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1. 发明申请

US20110238672A1 COST AND POWER EFFICIENT STORAGE AREA NETWORK PROVISIONING 有权
标题翻译：成本和功率有效的存储区域网络规定
公开(公告)号：US20110238672A1
公开(公告)日：2011-09-29
申请号：US12749435
申请日：2010-03-29
申请人： Sandip Agarwala , Harsha D. Gunatilaka , Ramani R. Routray
发明人： Sandip Agarwala , Harsha D. Gunatilaka , Ramani R. Routray
IPC分类号： G06F17/30
CPC分类号： H04L67/1097
摘要： Various embodiments for efficiently provisioning a storage area network (SAN) are provided. In one embodiment, SAN information is provided to an engine for optimization. The SAN information includes at least one of SAN configuration information, SAN usage information, at least one cost profile, and at least one chargeback model. Based on the SAN information, those of an available plurality of storage resources not meeting at least one storage criterion are filtered. The filtered storage resources are ranked on a cost basis. A resource configuration graph is constructed based on the ranked storage resources. The resource configuration graph is traversed to obtain a plurality of possible SAN configuration plans. At least one power profile is applied to the plurality of possible SAN configuration plans to rank the plurality of possible SAN configuration plans by energy consumption.
摘要翻译：提供了用于有效地配置存储区域网络（SAN）的各种实施例。在一个实施例中，SAN信息被提供给发动机以进行优化。 SAN信息包括SAN配置信息，SAN使用信息，至少一个成本简档和至少一个退款模型中的至少一个。基于SAN信息，过滤不符合至少一个存储标准的可用多个存储资源的SAN信息。过滤的存储资源按成本排列。基于排名的存储资源构建资源配置图。遍历资源配置图以获得多个可能的SAN配置计划。至少一个功率配置文件被应用于多个可能的SAN配置计划，以通过能量消耗对多个可能的SAN配置计划进行排序。

2. 发明授权

US08515967B2 Cost and power efficient storage area network provisioning 有权
标题翻译：成本高效的存储区域网络配置
公开(公告)号：US08515967B2
公开(公告)日：2013-08-20
申请号：US12749435
申请日：2010-03-29
申请人： Sandip Agarwala , Harsha D. Gunatilaka , Ramani R. Routray
发明人： Sandip Agarwala , Harsha D. Gunatilaka , Ramani R. Routray
IPC分类号： G06F7/00
CPC分类号： H04L67/1097
摘要： Various embodiments for efficiently provisioning a storage area network (SAN) are provided. In one embodiment, SAN information is provided to an engine for optimization. The SAN information includes at least one of SAN configuration information, SAN usage information, at least one cost profile, and at least one chargeback model. Based on the SAN information, those of an available plurality of storage resources not meeting at least one storage criterion are filtered. The filtered storage resources are ranked on a cost basis. A resource configuration graph is constructed based on the ranked storage resources. The resource configuration graph is traversed to obtain a plurality of possible SAN configuration plans. At least one power profile is applied to the plurality of possible SAN configuration plans to rank the plurality of possible SAN configuration plans by energy consumption.
摘要翻译：提供了用于有效地配置存储区域网络（SAN）的各种实施例。在一个实施例中，SAN信息被提供给发动机以进行优化。 SAN信息包括SAN配置信息，SAN使用信息，至少一个成本简档和至少一个退款模型中的至少一个。基于SAN信息，过滤不符合至少一个存储标准的可用多个存储资源的SAN信息。过滤的存储资源按成本排列。基于排名的存储资源构建资源配置图。遍历资源配置图以获得多个可能的SAN配置计划。至少一个功率配置文件被应用于多个可能的SAN配置计划，以通过能量消耗对多个可能的SAN配置计划进行排序。

3. 发明申请

US20120271678A1 CHARGEBACK REDUCTION PLANNING FOR INFORMATION TECHNOLOGY MANAGEMENT 审中-公开
标题翻译：信息技术管理减免计划
公开(公告)号：US20120271678A1
公开(公告)日：2012-10-25
申请号：US13541440
申请日：2012-07-03
申请人： Sandip Agarwala , Ramani R. Routray , Sandeep M. Uttamchandani
发明人： Sandip Agarwala , Ramani R. Routray , Sandeep M. Uttamchandani
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。

4. 发明授权

US08250582B2 Chargeback reduction planning for information technology management 失效
标题翻译：信息技术管理的退款计划
公开(公告)号：US08250582B2
公开(公告)日：2012-08-21
申请号：US12567582
申请日：2009-09-25
申请人： Sandip Agarwala , Ramani R. Routray , Sandeep M. Uttamchandani
发明人： Sandip Agarwala , Ramani R. Routray , Sandeep M. Uttamchandani
IPC分类号： G06F9/46 , G06F15/173
CPC分类号： G06Q30/04 , G06Q10/06 , G06Q30/0283
摘要： Reducing cost chargeback in an information technology (IT) computing environment including multiple resources, is provided. One implementation involves a process wherein resource usage and allocation statistics are stored for a multitude of resources and associated cost policies. Then, time-based usage patterns are determined for the resources from the statistics. A correlation of response time with resource usages and outstanding input/output instructions for the resources is determined. Based on usage patterns and the correlation, a multitude of potential cost reduction recommendations are determined. Further, a multitude of integrals are obtained based on the potential cost reduction recommendations, and a statistical integral is obtained based on the statistics. A difference between the statistical integral and each of the multiple integrals is obtained and compared with a threshold to determine potential final cost reduction recommendations. A final cost reduction recommendation is then selected from the potential cost reduction recommendations.
摘要翻译：提供了包括多种资源在内的信息技术（IT）计算环境中降低成本退款。一个实现涉及一种过程，其中针对多个资源和相关联的成本策略来存储资源使用和分配统计。然后，根据统计资料确定基于时间的使用模式。确定响应时间与资源利用率和资源的未完成输入/输出指令的相关性。根据使用模式和相关性，确定了大量潜在的降低成本的建议。此外，基于潜在的成本降低建议获得了大量的积分，并且基于统计获得统计积分。获得统计积分和每个多重积分之间的差异，并将其与阈值进行比较，以确定潜在的最终成本降低建议。然后从潜在的成本降低建议中选择最终的成本降低建议。

5. 发明授权

US08515792B2 Method and system for chargeback allocation in information technology systems 有权
标题翻译：信息技术系统中的退款分配方法与系统
公开(公告)号：US08515792B2
公开(公告)日：2013-08-20
申请号：US12567538
申请日：2009-09-25
申请人： Sandip Agarwala , Ramani R. Routray , Sandeep M. Uttamchandani
发明人： Sandip Agarwala , Ramani R. Routray , Sandeep M. Uttamchandani
IPC分类号： G06Q10/00
CPC分类号： G06Q40/02 , G06Q30/04 , G06Q40/12
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。

6. 发明申请

US20110078695A1 CHARGEBACK REDUCTION PLANNING FOR INFORMATION TECHNOLOGY MANAGEMENT 失效
标题翻译：信息技术管理减免计划
公开(公告)号：US20110078695A1
公开(公告)日：2011-03-31
申请号：US12567582
申请日：2009-09-25
申请人： Sandip Agarwala , Ramani R. Routray , Sandeep M. Uttamchandani
发明人： Sandip Agarwala , Ramani R. Routray , Sandeep M. Uttamchandani
IPC分类号： G06F9/46
CPC分类号： G06Q30/04 , G06Q10/06 , G06Q30/0283
摘要： Reducing cost chargeback in an information technology (IT) computing environment including multiple resources, is provided. One implementation involves a process wherein resource usage and allocation statistics are stored for a multitude of resources and associated cost policies. Then, time-based usage patterns are determined for the resources from the statistics. A correlation of response time with resource usages and outstanding input/output instructions for the resources is determined. Based on usage patterns and the correlation, a multitude of potential cost reduction recommendations are determined. Further, a multitude of integrals are obtained based on the potential cost reduction recommendations, and a statistical integral is obtained based on the statistics. A difference between the statistical integral and each of the multiple integrals is obtained and compared with a threshold to determine potential final cost reduction recommendations. A final cost reduction recommendation is then selected from the potential cost reduction recommendations.
摘要翻译：提供了包括多种资源在内的信息技术（IT）计算环境中降低成本退款。一个实现涉及一种过程，其中针对多个资源和相关联的成本策略来存储资源使用和分配统计。然后，根据统计资料确定基于时间的使用模式。确定响应时间与资源利用率和资源的未完成输入/输出指令的相关性。根据使用模式和相关性，确定了大量潜在的降低成本的建议。此外，基于潜在的成本降低建议获得了大量的积分，并且基于统计获得统计积分。获得统计积分和每个多重积分之间的差异，并将其与阈值进行比较，以确定潜在的最终成本降低建议。然后从潜在的成本降低建议中选择最终的成本降低建议。

7. 发明授权

US08554917B2 Performance isolation for storage clouds 有权
标题翻译：存储云的性能隔离
公开(公告)号：US08554917B2
公开(公告)日：2013-10-08
申请号：US12859788
申请日：2010-08-20
申请人： Sandip Agarwala , Richard J. Ayala, Jr. , Sandeep Gopisetty , Seshashayee S. Murthy
发明人： Sandip Agarwala , Richard J. Ayala, Jr. , Sandeep Gopisetty , Seshashayee S. Murthy
IPC分类号： G06F15/173
CPC分类号： G06F3/0689 , G06F3/0619 , G06F3/0665 , G06F9/5072
摘要： Embodiments of the present invention provide performance isolation for storage clouds. Under one embodiment, workloads across a storage cloud architecture are grouped into clusters based on administrator or system input. A performance isolation domain is then created for each of the clusters, with each of the performance isolation domains comprising a set of data stores associated with a set of storage subsystems and a set of data paths that connect the set of data stores to a set of clients. Thereafter, performance isolation is provided among a set of layers of the performance isolation domains. Such performance isolation is provided by (among other things): pooling data stores from separate performance isolation domains into separate pools; assigning the pools to device adapters, RAID controller, and the set of storage subsystems; preventing workloads on the device adapters from exceeding capacities of the device adapters; mapping the set of data stores to a set of Input/Output (I/O) servers based on an I/O capacity and I/O load of the set of I/O servers; and/or pairing ports of the set of I/O servers with ports of the set of storage subsystems, the pairing being based upon availability, connectivity, I/O load, and I/O capacity.
摘要翻译：本发明的实施例提供了用于存储云的性能隔离。在一个实施例中，跨存储云架构的工作负载基于管理员或系统输入被分组成群集。然后为每个集群创建性能隔离域，其中每个性能隔离域包括与一组存储子系统相关联的一组数据存储以及将该组数据存储连接到一组数据路径的一组数据路径客户。此后，在性能隔离域的一组层中提供性能隔离。这种性能隔离由（除其他外）提供：将数据存储从单独的性能隔离域集中到单独的池中; 将池分配给设备适配器，RAID控制器和一组存储子系统; 防止设备适配器上的工作负载超过设备适配器的容量; 基于一组I / O服务器的I / O容量和I / O负载，将数据存储集映射到一组输入/输出（I / O）服务器; 和/或将该组I / O服务器的端口与该组存储子系统的端口配对，该配对基于可用性，连接性，I / O负载和I / O容量。

8. 发明申请

US20120054181A1 ONLINE MANAGEMENT OF HISTORICAL DATA FOR EFFICIENT REPORTING AND ANALYTICS 有权
标题翻译：有效报告和分析的历史数据在线管理
公开(公告)号：US20120054181A1
公开(公告)日：2012-03-01
申请号：US12872964
申请日：2010-08-31
申请人： Sandip Agarwala , Sandeep Gopisetty , Stefan Jaquel
发明人： Sandip Agarwala , Sandeep Gopisetty , Stefan Jaquel
IPC分类号： 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，一种用于计算历史数据的统计量的方法包括访问历史数据的至少一个在线流，包括元数据的历史数据的在线流，以及从至少一个历史数据的在线流创建数据块。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。

9. 发明授权

US08756310B2 Comprehensive bottleneck detection in a multi-tier enterprise storage system 失效
标题翻译：多层企业存储系统的综合瓶颈检测
公开(公告)号：US08756310B2
公开(公告)日：2014-06-17
申请号：US13044048
申请日：2011-03-09
申请人： Sandip Agarwala , David P. Goodman , Sandeep Gopisetty , David D. Weck
发明人： Sandip Agarwala , David P. Goodman , Sandeep Gopisetty , David D. Weck
IPC分类号： G06F15/173
CPC分类号： H04L47/11 , G06F9/5072 , G06F11/3442 , G06F11/3495 , H04L41/147 , H04L43/0882
摘要： Embodiments of the present invention provide approaches (e.g., online methods) to analyze end-to-end performance issues in a multi-tier enterprise storage system (ESS), such as a storage cloud, where data may be distributed across multiple storage components. Specifically, performance and configuration data from different storage components (e.g., nodes) is collected and analyzed to identify nodes that are becoming (or may become) performance bottlenecks. In a typical embodiment, a set of components distributed among a set of tiers of an ESS is identified. For each component, a total capacity and a current load are determined. Based on these values, a utilization of each component is determined. Comparison of the utilization with a predetermined threshold and/or analysis of historical data allows one or more components causing a bottleneck to be identified.
摘要翻译：本发明的实施例提供了分析多层企业存储系统（ESS）（诸如存储云）中的端到端性能问题的方法（例如在线方法），其中数据可以分布在多个存储组件上。具体地，收集和分析来自不同存储组件（例如，节点）的性能和配置数据以识别正在（或可能成为）性能瓶颈的节点。在典型的实施例中，识别分布在一组ESS中的一组分量。对于每个组件，确定总容量和当前负载。基于这些值，确定每个组件的利用率。将利用率与预定阈值进行比较和/或历史数据分析允许识别出瓶颈的一个或多个组件。

10. 发明申请

US20110077997A1 METHOD AND SYSTEM FOR CHARGEBACK ALLOCATION IN INFORMATION TECHNOLOGY SYSTEMS 有权
标题翻译：信息技术系统中充值分配的方法与系统
公开(公告)号：US20110077997A1
公开(公告)日：2011-03-31
申请号：US12567538
申请日：2009-09-25
申请人： Sandip Agarwala , Ramani Ranjan Routray , Sandeep Madhay Uttamchandani
发明人： Sandip Agarwala , Ramani Ranjan Routray , Sandeep Madhay Uttamchandani
IPC分类号： G06Q10/00 , G06Q30/00 , G06Q50/00
CPC分类号： G06Q40/02 , G06Q30/04 , G06Q40/12
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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