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1.发明授权公开(公告)号：US08266280B2
公开(公告)日：2012-09-11
申请号：US12725952
申请日：2010-03-17
IPC分类号： G06F15/173
CPC分类号： H04L63/10 , G06F3/0613 , G06F3/0635 , G06F3/067 , H04L67/1097 , H04L69/32
摘要： A method is implemented in a computer infrastructure having computer executable code tangibly embodied on a computer readable storage medium having programming instructions. The programming instructions are operable to determine one or more optimal mappings between a server layer and a storage layer through a network layer based on performance metrics of one or more ports of at least one of the server layer, the storage layer and the network layer.
摘要翻译： 在具有计算机可执行代码的计算机基础设施中实现一种方法，其有形地体现在具有编程指令的计算机可读存储介质上 编程指令可操作以基于服务器层，存储层和网络层中的至少一个的一个或多个端口的性能度量，通过网络层确定服务器层和存储层之间的一个或多个最优映射。
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公开(公告)号：US20110022879A1
公开(公告)日：2011-01-27
申请号：US12508783
申请日：2009-07-24
申请人： Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Ramani R. Routray , Sandeep M. Uttamchandani
发明人： Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Ramani R. Routray , Sandeep M. Uttamchandani
CPC分类号： G06F11/0793 , G06F11/1438 , G06F11/1446 , G06F11/2035 , G06F11/2038 , G06F11/2056 , G06F11/2094 , G06F11/2097
摘要： A system and associated method for automated disaster recovery (DR) planning. A DR planning process receives disaster recovery requirements and a target environment configuration from a user to design DR plans for the target environment configuration that meets disaster recovery requirements. The DR planning process accesses a knowledgebase containing information on replication technologies, best practice recipes, and past deployment instances. The DR planning process creates the DR plans by analyzing the disaster recovery requirements into element risks, associating replication technologies to protect each element risks, combining associated replication technologies based on the best practice recipes, and selecting highly evaluated combination based on the past deployment instances. The DR planning process presents the DR plans as classified by replication strategy-architecture combination for each DR plans and marks how strongly each DR plans are recommended.
摘要翻译： 用于自动化灾难恢复（DR）规划的系统和相关方法。 DR计划过程从用户接收灾难恢复要求和目标环境配置，以设计满足灾难恢复要求的目标环境配置的DR计划。 DR计划流程访问包含有关复制技术，最佳实践配方和过去部署实例的信息的知识库。 DR计划过程通过将灾难恢复要求分析为元素风险，将复制技术与保护每个元素的风险相关联，并根据最佳实践方案组合关联的复制技术，并根据过去的部署实例选择高度评估的组合来创建DR计划。 灾害恢复计划过程将灾难恢复计划列为每个灾难恢复计划的复制策略 - 架构组合分类，并标记每个灾难恢复计划的推荐程度。
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公开(公告)号：US07992031B2
公开(公告)日：2011-08-02
申请号：US12508783
申请日：2009-07-24
申请人： Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Ramani R. Routray , Sandeep M. Uttamchandani
发明人： Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Ramani R. Routray , Sandeep M. Uttamchandani
IPC分类号： G06F11/00
CPC分类号： G06F11/0793 , G06F11/1438 , G06F11/1446 , G06F11/2035 , G06F11/2038 , G06F11/2056 , G06F11/2094 , G06F11/2097
摘要： A system and associated method for automated disaster recovery (DR) planning. A DR planning process receives disaster recovery requirements and a target environment configuration from a user to design DR plans for the target environment configuration that meets disaster recovery requirements. The DR planning process accesses a knowledgebase containing information on replication technologies, best practice recipes, and past deployment instances. The DR planning process creates the DR plans by analyzing the disaster recovery requirements into element risks, associating replication technologies to protect each element risks, combining associated replication technologies based on the best practice recipes, and selecting highly evaluated combination based on the past deployment instances. The DR planning process presents the DR plans as classified by replication strategy-architecture combination for each DR plans and marks how strongly each DR plans are recommended.
摘要翻译： 用于自动化灾难恢复（DR）规划的系统和相关方法。 DR计划过程从用户接收灾难恢复要求和目标环境配置，以设计满足灾难恢复要求的目标环境配置的DR计划。 DR计划流程访问包含有关复制技术，最佳实践配方和过去部署实例的信息的知识库。 DR计划过程通过将灾难恢复要求分析为元素风险，将复制技术与保护每个元素的风险相关联，并根据最佳实践方案组合关联的复制技术，并根据过去的部署实例选择高度评估的组合来创建DR计划。 灾害恢复计划过程将灾难恢复计划列为每个灾难恢复计划的复制策略 - 架构组合分类，并标记每个灾难恢复计划的推荐程度。
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4.发明授权公开(公告)号：US08539071B2
公开(公告)日：2013-09-17
申请号：US13467654
申请日：2012-05-09
IPC分类号： G06F15/173
CPC分类号： H04L63/10 , G06F3/0613 , G06F3/0635 , G06F3/067 , H04L67/1097 , H04L69/32
摘要： A method is implemented in a computer infrastructure having computer executable code tangibly embodied on a computer readable storage medium having programming instructions. The programming instructions are operable to determine one or more optimal mappings between a server layer and a storage layer through a network layer based on performance metrics of one or more ports of at least one of the server layer, the storage layer and the network layer.
摘要翻译： 在具有计算机可执行代码的计算机基础设施中实现一种方法，其有形地体现在具有编程指令的计算机可读存储介质上。 编程指令可操作以基于服务器层，存储层和网络层中的至少一个的一个或多个端口的性能度量，通过网络层确定服务器层和存储层之间的一个或多个最优映射。
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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.
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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。
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公开(公告)号：US20120271678A1
公开(公告)日：2012-10-25
申请号：US13541440
申请日：2012-07-03
IPC分类号： G06Q10/06
CPC分类号： G06Q30/04 , G06Q10/06 , G06Q30/0283
摘要： Minimizing cost chargeback in an information technology (IT) computing environment including multiple resources. One implementation involves determining time-based usage patterns and allocation statistics for a plurality of resources and associated resource workloads. Using a regression function for determining a correlation of response time with resource usages and outstanding input/output instructions for the plurality of resources. Based on the time-based usage patterns, allocation statistics and the correlation, deriving an interpolation using positive and negative integrals to minimize a difference between allocated resource values and average allocation values. Determining service level objectives (SLOs) and resource allocation for minimizing cost chargeback for the resource workloads based on the derived interpolation.
摘要翻译： 在包括多种资源在内的信息技术（IT）计算环境中最大限度地降低成本。 一个实现涉及为多个资源和相关联的资源工作负载确定基于时间的使用模式和分配统计。 使用回归函数来确定响应时间与资源使用的相关性以及用于多个资源的未完成的输入/输出指令。 基于时间使用模式，分配统计和相关性，使用正负积分导出内插，以最小化分配的资源值与平均分配值之间的差异。 确定服务水平目标（SLO）和资源分配，以根据导出的插值来最大限度地降低资源负担的成本。
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8.发明申请Proactive Detection of Data Inconsistencies in a Storage System Point-in-Time Copy of Data 有权主动检测存储系统中的数据不一致数据的时间点副本公开(公告)号：US20110295815A1
公开(公告)日：2011-12-01
申请号：US12788026
申请日：2010-05-26
IPC分类号： G06F17/30
CPC分类号： G06F11/1004
摘要： Embodiments of the invention relate to testing a storage system point-in-time copy of data for consistency. An aspect of the invention includes receiving system and application event information from systems and applications associated with point-in-time copies of data. The system and application event information is associated with each of point-in-time copies of data. At least one point-in-time copy of data is selected for testing. The system and application event information is compared with inconsistency classes to determine tests for testing the point-in-time copy of data. The point-in-time copy of data is tested.
摘要翻译： 本发明的实施例涉及测试用于一致性的数据的存储系统时间点副本。 本发明的一个方面包括从与数据的时间点副本相关联的系统和应用接收系统和应用事件信息。 系统和应用事件信息与数据的每个时间点副本相关联。 选择至少一个时间点的数据副本进行测试。 将系统和应用程序事件信息与不一致类进行比较，以确定测试数据的时间点副本。 测试数据的时间点副本。
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9.发明授权Proactive detection of data inconsistencies in a storage system point-in-time copy of data 有权主动检测存储系统中数据不一致的时间点数据副本公开(公告)号：US08818962B2
公开(公告)日：2014-08-26
申请号：US12788026
申请日：2010-05-26
CPC分类号： G06F11/1004
摘要： Embodiments of the invention relate to testing a storage system point-in-time copy of data for consistency. An aspect of the invention includes receiving system and application event information from systems and applications associated with point-in-time copies of data. The system and application event information is associated with each of point-in-time copies of data. At least one point-in-time copy of data is selected for testing. The system and application event information is compared with inconsistency classes to determine tests for testing the point-in-time copy of data. The point-in-time copy of data is tested.
摘要翻译： 本发明的实施例涉及测试用于一致性的数据的存储系统时间点副本。 本发明的一个方面包括从与数据的时间点副本相关联的系统和应用接收系统和应用事件信息。 系统和应用事件信息与数据的每个时间点副本相关联。 选择至少一个时间点的数据副本进行测试。 将系统和应用程序事件信息与不一致类进行比较，以确定测试数据的时间点副本。 测试数据的时间点副本。
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10.发明授权公开(公告)号：US08515792B2
公开(公告)日：2013-08-20
申请号：US12567538
申请日：2009-09-25
IPC分类号： G06Q10/00
摘要： The invention provides a system and method for chargeback cost allocation in an information technology (IT) system including multiple resources. The method includes categorizing cost attributes of different resources into multiple levels defining a cost attribute hierarchy, defining different chargeback groups for resources with similar cost attributes and chargeback policies at different levels of the hierarchy, and performing chargeback cost allocation by allocating the cost for resources at each hierarchy level independently using chargeback policies defined for the resources at that hierarchy level.
摘要翻译： 本发明提供了一种包括多个资源的信息技术（IT）系统中的拒付成本分配的系统和方法。 该方法包括将不同资源的成本属性划分成多个级别，定义成本属性层次，为具有相似成本属性的资源定义不同的拒付组，并且在不同级别的不同级别对退款策略进行定义，并通过分配资源成本来执行退款成本分配 每个层次级别独立地使用为该层次级别的资源定义的退款策略。
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