可用空间，一组用户/请求者首选项以及可选的一组性能特征进行过滤。 然后，将根据过滤从一组mdisk组中选择一个特定的mdisk组。
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8.发明授权公开(公告)号：US08756310B2
公开(公告)日：2014-06-17
申请号：US13044048
申请日：2011-03-09
IPC分类号： G06F15/173
CPC分类号： H04L47/11 , G06F9/5072 , G06F11/3442 , G06F11/3495 , H04L41/147 , H04L43/0882
摘要： Embodiments of the present invention provide approaches (e.g., online methods) to analyze end-to-end performance issues in a multi-tier enterprise storage system (ESS), such as a storage cloud, where data may be distributed across multiple storage components. Specifically, performance and configuration data from different storage components (e.g., nodes) is collected and analyzed to identify nodes that are becoming (or may become) performance bottlenecks. In a typical embodiment, a set of components distributed among a set of tiers of an ESS is identified. For each component, a total capacity and a current load are determined. Based on these values, a utilization of each component is determined. Comparison of the utilization with a predetermined threshold and/or analysis of historical data allows one or more components causing a bottleneck to be identified.
摘要翻译： 本发明的实施例提供了分析多层企业存储系统（ESS）（诸如存储云）中的端到端性能问题的方法（例如在线方法），其中数据可以分布在多个存储组件上。 具体地，收集和分析来自不同存储组件（例如，节点）的性能和配置数据以识别正在（或可能成为）性能瓶颈的节点。 在典型的实施例中，识别分布在一组ESS中的一组分量。 对于每个组件，确定总容量和当前负载。 基于这些值，确定每个组件的利用率。 将利用率与预定阈值进行比较和/或历史数据分析允许识别出瓶颈的一个或多个组件。
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公开(公告)号：US08489812B2
公开(公告)日：2013-07-16
申请号：US12915153
申请日：2010-10-29
申请人： Kavita Chavda , David P. Goodman , Sandeep Gopisetty , Larry S. McGimsey , James E. Olson , Aameek Singh
发明人： Kavita Chavda , David P. Goodman , Sandeep Gopisetty , Larry S. McGimsey , James E. Olson , Aameek Singh
IPC分类号： G06F12/00
CPC分类号： G06F3/0689 , G06F3/0605 , G06F3/0619 , G06F3/0665 , G06F3/067
摘要： 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.
摘要翻译： 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。
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10.发明申请公开(公告)号：US20120233310A1
公开(公告)日：2012-09-13
申请号：US13044048
申请日：2011-03-09
IPC分类号： G06F15/173
CPC分类号： H04L47/11 , G06F9/5072 , G06F11/3442 , G06F11/3495 , H04L41/147 , H04L43/0882
摘要： Embodiments of the present invention provide approaches (e.g., online methods) to analyze end-to-end performance issues in a multi-tier enterprise storage system (ESS), such as a storage cloud, where data may be distributed across multiple storage components. Specifically, performance and configuration data from different storage components (e.g., nodes) is collected and analyzed to identify nodes that are becoming (or may become) performance bottlenecks. In a typical embodiment, a set of components distributed among a set of tiers of an ESS is identified. For each component, a total capacity and a current load are determined. Based on these values, a utilization of each component is determined. Comparison of the utilization with a predetermined threshold and/or analysis of historical data allows one or more components causing a bottleneck to be identified.
摘要翻译： 本发明的实施例提供了分析多层企业存储系统（ESS）（诸如存储云）中的端到端性能问题的方法（例如在线方法），其中数据可以分布在多个存储组件上。 具体地，收集和分析来自不同存储组件（例如，节点）的性能和配置数据以识别正在（或可能成为）性能瓶颈的节点。 在典型的实施例中，识别分布在一组ESS中的一组分量。 对于每个组件，确定总容量和当前负载。 基于这些值，确定每个组件的利用率。 将利用率与预定阈值进行比较和/或历史数据分析允许识别出瓶颈的一个或多个组件。
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