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1. 发明授权

US08140682B2 System, method, and apparatus for server-storage-network optimization for application service level agreements 有权
标题翻译：用于服务器存储的系统，方法和设备 - 应用服务级别协议的网络优化
公开(公告)号：US08140682B2
公开(公告)日：2012-03-20
申请号：US12624913
申请日：2009-12-22
申请人： Seshashayee Murthy , Aameek Singh , Sandeep M. Uttamchandani
发明人： Seshashayee Murthy , Aameek Singh , Sandeep M. Uttamchandani
IPC分类号： G06Q99/00 , G06F15/173
CPC分类号： G06F9/5061 , G06Q10/04 , G06Q10/06 , G06Q10/067 , G06Q30/016
摘要： A computer-implemented method for determining, from a system including a plurality of data center resources, at least one configuration of data center resources for an implementation of an application. The method includes receiving application information and receiving information regarding known internal features up the data center resources. The method also includes provisioning the system of data center resources and creating possible configurations of data center resources for implementing application. The method also includes correlating models and data center resources to create an interrelated representation of the models and the data center resources. The models predict a relationship of parameters for the possible configurations. The method also includes creating a multiple dimensional analysis of parameters for the possible configurations of data center resources using the interrelated representation and selecting a configuration of data center resources from the possible configurations using the multiple dimensional analysis of parameters.
摘要翻译：一种用于从包括多个数据中心资源的系统确定用于实现应用的数据中心资源的至少一个配置的计算机实现的方法。该方法包括接收应用信息并接收与数据中心资源相关的已知内部特征的信息。该方法还包括配置数据中心资源系统，并为实现应用程序创建数据中心资源的可能配置。该方法还包括关联模型和数据中心资源，以创建模型和数据中心资源的相互关联的表示。模型预测可能配置的参数关系。该方法还包括使用相关表示创建用于数据中心资源的可能配置的参数的多维分析，并且使用参数的多维分析从可能的配置中选择数据中心资源的配置。

2. 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.

3. 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。

4. 发明申请

US20110126219A1 Middleware for Extracting Aggregation Statistics to Enable Light-Weight Management Planners 失效
标题翻译：提取聚合统计数据以实现轻量级管理规划者的中间件
公开(公告)号：US20110126219A1
公开(公告)日：2011-05-26
申请号：US12622737
申请日：2009-11-20
申请人： Aameek Singh , Sandeep M. Uttamchandani , Yin Wang
发明人： Aameek Singh , Sandeep M. Uttamchandani , Yin Wang
IPC分类号： G06F9/46
CPC分类号： G06F9/50
摘要： Management of a planner through use of a middleware layer. A computer system is configured with the middleware layer in communication with both a planner and a data repository. One or more modules are provided in the middleware layer to support the functionality of the planner. Application program interface calls are employed to call the modules, thereby mitigating duplication of the functionality in separate planners.
摘要翻译：通过使用中间件层来管理计划者。计算机系统配置有与计划者和数据存储库通信的中间件层。在中间件层中提供一个或多个模块以支持计划者的功能。应用程序接口调用用于调用模块，从而减轻单独规划者中功能的重复。

5. 发明授权

US08386410B2 System and method for semantic information extraction framework for integrated systems management 失效
标题翻译：综合系统管理语义信息提取框架的系统与方法
公开(公告)号：US08386410B2
公开(公告)日：2013-02-26
申请号：US12507630
申请日：2009-07-22
申请人： Sandeep Gopisetty , Ramani R. Routray , Aameek Singh , Sandeep M. Uttamchandani
发明人： Sandeep Gopisetty , Ramani R. Routray , Aameek Singh , Sandeep M. Uttamchandani
IPC分类号： G06F17/00 , G06N5/02
CPC分类号： G06Q10/10 , H04L41/0213 , H04L41/142
摘要： The invention provides an enterprise administration system and method. The system includes a user interface module configured to enter administration terms or select a predetermined script of administration terms, a knowledge base configured to store system information, a meta information module configured to use the system information to store entity-objective indexes, and a workflow mapping module configured to map the administration terms to system information extraction tasks to extract relevant entities and objectives and apply a rule to the extracted entities and objectives for presenting the extracted entities and objectives in a ranked order.
摘要翻译：本发明提供了一种企业管理系统和方法。该系统包括被配置为输入管理术语或选择管理术语的预定脚本的用户界面模块，被配置为存储系统信息的知识库，被配置为使用系统信息来存储实体目标索引的元信息模块和工作流映射模块被配置为将管理术语映射到系统信息提取任务以提取相关实体和目标，并将规则应用于提取的实体和目标，以排列顺序呈现提取的实体和目标。

6. 发明申请

US20120116743A1 OPTIMIZING STORAGE CLOUD ENVIRONMENTS THROUGH ADAPTIVE STATISTICAL MODELING 有权
标题翻译：通过自适应统计建模优化存储云环境
公开(公告)号：US20120116743A1
公开(公告)日：2012-05-10
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： G06G7/62
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.
摘要翻译：本发明的实施例提供了一种用于通过创建和管理从群集计算环境内的操作设备的性能统计生成的一组统计模型来适配用于群集计算环境（例如，云环境）的信息提取中间件的方法。这种方法考虑了所需的建模精度，包括建模的计算成本，以便在给定时间点选择最佳建模解决方案。当需要更高的精度（例如，接近工作负载饱和）时，该方法适应于使用适当的建模算法。将统计模型适应数据特征确保最佳精度，最小的计算时间和建模资源。该方法提供使用基于精度和基于概率的触发器来优化群集计算环境（即，最大化精度和最小化计算时间）的模型的智能选择性细化。

7. 发明申请

US20120079097A1 PROACTIVE IDENTIFICATION OF HOTSPOTS IN A CLOUD COMPUTING ENVIRONMENT 有权
标题翻译：在云计算环境中对实体进行主动识别
公开(公告)号：US20120079097A1
公开(公告)日：2012-03-29
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： G06F15/16 , G06F15/173
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。热点可能会发生，并且可以在云计算环境的任何一层检测，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. 发明申请

US20110022562A1 SYSTEM AND METHOD FOR SEMANTIC INFORMATION EXTRACTION FRAMEWORK FOR INTEGRATED SYSTEMS MANAGEMENT 失效
标题翻译：用于集成系统管理的语义信息提取框架的系统和方法
公开(公告)号：US20110022562A1
公开(公告)日：2011-01-27
申请号：US12507630
申请日：2009-07-22
申请人： Sandeep Gopisetty , Ramani R. Routray , Aameek Singh , Sandeep M. Uttamchandani
发明人： Sandeep Gopisetty , Ramani R. Routray , Aameek Singh , Sandeep M. Uttamchandani
IPC分类号： G06N5/02 , G06F17/30
CPC分类号： G06Q10/10 , H04L41/0213 , H04L41/142
摘要： The invention provides an enterprise administration system and method. The system includes a user interface module configured to enter administration terms or select a predetermined script of administration terms, a knowledge base configured to store system information, a meta information module configured to use the system information to store entity-objective indexes, and a workflow mapping module configured to map the administration terms to system information extraction tasks to extract relevant entities and objectives and apply a rule to the extracted entities and objectives for presenting the extracted entities and objectives in a ranked order.
摘要翻译：本发明提供了一种企业管理系统和方法。该系统包括被配置为输入管理术语或选择管理术语的预定脚本的用户界面模块，被配置为存储系统信息的知识库，被配置为使用系统信息来存储实体目标索引的元信息模块和工作流映射模块被配置为将管理术语映射到系统信息提取任务以提取相关实体和目标，并将规则应用于提取的实体和目标，以排列顺序呈现提取的实体和目标。

9. 发明申请

US20100106538A1 DETERMINING DISASTER RECOVERY SERVICE LEVEL AGREEMENTS FOR DATA COMPONENTS OF AN APPLICATION 审中-公开
标题翻译：确定应用程序数据组件的灾难恢复服务级别协议
公开(公告)号：US20100106538A1
公开(公告)日：2010-04-29
申请号：US12256799
申请日：2008-10-23
申请人： Ramani R. Routray , Upendra Sharma , Aameek Singh , Sandeep M. Uttamchandani , Akshat Verma
发明人： Ramani R. Routray , Upendra Sharma , Aameek Singh , Sandeep M. Uttamchandani , Akshat Verma
IPC分类号： G06Q10/00 , G06Q50/00
CPC分类号： G06Q10/06 , G06Q10/06316
摘要： Techniques for determining one or more disaster recovery (DR) service level agreements (SLAs) for each of one or more components of an application are provided. The techniques include identifying one or more components of an application, capturing one or more intra-application data dependencies between the one or more components, and mapping each of the one or more components to a DR profile to determine one or more DR SLAs for each of the one or more components of an application.
摘要翻译：提供了用于为应用的一个或多个组件中的每一个确定一个或多个灾难恢复（DR）服务水平协议（SLA）的技术。这些技术包括识别应用程序的一个或多个组件，捕获一个或多个组件之间的一个或多个应用程序内数据依赖关系，并将一个或多个组件中的每一个映射到DR配置文件，以确定每一个或多个组件的一个或多个DR SLA 的应用程序的一个或多个组件。

10. 发明授权

US08315991B2 Detecting inadvertent or malicious data corruption in storage subsystems and recovering data 失效
标题翻译：检测存储子系统中的无意或恶意数据损坏并恢复数据
公开(公告)号：US08315991B2
公开(公告)日：2012-11-20
申请号：US12763934
申请日：2010-04-20
申请人： Nagapramod S. Mandagere , Mark J. Seaman , Sandeep M. Uttamchandani
发明人： Nagapramod S. Mandagere , Mark J. Seaman , Sandeep M. Uttamchandani
IPC分类号： G06F17/30
CPC分类号： G06F11/1435 , G06F17/30368 , G06F2201/84
摘要： Embodiments of the invention detect inadvertent or malicious data corruption and for recovering data including receiving a query specifying corrupted application data; analyzing transaction logs to find update operations related to the data; determining where the data are stored, by mapping the table data to locations within the file system and mapping the file system locations to volume logical blocks; and analyzing snapshot volume bitmaps to determine if the bitmaps show changes to the table data stored in the volume logical blocks. Changes which are reflected in the bitmaps for the data, but which do not have corresponding entries in the transaction logs are flagged as unauthorized changes. Snapshots of the data, from a time prior to the time at which a flagged snapshot was taken, are identified for use in restoring data to its status prior to the unauthorized change.
摘要翻译：本发明的实施例检测无意或恶意的数据损坏并且用于恢复数据，包括接收指定损坏的应用数据的查询; 分析事务日志以查找与数据相关的更新操作; 通过将表数据映射到文件系统内的位置并将文件系统位置映射到卷逻辑块来确定数据的存储位置; 并分析快照卷位图以确定位图是否显示存储在卷逻辑块中的表数据的更改。反映在数据的位图中但在事务日志中没有相应条目的更改将被标记为未经授权的更改。在从被标记的快照拍摄之前的时间起，数据的快照被识别用于在未经授权的更改之前将数据恢复到其状态。

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