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1. 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.

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。

5. 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。

6. 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。

7. 发明申请

US20120011316A1 INTELLIGENT STORAGE PROVISIONING WITHIN A CLUSTERED COMPUTING ENVIRONMENT 有权
标题翻译：在集群计算环境中的智能存储提供
公开(公告)号：US20120011316A1
公开(公告)日：2012-01-12
申请号：US12831455
申请日：2010-07-07
申请人： Kavita Chavda , David P. Goodman , Sandeep Gopisetty , Sechashayee S. Murthy , Aameek Singh
发明人： Kavita Chavda , David P. Goodman , Sandeep Gopisetty , Sechashayee S. Murthy , Aameek Singh
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。

8. 发明申请

US20100306382A1 SERVER CONSOLIDATION USING VIRTUAL MACHINE RESOURCE TRADEOFFS 有权
标题翻译：使用虚拟机资源贸易的服务器整合
公开(公告)号：US20100306382A1
公开(公告)日：2010-12-02
申请号：US12476061
申请日：2009-06-01
申请人： Michael D. Cardosa , Sandeep Gopisetty , Madhukar R. Korupolu , Aameek Singh
发明人： Michael D. Cardosa , Sandeep Gopisetty , Madhukar R. Korupolu , Aameek Singh
IPC分类号： G06F15/173 , G06F9/455
CPC分类号： G06F9/5077 , G06F9/45541 , G06F9/45558 , G06F9/5038 , G06F9/5044 , G06F9/5094 , G06F2009/4557 , G06F2009/45595 , G06F2209/5014 , G06F2209/504 , Y02D10/22
摘要： Server consolidation using virtual machine resource tradeoffs, is provided. One implementation involves assigning a virtual machine to a target physical server based on a plurality of virtualization parameters for maximizing utility of a plurality of virtual machines and physical servers. The assigning performs resource allocation for the virtual machine based on capabilities of the target physical server and a plurality of virtual machine resource requirements. Virtualization parameters include a reservation parameter (min) representing a minimum resources required for a VM, a limit parameter (max) representing a maximum resources allowable for the VM, and a weight parameter (shares) representing a share of spare resources for the VM.
摘要翻译：提供了使用虚拟机资源权衡的服务器整合。一个实现包括基于用于最大化多个虚拟机和物理服务器的效用的多个虚拟化参数将虚拟机分配给目标物理服务器。该分配基于目标物理服务器的能力和多个虚拟机资源需求来执行虚拟机的资源分配。虚拟化参数包括表示VM所需的最小资源的预留参数（min），表示VM允许的最大资源的限制参数（max）以及表示VM的备用资源份额的权重参数（共享）。

9. 发明申请

US20100211956A1 METHOD AND SYSTEM FOR CONTINUOUS OPTIMIZATION OF DATA CENTERS BY COMBINING SERVER AND STORAGE VIRTUALIZATION 审中-公开
标题翻译：通过组合服务器和存储虚拟化连续优化数据中心的方法和系统
公开(公告)号：US20100211956A1
公开(公告)日：2010-08-19
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
CPC分类号： G06F9/5088 , G06F9/505
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.
摘要翻译：本发明提供了一种数据中心连续优化的方法和系统。该方法包括监视数据中心中的存储模块，服务器模块和交换机模块的负载，在负载超过负载阈值时检测过载状况，通过计划存储模块之间的分配迁移，结合服务器和存储虚拟化来解决存储过载问题，地址服务器通过规划服务器模块之间的分配迁移来过载，通过规划服务器模块和存储模块之间的分配迁移组合来解决交换机过载，从而实现过载降级，并编排计划的分配迁移以减少数据中心的过载状况。

10. 发明申请

US20070185987A1 Apparatus, system, and method for monitoring computer system components 有权
标题翻译：用于监控计算机系统组件的装置，系统和方法
公开(公告)号：US20070185987A1
公开(公告)日：2007-08-09
申请号：US11347951
申请日：2006-02-06
申请人： Andreas Dieberger , Sandeep Gopisetty , Eser Kandogan , Cheryl Kieliszewski , Roberto Pineiro , Chung-hao Tan
发明人： Andreas Dieberger , Sandeep Gopisetty , Eser Kandogan , Cheryl Kieliszewski , Roberto Pineiro , Chung-hao Tan
IPC分类号： G06F15/173
CPC分类号： G06F11/328 , H04L43/045 , H04L67/1097
摘要： An apparatus, system, and method are disclosed for monitoring computer system components in large or complex systems. The apparatus includes an identifier module for associating at least one visual identifier with a computer system component. A function module associates one or more control functions with the visual identifier. A presentation module selectively displays the at least one identifier for the computer system component within a present view of a user interface. A monitoring module monitors the computer system component associated with the at least one identifier and modifies the identifier in response to a change in operational status for the computer system component.
摘要翻译：公开了用于监视大型或复杂系统中的计算机系统组件的装置，系统和方法。该装置包括用于将至少一个视觉标识符与计算机系统组件相关联的标识符模块。功能模块将一个或多个控制功能与视觉标识符相关联。呈现模块在用户界面的当前视图内选择性地显示计算机系统组件的至少一个标识符。监视模块监视与所述至少一个标识符相关联的计算机系统组件，并响应于计算机系统组件的操作状态的改变来修改标识符。

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