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    • 82. 发明授权
    • System and method for generating distributed information systems
    • 用于生成分布式信息系统的系统和方法
    • US08225272B2
    • 2012-07-17
    • US11589362
    • 2006-10-30
    • Michael Feldman
    • Michael Feldman
    • G06F9/44G06F15/16
    • G06F8/60G06F8/36
    • An architecture for developing a distributed information system comprises a service definition tool for generating service protocols as a service definition. Each service protocol includes a plurality of messages. The messages include incoming messages and outgoing messages. Each message carries a plurality of data fields. A component development tool generates a first and second plurality of components that implement and consume services. Each component in the first plurality of components represents a physical entity in the distributed information system. Each component in the second plurality of components represents a logical entity in the distributed information system. A system development tool generates a plurality of component instances based on the first and second plurality of components. An engine software program runs on each of a plurality of networked nodes. The engine software program provides a programmable run-time environment for hosting the plurality of component instances and supporting communication between component instances.
    • 用于开发分布式信息系统的架构包括用于生成服务协议作为服务定义的服务定义工具。 每个服务协议包括多个消息。 消息包括传入消息和传出消息。 每条消息携带多个数据字段。 组件开发工具生成实现和使用服务的第一和第二多个组件。 第一多个组件中的每个组件表示分布式信息系统中的物理实体。 第二多个组件中的每个组件表示分布式信息系统中的逻辑实体。 系统开发工具基于第一和第二多个组件生成多个组件实例。 引擎软件程序在多个网络节点中的每一个上运行。 引擎软件程序提供可编程的运行时环境,用于托管多个组件实例并支持组件实例之间的通信。
    • 83. 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。
    • 84. 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。