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31. 发明申请

US20060224550A1 Policy Based Resource Management for Legacy Data 失效
标题翻译：遗留资料的政策资源管理
公开(公告)号：US20060224550A1
公开(公告)日：2006-10-05
申请号：US10907427
申请日：2005-04-01
申请人： Sandeep Gopisetty , Norman Pass , Ramani Routray , Aameek Singh , Gauri Shah , Sandeep Uttamchandani , Kaladhar Voruganti
发明人： Sandeep Gopisetty , Norman Pass , Ramani Routray , Aameek Singh , Gauri Shah , Sandeep Uttamchandani , Kaladhar Voruganti
IPC分类号： G06F17/30
CPC分类号： G06F21/6236 , G06F17/30306 , G06F2221/2135 , G06F2221/2137
摘要： A policy-based resource management system provides an infrastructure that uses high-level definitions of data-types along with desired policy rules to manage legacy data. In particular, relevant legacy data is identified as well as the characteristics of storage devices where the legacy data resides. The storage management system determines what if any of the legacy data is stored in a manner that is non-compliant with the policy rules and corrects any violations. It generates corrective action plans, and then uses existing data migration software to migrate the data. Accordingly, the legacy data may be managed in a policy-based manner without requiring typical storage management software.
摘要翻译：基于策略的资源管理系统提供了使用数据类型的高级定义以及期望的策略规则来管理旧数据的基础设施。特别地，识别相关遗留数据以及遗留数据所在的存储设备的特性。存储管理系统确定如果有任何遗留数据以不符合策略规则的方式存储，并纠正任何违规行为。它生成纠正措施计划，然后使用现有的数据迁移软件迁移数据。因此，可以以基于策略的方式来管理遗留数据，而不需要典型的存储管理软件。

32. 发明申请

US20050185597A1 Method, system, and program for checking and repairing a network configuration 有权
公开(公告)号：US20050185597A1
公开(公告)日：2005-08-25
申请号：US10783435
申请日：2004-02-20
申请人： Cuong Le , David Shackelford , Gregory McBride , James Ratliff , Kaladhar Voruganti , Sandeep Gopisetty , Robert Basham , Dinesh Verma , Kang-Won Lee , Dakshi Agrawal , Brent Yardley , Khalid Filali-Adib
发明人： Cuong Le , David Shackelford , Gregory McBride , James Ratliff , Kaladhar Voruganti , Sandeep Gopisetty , Robert Basham , Dinesh Verma , Kang-Won Lee , Dakshi Agrawal , Brent Yardley , Khalid Filali-Adib
IPC分类号： G06F13/10 , G06F13/14 , H04L12/24 , H04L12/26 , H04L29/08
CPC分类号： H04L41/0866 , H04L41/0893 , H04L43/50 , H04L67/1097
摘要： Disclosed is a technique for performing configuration checking of a network. A network data store is scanned for at least one transaction. At least one event is generated for said transaction. At least one configuration policy is associated with said event. Said configuration policy is compared with configuration data associated with said event. It is determined whether said configuration policy has been violated based on the comparison. Also disclosed is a technique for performing proactive configuration checking of a network. A hypothetical network scenario is received. At least one transaction is generated based on the hypothetical network scenario. A network data store is populated with configuration data for said transaction. At least one event is generated for said transaction using a mapping of events to transactions. Configuration data associated with said event is used to determine whether a configuration policy has been violated. Moreover, disclosed is a technique for performing reactive configuration checking of a network. A request to perform configuration checking on an existing network configuration is received. A network data store is scanned for at least one transaction. At least one event is generated for said transaction using a mapping of events to transactions. Configuration data associated with said event is used to determine whether a configuration policy has been violated. Furthermore, disclosed is a technique for correcting a configuration problem. The configuration problem is detected. It is determined whether there is at least one solution for the configuration problem in a knowledge data store. When it is determined that there is at least one solution in the knowledge data store, automatically selecting a solution to solve the configuration problem. When said solution can be automatically applied, automatically applying said solution. When said solution cannot be automatically applied, notifying a user.

33. 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。

34. 发明授权

US09323561B2 Calibrating cloud computing environments 有权
标题翻译：校准云计算环境
公开(公告)号：US09323561B2
公开(公告)日：2016-04-26
申请号：US12855780
申请日：2010-08-13
申请人： Richard Ayala , Kavita Chavda , Sandeep Gopisetty , Seshashayee S. Murthy , Aameek Singh
发明人： Richard Ayala , Kavita Chavda , Sandeep Gopisetty , Seshashayee S. Murthy , Aameek Singh
IPC分类号： G06F9/455 , G06F9/50 , G06F11/34 , H04L12/24
CPC分类号： G06F9/45558 , G06F9/5072 , G06F11/3409 , G06F11/3433 , G06F11/3442 , G06F2009/4557 , G06F2209/501 , H04L41/14 , H04L41/145
摘要： In general, embodiments of present invention provide an approach for calibrating a cloud computing environment. Specifically, embodiments of the present invention provide an empirical approach for obtaining end-to-end performance characteristics for workloads in the cloud computing environment (hereinafter the “environment”). In a typical embodiment, different combinations of cloud server(s) and cloud storage unit(s) are determined. Then, a virtual machine is deployed to one or more of the servers within the cloud computing environment. The virtual machine is used to generate a desired workload on a set of servers within the environment. Thereafter, performance measurements for each of the different combinations under the desired workload will be taken. Among other things, the performance measurements indicate a connection quality between the set of servers and the set of storage units, and are used in calibrating the cloud computing environment to determine future workload placement. Along these lines, the performance measurements can be populated into a table or the like, and a dynamic map of a data center having the set of storage units can be generated.
摘要翻译：通常，本发明的实施例提供了一种用于校准云计算环境的方法。具体地，本发明的实施例提供了一种用于获得云计算环境（以下称为“环境”）中的工作负载的端到端性能特征的经验性方法。在典型的实施例中，确定云服务器和云存储单元的不同组合。然后，将虚拟机部署到云计算环境中的一个或多个服务器。虚拟机用于在环境中的一组服务器上生成所需的工作负载。此后，将采取在所需工作负荷下的每个不同组合的性能测量。其中，性能测量表明服务器组和存储单元组之间的连接质量，并用于校准云计算环境以确定未来的工作负载布局。沿着这些行，性能测量可以被填充到表等中，并且可以生成具有该组存储单元的数据中心的动态映射。

35. 发明授权

US08489809B2 Intelligent storage provisioning within a clustered computing environment 有权
标题翻译：集群计算环境中的智能存储配置
公开(公告)号：US08489809B2
公开(公告)日：2013-07-16
申请号：US12831455
申请日：2010-07-07
申请人： Kavita Chavda , David P. Goodman , Sandeep Gopisetty , Seshashayee S. Murthy , Aameek Singh
发明人： Kavita Chavda , David P. Goodman , Sandeep Gopisetty , Seshashayee S. Murthy , Aameek Singh
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。

36. 发明授权

US08407501B2 Allocation of storage resources in a networked computing environment based on energy utilization 有权
标题翻译：基于能源利用的网络计算环境中的存储资源分配
公开(公告)号：US08407501B2
公开(公告)日：2013-03-26
申请号：US13073081
申请日：2011-03-28
申请人： Sandip Agarwala , Eric K. Butler , Sandeep Gopisetty , Kavita Chavda
发明人： Sandip Agarwala , Eric K. Butler , Sandeep Gopisetty , Kavita Chavda
IPC分类号： G06F1/26
CPC分类号： H04L47/70 , G06F3/0625 , G06F3/0635 , G06F3/067 , Y02D10/154
摘要： Embodiments of the present invention provide an approach to provision storage resources (e.g., across an enterprise storage system (ESS) such as a general parallel file system (GPFS) or the like) for different workloads in an energy efficient manner. The system evaluates different energy profiles/workloads' energy consumption characteristics of storage devices to determine an allocation plan that reduces the energy cost (e.g., results in the lowest cost/energy consumption for handling a storage workload). In a typical embodiment, energy consumption characteristics for handling a particular storage workload will be determined. Thereafter, a type of storage device capable of handling the workload will be determined. Then, an allocation plan that results in the most efficient energy consumption for handling the workload will be developed. In general, the allocation plan is based upon the energy consumption characteristics and an energy efficiency algorithm. The energy efficiency algorithm serves to identify storage device(s) that can handle the workload in such a way as to reduce total energy consumption and, accordingly, costs. Along these lines, the energy efficiency algorithm may also consider other factors such as capacity and load of storage devices and service level agreement (SLA) terms in addition to energy costs (e.g., over times of day and/or days of week). In any event, at least one storage device can then be selected for handling the storage workload according to the allocation plan.
摘要翻译：本发明的实施例提供了一种以能量效率方式为不同工作负载提供存储资源（例如，跨企业存储系统（ESS），诸如通用并行文件系统（GPFS）等）的方法。该系统评估存储设备的不同能量简档/工作负载的能量消耗特征，以确定降低能量成本的分配计划（例如，导致用于处理存储工作负载的最低成本/能量消耗）。在典型的实施例中，将确定用于处理特定存储工作负载的能量消耗特性。此后，可以确定能够处理工作量的一种存储装置。然后，将开发出一种能够最有效地处理工作负载能耗的分配计划。一般来说，分配方案是基于能量消耗特性和能量效率算法。能源效率算法用于识别能够处理工作负载的存储设备，以减少总能量消耗，并因此降低成本。除此之外，能源效率算法还可以考虑其他因素，例如存储设备的容量和负载以及服务水平协议（SLA）术语以及能量成本（例如，超过一天和/或几周的时间）。在任何情况下，可以根据分配计划选择至少一个存储设备来处理存储工作负载。

37. 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。

38. 发明授权

US08306953B2 Online management of historical data for efficient reporting and analytics 有权
标题翻译：在线管理历史数据，以实现有效的报告和分析
公开(公告)号：US08306953B2
公开(公告)日：2012-11-06
申请号：US12872964
申请日：2010-08-31
申请人： Sandip Agarwala , Sandeep Gopisetty , Stefan Jaquet
发明人： Sandip Agarwala , Sandeep Gopisetty , Stefan Jaquet
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30536 , G06F17/30516
摘要： Embodiments for efficiently computing complex statistics from historical time series data are provided. A hierarchical summarization method includes receiving at least one stream of data and creating data blocks from the at least one stream of data. In another embodiment, a method for computing statistics for historical data includes accessing at least one online stream of historical data, the online stream of historical data including metadata, and creating data blocks from the at least one online stream of historical data. Each data block includes a pair of timestamps indicating a sampling start time and a sampling end time, a number of data samples spanned by the data block, a SUM(X) statistic, a SUM(XX) statistic, and a SUM(XY) statistic computed for the data samples spanned by the data block. Other methods are also presented, such as methods for efficiently and accurately calculating statistical queries regarding historical data for arbitrary time ranges, among others.
摘要翻译：提供了从历史时间序列数据有效地计算复杂统计数据的实施例。层次聚合方法包括从所述至少一个数据流接收至少一个数据流并创建数据块。在另一个实施例中，用于计算历史数据的统计的方法包括访问历史数据的至少一个在线流，历史数据的在线流，包括元数据，以及从历史数据的至少一个在线流创建数据块。每个数据块包括指示采样开始时间和采样结束时间的一对时间戳，由数据块跨越的数据样本的数量，SUM（X）统计量，SUM（XX）统计量和SUM（XY）对由数据块跨越的数据样本计算的统计量。还提出了其他方法，例如用于有效和准确地计算关于任意时间范围的历史数据的统计查询的方法等。

39. 发明申请

US20120254640A1 ALLOCATION OF STORAGE RESOURCES IN A NETWORKED COMPUTING ENVIRONMENT BASED ON ENERGY UTILIZATION 有权
标题翻译：基于能源利用的网络计算环境中的存储资源分配
公开(公告)号：US20120254640A1
公开(公告)日：2012-10-04
申请号：US13073081
申请日：2011-03-28
申请人： Sandip Agarwala , Eric K. Butler , Sandeep Gopisetty , Kavita Chavda
发明人： Sandip Agarwala , Eric K. Butler , Sandeep Gopisetty , Kavita Chavda
IPC分类号： G06F12/02 , G06F1/32
CPC分类号： H04L47/70 , G06F3/0625 , G06F3/0635 , G06F3/067 , Y02D10/154
摘要： Embodiments of the present invention provide an approach to provision storage resources (e.g., across an enterprise storage system (ESS) such as a general parallel file system (GPFS) or the like) for different workloads in an energy efficient manner. The system evaluates different energy profiles/workloads' energy consumption characteristics of storage devices to determine an allocation plan that reduces the energy cost (e.g., results in the lowest cost/energy consumption for handling a storage workload). In a typical embodiment, energy consumption characteristics for handling a particular storage workload will be determined. Thereafter, a type of storage device capable of handling the workload will be determined. Then, an allocation plan that results in the most efficient energy consumption for handling the workload will be developed. In general, the allocation plan is based upon the energy consumption characteristics and an energy efficiency algorithm. The energy efficiency algorithm serves to identify storage device(s) that can handle the workload in such a way as to reduce total energy consumption and, accordingly, costs. Along these lines, the energy efficiency algorithm may also consider other factors such as capacity and load of storage devices and service level agreement (SLA) terms in addition to energy costs (e.g., over times of day and/or days of week). In any event, at least one storage device can then be selected for handling the storage workload according to the allocation plan.
摘要翻译：本发明的实施例提供了一种以能量效率方式为不同工作负载提供存储资源（例如，跨企业存储系统（ESS），诸如通用并行文件系统（GPFS）等）的方法。该系统评估存储设备的不同能量简档/工作负载的能量消耗特征，以确定降低能量成本的分配计划（例如，导致用于处理存储工作负载的最低成本/能量消耗）。在典型的实施例中，将确定用于处理特定存储工作负载的能量消耗特性。此后，可以确定能够处理工作量的一种存储装置。然后，将开发出一种能够最有效地处理工作负载能耗的分配计划。一般来说，分配方案是基于能量消耗特性和能量效率算法。能源效率算法用于识别能够处理工作负载的存储设备，以减少总能量消耗，并因此降低成本。除此之外，能源效率算法还可以考虑其他因素，例如存储设备的容量和负载以及服务水平协议（SLA）术语以及能量成本（例如，超过一天和/或几周的时间）。在任何情况下，可以根据分配计划选择至少一个存储设备来处理存储工作负载。

40. 发明授权

US07787456B2 Checking and repairing a network configuration 失效
标题翻译：检查和修复网络配置
公开(公告)号：US07787456B2
公开(公告)日：2010-08-31
申请号：US12118572
申请日：2008-05-09
申请人： Cuong Minh Le , David Michael Shackelford , Gregory Edward McBride , James Mitchell Ratliff , Kaladhar Voruganti , Sandeep Gopisetty , Robert Beverley Basham , Dinesh C. Verma , Kang-Won Lee , Dakshi Agrawal , Brent William Yardley , Khalid Filali-Adib
发明人： Cuong Minh Le , David Michael Shackelford , Gregory Edward McBride , James Mitchell Ratliff , Kaladhar Voruganti , Sandeep Gopisetty , Robert Beverley Basham , Dinesh C. Verma , Kang-Won Lee , Dakshi Agrawal , Brent William Yardley , Khalid Filali-Adib
IPC分类号： H04L12/28 , H04L12/56
CPC分类号： H04L41/0866 , H04L41/0893 , H04L43/50 , H04L67/1097
摘要： Disclosed is a technique for correcting a configuration problem. The configuration problem is detected. It is determined whether there is at least one solution for the configuration problem in a knowledge data store. When it is determined that there is at least one solution in the knowledge data store, automatically selecting a solution to solve the configuration problem. When said solution can be automatically applied, automatically applying said solution. When said solution cannot be automatically applied, notifying a user.
摘要翻译：公开了一种用于校正配置问题的技术。检测到配置问题。确定在知识数据存储中是否存在用于配置问题的至少一个解决方案。当确定知识数据存储中至少有一个解决方案时，自动选择解决方案来解决配置问题。当所述解决方案可以自动应用时，自动应用所述解决方案。当所述解决方案无法自动应用时，通知用户。

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