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    • 15. 发明授权
    • Delegating application invocation back to client
    • 将应用程序调用委托给客户端
    • US08849897B2
    • 2014-09-30
    • US11941071
    • 2007-11-15
    • Amos OrtalNir NiceAshwin PalekarCraig Alan NelsonParesh Ramchandra Haridas
    • Amos OrtalNir NiceAshwin PalekarCraig Alan NelsonParesh Ramchandra Haridas
    • G06F15/16
    • G06F9/5027G06F9/451G06F9/452G06F9/5055G06F2209/509
    • Aspects of the subject matter described herein relate to delegating application invocation back to a client. In aspects, a server hosts an application that has a user interface that is presented on a client. User interaction on the user interface is encoded and sent to the server to give to the application. When the user uses the application such that another application is to be executed, a server delegator determines whether to execute the other application on the server or the client. If the application is to be executed on the client, the server delegator instructs a component that executes on the client to execute the application on the client. Otherwise, the application is executed on the server and data representing the user interface of the application is sent to the client so that the client may present the user interface to a user.
    • 本文描述的主题的方面涉及将应用调用委托给客户端。 在方面,服务器托管具有在客户端上呈现的用户界面的应用程序。 用户界面上的用户交互被编码并发送给服务器给予应用程序。 当用户使用应用程序使得另一个应用程序被执行时,服务器委托者确定是否在服务器或客户机上执行其他应用程序。 如果应用程序要在客户机上执行,则服务器委托者指示在客户机上执行的组件在客户机上执行应用程序。 否则,在服务器上执行应用程序,并将表示应用程序的用户界面的数据发送给客户端,以便客户端可以向用户呈现用户界面。
    • 16. 发明授权
    • Large-scale event evaluation using realtime processors
    • 使用实时处理器进行大规模事件评估
    • US08510284B2
    • 2013-08-13
    • US12972575
    • 2010-12-20
    • Nir NiceDaniel SittonDror KremerMichael Feldman
    • Nir NiceDaniel SittonDror KremerMichael Feldman
    • G06F17/30G06F7/00
    • G06F17/30424G06Q30/02G06Q50/01
    • Large-scale event processing systems are often designed to perform data mining operations by storing a large set of events in a massive database, applying complex queries to the records of the events, and generating reports and notifications. However, because such queries are performed on very large data sets, the processing of the queries often introduces a significant delay between the occurrence of the events and the reporting or notification thereof. Instead, a large-scale event processing system may be devised as a large state machine organized according to an evaluation plan, comprising a graph of event processors that, in realtime, evaluate each event in an event stream to update an internal state of the event processor, and to perform responses when response conditions are met. The continuous monitoring and evaluation of the stream of events may therefore enable the event processing system to provide realtime responses and notifications of complex queries.
    • 大型事件处理系统通常被设计为通过将大量事件存储在海量数据库中,将复杂查询应用于事件记录以及生成报告和通知来执行数据挖掘操​​作。 然而,因为这样的查询是在非常大的数据集上执行的,所以查询的处理通常引起事件发生与其报告或通知之间的显着延迟。 相反,大型事件处理系统可以被设计为根据评估计划组织的大型状态机,其包括实时地评估事件流中的每个事件以更新事件的内部状态的事件处理器的图形 处理器,并在满足响应条件时执行响应。 因此,事件流的连续监视和评估可以使得事件处理系统能够提供复杂查询的实时响应和通知。
    • 18. 发明申请
    • FILTERING QUERIED DATA ON DATA STORES
    • 在数据存储中过滤查询数据
    • US20120166447A1
    • 2012-06-28
    • US12979467
    • 2010-12-28
    • Nir NiceDaniel SittonDror KremerMichael Feldman
    • Nir NiceDaniel SittonDror KremerMichael Feldman
    • G06F17/30
    • G06F17/30979G06F17/30445
    • A data set may be distributed over many data stores, and a query may be distributively evaluated by several data stores with the results combined to form a query result (e.g., utilizing a MapReduce framework). However, such architectures may violate security principles by performing sophisticated processing, including the execution of arbitrary code, on the same machines that store the data. Instead of processing queries, a data store may be configured only to receive requests specifying one or more filtering criteria, and to provide the data items satisfying the filtering criteria. A compute node may apply a query by generating a request including one o more filter criteria, providing the request to a data node, and applying the remainder of the query (including sophisticated processing, and potentially the execution of arbitrary code) to the data items provided by the data node, thereby improving the security and efficiency of query processing.
    • 数据集可以分布在许多数据存储上,并且查询可以被多个数据存储分散地评估,结果被组合以形成查询结果(例如,利用MapReduce框架)。 然而,这种架构可能会在存储数据的同一台机器上执行复杂的处理(包括执行任意代码)来违反安全原则。 代替处理查询,数据存储可以被配置为仅接收指定一个或多个过滤标准的请求,并且提供满足过滤标准的数据项。 计算节点可以通过生成包括一个或多个过滤器标准的请求来应用查询,向数据节点提供请求,并将该查询的剩余部分(包括复杂处理,并且潜在地执行任意代码)应用于数据项 由数据节点提供,从而提高查询处理的安全性和效率。
    • 19. 发明申请
    • LARGE-SCALE EVENT EVALUATION USING REALTIME PROCESSORS
    • 使用实时处理器进行大规模事件评估
    • US20120158783A1
    • 2012-06-21
    • US12972575
    • 2010-12-20
    • Nir NiceDaniel SittonDror KremerMichael Feldman
    • Nir NiceDaniel SittonDror KremerMichael Feldman
    • G06F17/30G06F9/44
    • G06F17/30424G06Q30/02G06Q50/01
    • Large-scale event processing systems are often designed to perform data mining operations by storing a large set of events in a massive database, applying complex queries to the records of the events, and generating reports and notifications. However, because such queries are performed on very large data sets, the processing of the queries often introduces a significant delay between the occurrence of the events and the reporting or notification thereof. Instead, a large-scale event processing system may be devised as a large state machine organized according to an evaluation plan, comprising a graph of event processors that, in realtime, evaluate each event in an event stream to update an internal state of the event processor, and to perform responses when response conditions are met. The continuous monitoring and evaluation of the stream of events may therefore enable the event processing system to provide realtime responses and notifications of complex queries.
    • 大型事件处理系统通常被设计为通过将大量事件存储在海量数据库中,将复杂查询应用于事件记录以及生成报告和通知来执行数据挖掘操​​作。 然而,因为这样的查询是在非常大的数据集上执行的,所以查询的处理通常引起事件发生与其报告或通知之间的显着延迟。 相反,大型事件处理系统可以被设计为根据评估计划组织的大型状态机,其包括实时地评估事件流中的每个事件以更新事件的内部状态的事件处理器的图形 处理器,并在满足响应条件时执行响应。 因此,事件流的连续监视和评估可以使得事件处理系统能够提供复杂查询的实时响应和通知。
    • 20. 发明申请
    • SUPPLEMENTING BIOMETRIC IDENTIFICATION WITH DEVICE IDENTIFICATION
    • 用设备识别来补充生物识别
    • US20120154117A1
    • 2012-06-21
    • US12970100
    • 2010-12-16
    • Nir NiceEyal Krupka
    • Nir NiceEyal Krupka
    • G06F7/04
    • H04L63/0861G06F21/32G06Q50/265H04L63/101H04L63/102
    • A computer may identify an individual according to one or more biometrics based on various physiological aspects of the individual, such as metrics of various features of the face, gait, fingerprint, or voice of the individual. However, biometrics are often computationally intensive to compute, inaccurate, and unable to scale to identify an individual among a large set of known individuals. Therefore, the biometric identification of an individual may be supplemented by identifying one or more devices associated with the individual (e.g., a mobile phone, a vehicle driven by the individual, or an implanted medical device). When an individual is registered for identification, various device identifiers of devices associated with the individual may be stored along with the biometrics of the individual. Individuals may then be identified using both biometrics and detected device identifiers, thereby improving the efficiency, speed, accuracy, and scalability of the identification.
    • 计算机可以基于个体的各种生理方面根据一个或多个生物特征识别个体,例如个体的各种特征的度量,步态,指纹或个体的声音。 然而,生物识别通常对于计算,不精确和无法扩展以在一大群已知个体中识别个体而计算密集。 因此,可以通过识别与个人(例如,移动电话,由个体驱动的车辆或植入的医疗设备)相关联的一个或多个设备来补充个体的生物特征识别。 当个人被注册用于识别时,可以与个体的生物特征一起存储与个人相关联的设备的各种设备标识符。 然后可以使用生物特征和检测到的设备标识符来识别个体,从而提高识别的效率,速度,准确性和可扩展性。