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。

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。