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公开(公告)号：US20110078695A1
公开(公告)日：2011-03-31
申请号：US12567582
申请日：2009-09-25
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。
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22.发明授权公开(公告)号：US07711520B2
公开(公告)日：2010-05-04
申请号：US12116506
申请日：2008-05-07
IPC分类号： G06F11/30
CPC分类号： H04L43/16 , G06F11/3409 , G06F11/3452 , G06F11/3495 , G06F2201/81 , H04L41/046 , H04L41/5003 , H04L43/0817 , H04L43/0829 , H04L43/0852 , H04L43/0888 , H04L43/0894 , H04L67/1097
摘要： Disclosed is an autonomic abnormality detection device having a plurality of agents, a server with a one or more processors, a data storage device and a corrective actions engine. The device is adapted to detect and diagnose abnormalities in system components. Particularly, the device uses agents to track performance/workload measurements of system components and dynamically compiles a history of those performance/workload measurements for each component. In order to detect abnormalities a processor compares current performance/workload measurements for a component to the compiled histories for that component and for other components. The processor can further be adapted to determine possible causes of a detected abnormality and to report the abnormality, including the possible causes, to a corrective actions engine.
摘要翻译： 公开了具有多个代理的自主异常检测装置，具有一个或多个处理器的服务器，数据存储装置和纠正动作引擎。 该设备适用于检测和诊断系统组件中的异常。 特别地，该设备使用代理跟踪系统组件的性能/工作负载测量，并动态编译每个组件的性能/工作负载测量的历史记录。 为了检测异常，处理器将组件的当前性能/工作负载测量结果与该组件和其他组件的已编译历史进行比较。 处理器还可以适于确定检测到的异常的可能原因，并将包括可能的原因的异常报告给校正动作引擎。
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公开(公告)号：US20080195404A1
公开(公告)日：2008-08-14
申请号：US11674197
申请日：2007-02-13
IPC分类号： G06Q99/00
CPC分类号： G06Q10/06
摘要： The embodiments of the invention provide methods, computer program products, etc. for complaint-based service level objectives. More specifically, a method of deducing undefined service level objectives receives complaints regarding behavior of a system. The complaints could include a severity parameter, an entity parameter, a nature-of-complaint parameter, a timestamp parameter, and/or an identification parameter. Next, system details representing a current state of the system are recorded for each of the complaints. The method then automatically analyzes a history of the system details and the complaints to produce a historical compilation of the system details. The analyzing can include weighing each of the system details by a severity parameter value.
摘要翻译： 本发明的实施例提供了用于基于投诉的服务水平目标的方法，计算机程序产品等。 更具体地说，推导未定义的服务级别目标的方法接收关于系统行为的投诉。 投诉可以包括严重性参数，实体参数，投诉性质参数，时间戳参数和/或识别参数。 接下来，针对每个投诉记录表示系统的当前状态的系统细节。 然后，该方法自动分析系统细节和投诉的历史，以生成系统细节的历史编辑。 分析可以包括通过严重性参数值称量每个系统细节。
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公开(公告)号：US09323639B2
公开(公告)日：2016-04-26
申请号：US12556629
申请日：2009-09-10
CPC分类号： G06F9/5027 , G06F11/3409 , G06F19/00 , G06F2201/885 , G06F2209/503 , H04L41/14
摘要： A method, system, and article are provided for managing performance of a computer system. Both implicit and explicit recommendations for processing of tasks are provided. System performance is tracked and evaluated based upon the actions associated with the task. Future recommendations of the same or other tasks are provided based upon implicit feedback pertaining to system performance, and explicit feedback solicited from a system administrator.
摘要翻译： 提供了一种方法，系统和文章来管理计算机系统的性能。 提供了处理任务的隐式和明确建议。 基于与任务相关联的动作跟踪和评估系统性能。 基于与系统性能有关的隐含反馈以及从系统管理员征求的明确反馈来提供相同或其他任务的未来建议。
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公开(公告)号：US08781800B2
公开(公告)日：2014-07-15
申请号：US13286490
申请日：2011-11-01
申请人： Kavita Chavda , Eric W. Davis Rozier , Nagapramod S. Mandagere , Sandeep M. Uttamchandani , Pin Zhou
发明人： Kavita Chavda , Eric W. Davis Rozier , Nagapramod S. Mandagere , Sandeep M. Uttamchandani , Pin Zhou
IPC分类号： G06F17/10
CPC分类号： G06F7/00 , G06F17/30159
摘要： Embodiments of the present invention provide an approach that utilizes discrete event simulation to quantitatively analyze the reliability of a modeled de-duplication system in a computer storage environment. In addition, the approach described herein can perform such an analysis on systems having heterogeneous data stored on heterogeneous storage systems in the presence of primary faults and their secondary effects due to de-duplication. In a typical embodiment, data de-duplication parameters and a hardware configuration are received in a computer storage medium. A data de-duplication model is then applied to a set of data and to the data de-duplication parameters, and a hardware reliability model is applied to the hardware configuration. Then a set (at least one) of discrete events is simulated based on the data de-duplication model as applied to the set of data and the data de-duplication parameters, and the hardware reliability model as applied to the hardware configuration. Based on the simulation, a set of data reliability and availability estimations/estimates can be generated (e.g., and outputted/provided).
摘要翻译： 本发明的实施例提供一种利用离散事件模拟来定量分析计算机存储环境中的建模的重复数据删除系统的可靠性的方法。 另外，本文描述的方法可以在存在主异构存在的异构存储系统上的具有异构数据的系统上进行这种分析，并且由于重复数据删除而产生其次要效应。 在典型的实施例中，在计算机存储介质中接收数据重复数据删除参数和硬件配置。 然后将数据重复数据删除模型应用于一组数据和重复数据删除参数，并将硬件可靠性模型应用于硬件配置。 然后基于应用于数据集和数据重复数据删除参数的数据重复数据删除模型以及应用于硬件配置的硬件可靠性模型来模拟一组（至少一个）离散事件。 基于该仿真，可以生成（例如和输出/提供）一组数据可靠性和可用性估计/估计。
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26.发明授权Continuous optimization of archive management scheduling by use of integrated content-resource analytic model 失效通过使用综合内容资源分析模型持续优化归档管理调度公开(公告)号：US08527998B2
公开(公告)日：2013-09-03
申请号：US13569620
申请日：2012-08-08
申请人： Brian Cho , Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
发明人： Brian Cho , Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
CPC分类号： G06F9/4881 , G06F11/1402
摘要： A system and associated method for continuously optimizing data archive management scheduling. A job scheduler receives, from an archive management system, inputs of task information, replica placement data, infrastructure topology data, and resource performance data. The job scheduler models a flow network that represents data content, software programs, physical devices, and communication capacity of the archive management system in various levels of vertices according to the received inputs. An optimal path in the modeled flow network is computed as an initial schedule, and the archive management system performs tasks according to the initial schedule. The operations of scheduled tasks are monitored and the job scheduler produces a new schedule based on feedbacks of the monitored operations and predefined heuristics.
摘要翻译： 一种用于连续优化数据归档管理调度的系统和相关方法。 作业调度器从归档管理系统接收任务信息，副本放置数据，基础架构拓扑数据和资源性能数据的输入。 作业调度器根据接收到的输入来建立表示数据内容，软件程序，物理设备和档案管理系统在各种顶点级别中的通信能力的流网络。 模拟流网络中的最优路径计算为初始调度，归档管理系统根据初始调度执行任务。 监视计划任务的操作，作业调度程序根据监视的操作和预定义的启发式反馈来生成新的调度。
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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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28.发明申请公开(公告)号：US20120221745A1
公开(公告)日：2012-08-30
申请号：US13467654
申请日：2012-05-09
IPC分类号： G06F15/16
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：US20120109907A1
公开(公告)日：2012-05-03
申请号：US12916524
申请日：2010-10-30
IPC分类号： G06F17/30
CPC分类号： G06F16/215
摘要： Embodiments of the invention relate to performing on-demand data deduplication for managing data and storage space. Redundant data in a system is detected. Availability of data storage space in the system is periodically evaluated. Performance parameters of the system are evaluated. Detected redundant data is selected based on the data storage availability and performance parameters of the system. If at least a portion of the selected redundant data is to be deduplicated is determined.
摘要翻译： 本发明的实施例涉及执行用于管理数据和存储空间的按需重复数据删除。 检测到系统中的冗余数据。 定期评估系统中数据存储空间的可用性。 对系统的性能参数进行评估。 根据系统的数据存储可用性和性能参数选择检测到的冗余数据。 如果确定了所选择的冗余数据的至少一部分被重复数据消除。
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30.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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