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1. 发明授权

US07779423B2 Detecting entity changes in a storage area network environment 有权
标题翻译：检测存储区域网络环境中的实体变化
公开(公告)号：US07779423B2
公开(公告)日：2010-08-17
申请号：US11556509
申请日：2006-11-03
申请人： Ashmi Ashokkumar Chokshi , Sandeep Gopisetty , Glen Hattrup , David Lynn Merbach , Sumant Padbidri , Prasenjit Sarkar , Soumitra Sarkar
发明人： Ashmi Ashokkumar Chokshi , Sandeep Gopisetty , Glen Hattrup , David Lynn Merbach , Sumant Padbidri , Prasenjit Sarkar , Soumitra Sarkar
IPC分类号： G06F3/00 , G06F9/44 , G06F9/46 , G06F13/00
CPC分类号： H04L41/0686 , H04L41/0853 , H04L41/0893 , H04L43/04 , H04L43/0817 , H04L67/1097
摘要： An apparatus, system, and method are disclosed for detecting entity changes in a storage area network. A discovery module probes a plurality of entities of the storage area network to detect an event in response to a policy, stores attributes of the probed entities, and reports the event with a probe event reference. A monitor module receives a self-announced event reference of the event if an entity communicates the event. A configuration module records the event as an initiated event reference if the event is initiated by an administrator. An event manager synthesizes a report of the event from the event references.
摘要翻译：公开了用于检测存储区域网络中的实体变化的装置，系统和方法。发现模块探测存储区域网络的多个实体以响应于策略来检测事件，存储探测实体的属性，并且用探测事件引用来报告事件。如果实体通信事件，则监视器模块接收事件的自发事件引用。如果事件由管理员启动，则配置模块将事件记录为启动的事件引用。事件管理器从事件引用中综合了事件的报告。

2. 发明申请

US20080109822A1 DETECTING ENTITY CHANGES IN A STORAGE AREA NETWORK ENVIRONMENT 有权
标题翻译：检测存储区域网络环境中的实体变化
公开(公告)号：US20080109822A1
公开(公告)日：2008-05-08
申请号：US11556509
申请日：2006-11-03
申请人： Ashmi Ashokkumar Chokshi , Sandeep Gopisetty , Glen Hattrup , David Lynn Merbach , Sumant Padbidri , Prasenjit Sarkar , Soumitra Sarkar
发明人： Ashmi Ashokkumar Chokshi , Sandeep Gopisetty , Glen Hattrup , David Lynn Merbach , Sumant Padbidri , Prasenjit Sarkar , Soumitra Sarkar
IPC分类号： G06F9/54
CPC分类号： H04L41/0686 , H04L41/0853 , H04L41/0893 , H04L43/04 , H04L43/0817 , H04L67/1097
摘要： An apparatus, system, and method are disclosed for detecting entity changes in a storage area network. A discovery module probes a plurality of entities of the storage area network to detect an event in response to a policy, stores attributes of the probed entities, and reports the event with a probe event reference. A monitor module receives a self-announced event reference of the event if an entity communicates the event. A configuration module records the event as an initiated event reference if the event is initiated by an administrator. An event manager synthesizes a report of the event from the event references.
摘要翻译：公开了用于检测存储区域网络中的实体变化的装置，系统和方法。发现模块探测存储区域网络的多个实体以响应于策略来检测事件，存储探测实体的属性，并且用探测事件引用来报告事件。如果实体通信事件，则监视器模块接收事件的自发事件引用。如果事件由管理员启动，则配置模块将事件记录为启动的事件引用。事件管理器从事件引用中综合了事件的报告。

3. 发明申请

US20050071482A1 System and method for generating perspectives of a SAN topology 有权
标题翻译：用于生成SAN拓扑视角的系统和方法
公开(公告)号：US20050071482A1
公开(公告)日：2005-03-31
申请号：US10676698
申请日：2003-09-30
申请人： Sandeep Gopisetty , Sumant Padbidri , Prasenjit Sarkar , Chung-Hao Tan , Kaladhar Voruganti
发明人： Sandeep Gopisetty , Sumant Padbidri , Prasenjit Sarkar , Chung-Hao Tan , Kaladhar Voruganti
IPC分类号： H04L12/24 , G06F15/16 , G06F15/173
CPC分类号： H04L41/12 , H04L41/22
摘要： A SAN management system including the ability to generate perspectives of a SAN topology is provided. The SAN management system includes a SAN manager program to monitor a SAN. The SAN management system further includes a SAN management database linked with the SAN manager program, wherein the SAN management database maintains information identifying devices included within the SAN and connections between the devices. In addition, the SAN management system includes a plurality of sensor agents positioned within the devices included within the SAN, wherein the sensor agents gather information pertaining to the connections between the devices and provide the gathered information to the SAN manager program for inclusion within the SAN management database. Moreover, the SAN management system includes a topology viewer linked to the SAN manager to generate a user requested topology perspective according to data included within the SAN management database and data associated with a previously requested topology perspective.
摘要翻译：提供了包括生成SAN拓扑视角的SAN管理系统。 SAN管理系统包括一个监视SAN的SAN管理程序。 SAN管理系统还包括与SAN管理程序连接的SAN管理数据库，其中SAN管理数据库维护标识SAN内包含的设备的信息和设备之间的连接。另外，SAN管理系统包括位于包含在SAN内的设备内的多个传感器代理，其中传感器代理收集与设备之间的连接有关的信息，并将收集的信息提供给SAN管理程序以包含在SAN内管理数据库。此外，SAN管理系统还包括一个与SAN管理器相关联的拓扑查看器，以根据SAN管理数据库中包含的数据和与之前请求的拓扑透视相关联的数据生成用户请求的拓扑视角。

4. 发明申请

US20050091353A1 System and method for autonomically zoning storage area networks based on policy requirements 审中-公开
标题翻译：基于策略要求自动分区存储区域网络的系统和方法
公开(公告)号：US20050091353A1
公开(公告)日：2005-04-28
申请号：US10676433
申请日：2003-09-30
申请人： Sandeep Gopisetty , Prasenjit Sarkar , Chung-Hao Tan
发明人： Sandeep Gopisetty , Prasenjit Sarkar , Chung-Hao Tan
IPC分类号： G06F15/16 , G06F15/173 , H04L29/06 , H04L29/08
CPC分类号： H04L63/104 , H04L67/1097 , H04L69/329
摘要： According to the present invention, there is provided a system to provide autonomically zoning of storage area networks based on system administrator defined policies. This will allow system administrators to manage the storage area network zones from a single window of control and also remove the responsibility of managing switch ports to the underlying autonomic more, the system administrator can specify policies that can changes with the growth of the storage network infrastructure. The system includes an autonomic zoning management module to autonomically generate zoning plans pertaining to network, according to a combination of each device in the network's connectivity information and user generated policies.
摘要翻译：根据本发明，提供了一种基于系统管理员定义的策略来提供存储区域网络的自主分区的系统。这将允许系统管理员从一个单一的控制窗口管理存储区域网络区域，并且更多地将管理交换机端口的责任移交给基础自治系统，系统管理员可以指定随着存储网络基础设施的增长而可能发生变化的策略。该系统包括自动分区管理模块，用于根据网络的连接信息中的每个设备和用户生成的策略的组合自动生成与网络有关的分区计划。

5. 发明授权

US10203993B2 Method and system for continuous optimization of data centers by combining server and storage virtualization 有权
公开(公告)号：US10203993B2
公开(公告)日：2019-02-12
申请号：US12388404
申请日：2009-02-18
申请人： Sandeep Gopisetty , Madhukar R. Korupolu , Dushmanta Mohapatra , Seshashayee Sankarshana Murthy , Aameek Singh
发明人： Sandeep Gopisetty , Madhukar R. Korupolu , Dushmanta Mohapatra , Seshashayee Sankarshana Murthy , Aameek Singh
IPC分类号： G06F9/50
摘要： The invention provides a method and system for continuous optimization of a data center. The method includes monitoring loads of storage modules, server modules and switch modules in the data center, detecting an overload condition upon a load exceeding a load threshold, combining server and storage virtualization to address storage overloads by planning allocation migration between the storage modules, to address server overloads by planning allocation migration between the server modules, to address switch overloads by planning allocation migration mix between server modules and storage modules for overload reduction, and orchestrating the planned allocation migration to reduce the overload condition in the data center.

6. 发明授权

US09679029B2 Optimizing storage cloud environments through adaptive statistical modeling 有权
公开(公告)号：US09679029B2
公开(公告)日：2017-06-13
申请号：US12942011
申请日：2010-11-08
申请人： Richard Ayala , Kavita Chavda , Sandeep Gopisetty , Seshashayee S. Murthy , Aameek Singh , Sandeep M. Uttamchandani
发明人： Richard Ayala , Kavita Chavda , Sandeep Gopisetty , Seshashayee S. Murthy , Aameek Singh , Sandeep M. Uttamchandani
IPC分类号： G06F17/30
CPC分类号： G06F17/30557
摘要： Embodiments of the present invention provide an approach for adapting an information extraction middleware for a clustered computing environment (e.g., a cloud environment) by creating and managing a set of statistical models generated from performance statistics of operating devices within the clustered computing environment. This approach takes into account the required accuracy in modeling, including computation cost of modeling, to pick the best modeling solution at a given point in time. When higher accuracy is desired (e.g., nearing workload saturation), the approach adapts to use an appropriate modeling algorithm. Adapting statistical models to the data characteristics ensures optimal accuracy with minimal computation time and resources for modeling. This approach provides intelligent selective refinement of models using accuracy-based and operating probability-based triggers to optimize the clustered computing environment, i.e., maximize accuracy and minimize computation time.

7. 发明授权

US09329908B2 Proactive identification of hotspots in a cloud computing environment 有权
标题翻译：在云计算环境中主动识别热点
公开(公告)号：US09329908B2
公开(公告)日：2016-05-03
申请号：US12893302
申请日：2010-09-29
申请人： Sandeep Gopisetty , Seshashayee S. Murthy , Aameek Singh , Sandeep M. Uttamchandani , David D. Weck
发明人： Sandeep Gopisetty , Seshashayee S. Murthy , Aameek Singh , Sandeep M. Uttamchandani , David D. Weck
IPC分类号： G06F15/173 , G06F9/50
CPC分类号： H04L43/10 , G06F9/5083 , G06F2209/508 , H04L67/10
摘要： The present invention proactively identifies hotspots in a cloud computing environment through cloud resource usage models that use workload parameters as inputs. In some embodiments the cloud resource usage models are based upon performance data from cloud resources and time series based workload trend models. Hotspots may occur and can be detected at any layer of the cloud computing environment, including the server, storage, and network level. In a typical embodiment, parameters for a workload are identified in the cloud computing environment and inputted into a cloud resource usage model. The model is run with the inputted workload parameters to identify potential hotspots, and resources are then provisioned for the workload so as to avoid these hotspots.
摘要翻译：本发明通过使用工作负载参数作为输入的云资源使用模型主动地识别云计算环境中的热点。在一些实施例中，云资源使用模型基于来自云资源和基于时间序列的工作负载趋势模型的性能数据。热点可能发生，可以在云计算环境的任何层面检测，包括服务器，存储和网络级别。在典型的实施例中，工作负载的参数在云计算环境中被识别并被输入到云资源使用模型中。该模型使用输入的工作负载参数运行，以识别潜在的热点，然后为工作负载提供资源，以避免这些热点。

8. 发明授权

US08918439B2 Data lifecycle management within a cloud computing environment 有权
标题翻译：云计算环境中的数据生命周期管理
公开(公告)号：US08918439B2
公开(公告)日：2014-12-23
申请号：US12817245
申请日：2010-06-17
申请人： Gabriel Alatorre , Richard Ayala , Kavita Chavda , Sandeep Gopisetty , Aameek Singh
发明人： Gabriel Alatorre , Richard Ayala , Kavita Chavda , Sandeep Gopisetty , Aameek Singh
IPC分类号： G06F12/00 , G06F7/00 , G06F17/00 , G06F17/30 , G06F15/173 , G06F9/455
CPC分类号： G06F17/30082
摘要： Embodiments of the present invention provide lifecycle storage management for data within a Cloud computing environment. Specifically, a set of policies can be defined that allow for automatic valuation of the data and migration of the data between a set of storage tiers. Before a policy set is deployed, it can be assessed to determine effects it will have on cost, performance, and data location. Based on data characteristics and access patterns, a set of policy recommendations can be provided that predict the value of the data over time, and offer an improved migration strategy for moving the data between the set of storage tiers as the value of the data changes.
摘要翻译：本发明的实施例为云计算环境中的数据提供生命周期存储管理。具体来说，可以定义一组策略，允许数据的自动估价和一组存储层之间的数据迁移。在部署策略集之前，可以对其进行评估，以确定其对成本，性能和数据位置的影响。基于数据特征和访问模式，可以提供一组预测数据随时间推移的策略建议，并提供改进的迁移策略，用于随着数据值的变化在一组存储层之间移动数据。

9. 发明授权

US08478845B2 End-to-end provisioning of storage clouds 失效
标题翻译：存储云的端到端配置
公开(公告)号：US08478845B2
公开(公告)日：2013-07-02
申请号：US12857005
申请日：2010-08-16
申请人： Sandip Agarwala , Richard J. Ayala , Kavita Chavda , Sandeep Gopisetty
发明人： Sandip Agarwala , Richard J. Ayala , Kavita Chavda , Sandeep Gopisetty
IPC分类号： G06F15/177 , G06F15/167 , G06F15/173
CPC分类号： G06F15/177 , G06F3/0605 , G06F3/0629 , G06F3/067 , G06F9/5061 , H04L41/5054 , H04L67/1097
摘要： Embodiments discussed in this disclosure provide an integrated provisioning framework that automates the process of provisioning storage resources, end-to-end, for an enterprise storage cloud environment. Such embodiments configure and orchestrate the deployment of a user's workload and, at the same time, provide optimization across a multitude of storage cloud resources. Along these lines, input is received in the form of workload requirements and configuration information for available system resources. Based on the input, a set (at least one) of storage cloud configuration plans is developed that satisfy the workload requirements. A set of scripts is then generated that orchestrate the deployment and configuration of different software and hardware components based on the plans.
摘要翻译：在本公开中讨论的实施例提供了一种集成供应框架，其自动化为企业存储云环境提供端到端的存储资源的过程。这样的实施例配置和协调用户工作负载的部署，并且同时在多个存储云资源上提供优化。沿着这些方式，以可用系统资源的工作负载需求和配置信息的形式接收输入。基于输入，开发满足工作负载要求的一组（至少一个）存储云配置计划。然后生成一组脚本，根据计划编排不同软件和硬件组件的部署和配置。

10. 发明申请

US20120203742A1 REMOTE DATA PROTECTION IN A NETWORKED STORAGE COMPUTING ENVIRONMENT 有权
标题翻译：网络存储计算环境中的远程数据保护
公开(公告)号：US20120203742A1
公开(公告)日：2012-08-09
申请号：US13023240
申请日：2011-02-08
申请人： David P. Goodman , Sandeep Gopisetty , Shripad Nadgowda , Ramani Ranjan Routray
发明人： David P. Goodman , Sandeep Gopisetty , Shripad Nadgowda , Ramani Ranjan Routray
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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