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    • 2. 发明授权
    • Task driven context-aware search
    • 任务驱动的上下文感知搜索
    • US08762374B1
    • 2014-06-24
    • US12751405
    • 2010-03-31
    • Jidong ChenHang GuoDavid Stephen Reiner
    • Jidong ChenHang GuoDavid Stephen Reiner
    • G06F17/30
    • G06N3/0472G06F17/30864G06F17/30867G06N5/048
    • A processing device of an information processing system is configured to detect bursts of activity associated with a particular user, to map the bursts to tasks performed by the user, to generate a user model based on the mapping of bursts to tasks, and to provide personalized query processing to the user based on the user model. The user model may comprise a Hidden Markov Model. In one embodiment, a query is received from the user in a current time window, and a model parameter is obtained. Based on the model parameter, a most likely task for the user in the current time window is identified, and based on the query, the most likely task, and user classification, search results are ranked for presentation to the user. The processing device may be configured to communicate the user model to a cloud service provider, and to receive from the cloud service provider the ranked search results determined based on the user model.
    • 信息处理系统的处理设备被配置为检测与特定用户相关联的活动突发,将突发映射到由用户执行的任务,以基于突发到任务的映射来生成用户模型,并且提供个性化 基于用户模型向用户查询处理。 用户模型可以包括隐马尔可夫模型。 在一个实施例中,在当前时间窗口中从用户接收到查询,并获得模型参数。 基于模型参数,识别当前时间窗口中用户最可能的任务,并且基于查询,最可能的任务和用户分类,搜索结果被排序以呈现给用户。 处理设备可以被配置为将用户模型传送到云服务提供商,并且从云服务提供商接收基于用户模型确定的排名的搜索结果。
    • 3. 发明授权
    • Adaptive optimization across information technology infrastructure
    • 跨信息技术基础设施的自适应优化
    • US08468241B1
    • 2013-06-18
    • US13077376
    • 2011-03-31
    • Helen S. RaizenDavid Stephen ReinerRobert J. PellowskiHarold M. SandstromHarrison K. Roberts
    • Helen S. RaizenDavid Stephen ReinerRobert J. PellowskiHarold M. SandstromHarrison K. Roberts
    • G06F15/16
    • G06F11/3495G06F11/3055G06F11/3409G06F2201/815H04L41/5096
    • A processing platform comprises at least one server, computer or other processing device having a processor coupled to a memory, and implements a plurality of modules for adaptive optimization across an information technology (IT) infrastructure. The modules include a collector configured to gather information from the infrastructure, an analyzer coupled to the collector and configured to analyze the information gathered by the collector, a policy module specifying a plurality of policy sets, and a controller that is coupled to the collector, the analyzer and the policy module. The controller is configured to adjust one or more parameters of the infrastructure via corresponding control points. Associated with the analyzer is a situational analysis framework configured to periodically select and deploy for use by the controller a particular one of the specified plurality of policy sets responsive to changing operating conditions of the infrastructure. The infrastructure may comprise a virtual data center (VDC) or other type of virtual infrastructure.
    • 处理平台包括至少一个具有耦合到存储器的处理器的服务器,计算机或其他处理设备,并且实现用于信息技术(IT)基础设施的自适应优化的多个模块。 所述模块包括被配置为从所述基础设施收集信息的收集器,耦合到所述收集器并被配置为分析由所述收集器收集的信息的策略模块,指定多个策略集合的策略模块以及耦合到所述收集器的控制器, 分析仪和策略模块。 控制器被配置为通过相应的控制点来调整基础设施的一个或多个参数。 与分析器相关联的是情景分析框架,其被配置为响应于基础设施的变化的操作条件周期性地选择和部署以供由控制器使用的指定的多个策略集中的特定的一个。 基础设施可以包括虚拟数据中心(VDC)或其他类型的虚拟基础设施。
    • 4. 发明授权
    • Dynamic information assembly for designated purpose based on suitability reasoning over metadata
    • 基于对元数据的适用性推理的指定目的的动态信息组合
    • US09141908B1
    • 2015-09-22
    • US13538219
    • 2012-06-29
    • David Stephen ReinerNihar NandaJohn Daniel Hushon
    • David Stephen ReinerNihar NandaJohn Daniel Hushon
    • G06N5/02
    • G06N5/02
    • A reasoning system is configured to interact with data processing elements of an information processing system. The reasoning system includes a reasoning module configured to perform one or more reasoning operations on metadata. The metadata characterizes data sets associated with the data processing elements in order to identify at least selected portions of one or more of the data sets as being suitable for use in achieving a designated purpose. The reasoning system also includes a dynamic information assembly module configured to utilize results of the one or more reasoning operations to assemble at least a subset of the selected portions so as to achieve the designated purpose. The reasoning system and associated data processing elements may be implemented, by way of example, in cloud infrastructure of a cloud service provider, or on another type of processing platform.
    • 推理系统被配置为与信息处理系统的数据处理元件交互。 推理系统包括被配置为对元数据执行一个或多个推理操作的推理模块。 元数据表征与数据处理元件相关联的数据集,以便将至少一个或多个数据集的所选部分识别为适于用于实现指定目的。 推理系统还包括被配置为利用一个或多个推理操作的结果来组装所选部分的至少一个子集以便实现指定目的的动态信息组合模块。 推理系统和相关联的数据处理元件可以例如在云服务提供商的云基础设施中或在另一类型的处理平台上实现。
    • 5. 发明授权
    • Cluster-based classification of high-resolution data
    • 基于群集的高分辨率数据分类
    • US08873836B1
    • 2014-10-28
    • US13538365
    • 2012-06-29
    • David DietrichMilind BhandarkarDavid Stephen Reiner
    • David DietrichMilind BhandarkarDavid Stephen Reiner
    • G06K9/00G06K9/62
    • G06K9/6267G06K9/00973
    • Classification of images or other types of high-resolution data is performed by a cluster-based data classification system. The system comprises a learner module, a classification director, and a complex classifier comprising a plurality of multi-outcome data classifiers. The classification director determines particular process rules and settings to be applied to a classification request, and the complex classifier is instantiated to process the classification request in accordance with the process rules and settings determined by the classification director. The process rules and settings are adapted under control of the learner module at least in part based on results obtained in processing the classification request and one or more additional classification requests. The cluster-based data classification system may be implemented on a processing platform comprising at least one Hadoop cluster, such that the classification is performed in a parallel manner across multiple processing devices utilizing MapReduce processing.
    • 图像或其他类型的高分辨率数据的分类由基于群集的数据分类系统执行。 该系统包括学习者模块,分类指导器和包括多个多成果数据分类器的复合分类器。 分类指导员确定要应用于分类请求的特定处理规则和设置,并且复制分类器被实例化以根据由分类主管确定的过程规则和设置来处理分类请求。 至少部分基于在处理分类请求和一个或多个附加分类请求中获得的结果,在学习者模块的控制下调整过程规则和设置。 基于簇的数据分类系统可以在包括至少一个Hadoop集群的处理平台上实现,使得利用MapReduce处理跨多个处理设备以并行方式执行分类。
    • 6. 发明授权
    • Data storage system having associated situational analysis framework for automatic response to movement in a state space
    • 数据存储系统具有相关的状态分析框架,用于自动响应状态空间中的运动
    • US08443157B1
    • 2013-05-14
    • US12639668
    • 2009-12-16
    • David Stephen Reiner
    • David Stephen Reiner
    • G06F12/00
    • G06F3/0605G06F3/0632G06F3/0653G06F3/067G06F3/0685
    • The operation of a data storage system is controlled by determining dimensions of a situational state space characterizing operating conditions of the data storage system, associating policy sets with respective states of the state space, monitoring system operation in the state space, selecting a particular one of the policy sets based on an identified current state in the state space, and controlling the operation of the system in accordance with the selected policy set. These operations are performed by a processing device incorporated in or otherwise associated with the system, with the processing device implementing a situational analysis framework comprising a learning module coupled to a production module. The situational analysis framework may be part of a policy engine. The dimensions of the situational state space in an illustrative embodiment may comprise two or more dimensions selected from one or more dimension categories such as load, performance, time and event state.
    • 数据存储系统的操作通过确定表征数据存储系统的操作条件的情境状态空间的维度来控制,将策略集与状态空间的各自状态相关联,状态空间中的监视系统操作, 所述策略基于所述状态空间中的所识别的当前状态,并且根据所选择的策略集来控制所述系统的操作。 这些操作由并入或与系统相关联的处理设备执行,处理设备实现包括耦合到生产模块的学习模块的情境分析框架。 情境分析框架可能是政策引擎的一部分。 说明性实施例中情境状态空间的尺寸可以包括从一个或多个维度类别(例如负载,性能,时间和事件状态)中选择的两个或多个维度。
    • 7. 发明授权
    • Managing data sets by reasoning over captured metadata
    • 通过推断捕获的元数据来管理数据集
    • US08838556B1
    • 2014-09-16
    • US13336613
    • 2011-12-23
    • David Stephen ReinerNihar NandaJohn Daniel Hushon
    • David Stephen ReinerNihar NandaJohn Daniel Hushon
    • G06F7/00G06F17/00
    • G06F17/30994
    • A data set manager is configured to interact with data processing elements of an information processing system. The data set manager comprises a metadata capture module configured to access or otherwise obtain metadata characterizing data sets associated with the data processing elements, a reasoning module configured to perform one or more reasoning operations on the metadata, and an action recommendation module configured to identify one or more recommended actions for the data processing elements based at least in part on results of the reasoning operations. The metadata characterizes properties of the data sets and relationships among the data sets, and may be defined in accordance with at least one of a specified ontology and a specified class. The data set manager and associated data processing elements may be implemented, by way of example, in cloud infrastructure of a cloud service provider, or on another type of processing platform.
    • 数据集管理器被配置为与信息处理系统的数据处理元件交互。 所述数据集管理器包括被配置为访问或以其他方式获得与所述数据处理元件相关联的表征数据集的元数据捕获模块,所述推理模块被配置为对所述元数据执行一个或多个推理操作,以及动作推荐模块,被配置为识别一个 或至少部分地基于推理操作的结果的数据处理元件的更多推荐的操作。 元数据表征数据集的属性和数据集之间的关系,并且可以根据指定的本体和指定的类中的至少一个来定义。 数据集管理器和相关联的数据处理元件可以例如在云服务提供商的云基础设施中或在另一类型的处理平台上实现。
    • 8. 发明授权
    • Classifying situations for system management
    • 分类系统管理情况
    • US08725869B1
    • 2014-05-13
    • US13250310
    • 2011-09-30
    • David Stephen ReinerStephen G. GrahamStephen Todd
    • David Stephen ReinerStephen G. GrahamStephen Todd
    • G06F15/173G08B5/22
    • G06F9/5072
    • An information processing system comprises a system management tool, a managed system and a classifier. The system management tool receives a result of a situation classification operation from the classifier, and automatically takes a management action relating to the managed system based at least in part on the result of the situation classification operation. The situation classification result may be determined by monitoring operation of the managed system in a situational state space having dimensions that characterize operating conditions of the system, and identifying a current state of the system in the situational state space. The management action automatically taken by the system management tool may comprise, for example, setting at least one policy for the managed system by selecting and deploying a particular one of a plurality of policy sets responsive to the result of the situation classification operation.
    • 信息处理系统包括系统管理工具,被管理系统和分类器。 系统管理工具从分类器接收到状况分类操作的结果,并且至少部分地基于状况分类操作的结果自动地采取与被管理系统相关的管理动作。 可以通过在具有表征系统的操作条件的维度的情境状态空间中监视被管理系统的操作并且识别状态状态空间中的系统的当前状态来确定情况分类结果。 系统管理工具自动采取的管理动作可以包括例如通过根据情况分类操作的结果来选择和部署多个策略集中的特定一个策略集来为被管理系统设置至少一个策略。