公开(公告)号：US08745637B2

公开(公告)日：2014-06-03

申请号：US12622737

申请日：2009-11-20

申请人： Aameek Singh ,  Sandeep Madhav Uttamchandani ,  Yin Wang

发明人： Aameek Singh ,  Sandeep Madhav Uttamchandani ,  Yin Wang

IPC分类号： G06F3/00 ,  G06F9/44 ,  G06F9/46 ,  G06F13/00

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。

公开(公告)号：US20120323848A1

公开(公告)日：2012-12-20

申请号：US13584509

申请日：2012-08-13

申请人： Dean Hildebrand ,  Aameek Singh ,  Renu Tewari

发明人： Dean Hildebrand ,  Aameek Singh ,  Renu Tewari

IPC分类号： G06F17/30

CPC分类号： G06F17/30578

摘要： Embodiments of the invention relate to creating and maintaining consistent data sets in a shared pool of configurable computer resources to support disaster recovery support. Data from an application is stored in local data storage and replicated to another data storage. A consistency point of the data is created in both of the data storage, with the consistency point representing an identical data set at a point-in-time. Based upon the created consistency points, a consistent set of application data may be requested to support a read operation for a migrated application.

摘要翻译： 本发明的实施例涉及在共享的可配置计算机资源池中创建和维护一致的数据集，以支持灾难恢复支持。 来自应用程序的数据存储在本地数据存储中并复制到另一个数据存储。 在两个数据存储器中创建数据的一致性点，一致点在一个时间点表示相同的数据集。 基于创建的一致性点，可以请求一致的一组应用程序数据来支持已迁移的应用程序的读取操作。

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。

公开(公告)号：US08949182B2

公开(公告)日：2015-02-03

申请号：US13162615

申请日：2011-06-17

申请人： Dean Hildebrand ,  Aameek Singh ,  Renu Tewari

发明人： Dean Hildebrand ,  Aameek Singh ,  Renu Tewari

IPC分类号： G06F17/30

CPC分类号： G06F17/30578

摘要： Embodiments of the invention relate to creating and maintaining consistent data sets in a shared pool of configurable computer resources to support disaster recovery support. Data from an application is stored in local data storage and replicated to another data storage. A consistency point of the data is created in both of the data storage, with the consistency point representing an identical data set at a point-in-time. Based upon the created consistency points, a consistent set of application data may be requested to support a read operation for a migrated application.

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：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。

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。

公开(公告)号：US20120042061A1

公开(公告)日：2012-02-16

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： G06F15/173 ,  G06F9/455

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。

公开(公告)号：US08070601B2

公开(公告)日：2011-12-06

申请号：US12540227

申请日：2009-08-12

申请人： Arup Acharya ,  Aameek Singh

发明人： Arup Acharya ,  Aameek Singh

IPC分类号： A63F9/24

CPC分类号： A63F13/87 ,  A63F13/12 ,  A63F13/795 ,  A63F2300/407 ,  A63F2300/50 ,  A63F2300/572 ,  H04L65/1006 ,  H04L65/4038 ,  H04L67/38

摘要： This invention is directed to a system and method for the close coupling of Session Initiation Protocol (SIP) based Voice over Internet Protocol (VoIP) with multiplayer network games. Game state dependent voice communications are used as another method of player interaction in the game environment. The system uses SIP enhanced game servers and conference servers with audio mixing capabilities, and the game server controls the creation, maintenance and changing of the voice conferences. Participation in a voice conference is determined by the game state features associated with each player including distance and direction to determine how the voices are mixed in a voice conference.

摘要翻译： 本发明涉及一种用于基于会话发起协议（SIP）的基于语音的互联网协议（VoIP）与多玩家网络游戏的紧密耦合的系统和方法。 游戏状态相关的语音通信被用作游戏环境中玩家交互的另一种方法。 该系统使用具有音频混合功能的SIP增强游戏服务器和会议服务器，游戏服务器控制语音会议的创建，维护和更改。 参与语音会议由与每个玩家相关联的游戏状态特征确定，包括距离和方向，以确定语音在语音会议中如何混合。

公开(公告)号：US20110153507A1

公开(公告)日：2011-06-23

申请号：US12624913

申请日：2009-12-22

申请人： Seshashayee Murthy ,  Aameek Singh ,  Sandeep M. Uttamachandani

发明人： Seshashayee Murthy ,  Aameek Singh ,  Sandeep M. Uttamachandani

IPC分类号： G06Q10/00 ,  G06Q50/00 ,  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。