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1. 发明授权

US08020162B2 Employing a resource broker in managing workloads of a peer-to-peer computing environment 失效
标题翻译：使用资源代理管理对等计算环境的工作负载
公开(公告)号：US08020162B2
公开(公告)日：2011-09-13
申请号：US10199544
申请日：2002-07-19
申请人： Oliver Benke , Boas S. Betzler , Thomas J. Lumpp , Eberhard Pasch
发明人： Oliver Benke , Boas S. Betzler , Thomas J. Lumpp , Eberhard Pasch
IPC分类号： G06F9/46 , G06F15/173 , G06Q10/00
CPC分类号： G06F9/5072 , G06F9/5016 , G06Q10/06316
摘要： A resource broker is used in managing workloads of a peer-to-peer distributed computing environment. The broker is responsible for distributing to a plurality of clients of the peer-to-peer distributed computing environment tasks of one or more workloads of one or more issuers of the environment. The tasks are processed by the clients using a runtime environment provided by the broker. The runtime environment of a client is generic to the one or more issuers and independent of an operating system of the client.
摘要翻译：资源代理用于管理对等分布式计算环境的工作负载。经纪人负责向环境的一个或多个发行者的一个或多个工作负载的多个客户端分发对等分布式计算环境任务。这些任务由客户端使用代理提供的运行时环境进行处理。客户端的运行时环境与一个或多个发行者通用，并且独立于客户机的操作系统。

2. 发明申请

US20110218945A1 TRAINING WITH COMPLEX EVENT PROCESSING ENGINE TO IDENTIFY SEMANTIC MEANING OF VIRTUAL WORLD OBJECT STATE CHANGES 失效
标题翻译：训练复杂事件处理引擎识别虚拟世界对象状态变化的语义意义
公开(公告)号：US20110218945A1
公开(公告)日：2011-09-08
申请号：US12715431
申请日：2010-03-02
申请人： Boas S. Betzler , Thang G. Pham , Sophie Wrobel
发明人： Boas S. Betzler , Thang G. Pham , Sophie Wrobel
IPC分类号： G06F15/18 , G06N5/02
CPC分类号： G06F15/18 , G06N5/02
摘要： Techniques for training a system to identify state changes in objects in virtual worlds. Base events transmitted by a virtual world engine are observed. Statistical analysis of the observed base events is performed. Based at least in part on this statistical analysis, a computer processor determines that a group of one or more of the observed base events is correlated to a first identified higher-level event. Optionally, the determination is based in part on a frequency of occurrence of the group of base events, on generated rules, or both. A candidate higher-level event including the group of base events thus determined is stored. User input is received about the candidate higher-level event. If so specified by the received user input, the candidate higher-level event is stored as a second identified higher-level event. As a result, the system is advantageously trained to identify higher-level events which represent abstract situations.
摘要翻译：用于训练系统以识别虚拟世界中对象的状态变化的技术。观察由虚拟世界引擎发送的基本事件。执行观察到的基础事件的统计分析。至少部分地基于该统计分析，计算机处理器确定一个或多个观察到的基本事件的组与第一识别的较高级事件相关联。可选地，所述确定部分地基于所述一组基础事件的发生频率，所生成的规则或两者。存储包括如此确定的基本事件组的候选高级事件。接收关于候选更高级别事件的用户输入。如果由接收到的用户输入指定的话，候选高级事件被存储为第二识别的更高级别的事件。结果，该系统被有利地被训练以识别代表抽象情况的更高层次的事件。

3. 发明授权

US08676724B2 Training with complex event processing engine to identify semantic meaning of virtual world object state changes 失效
标题翻译：训练与复杂事件处理引擎，以识别虚拟世界对象状态变化的语义
公开(公告)号：US08676724B2
公开(公告)日：2014-03-18
申请号：US12715431
申请日：2010-03-02
申请人： Boas S. Betzler , Thang G. Pham , Sophie Wrobel
发明人： Boas S. Betzler , Thang G. Pham , Sophie Wrobel
IPC分类号： G06F15/18
CPC分类号： G06F15/18 , G06N5/02
摘要： Techniques for training a system to identify state changes in objects in virtual worlds. Base events transmitted by a virtual world engine are observed. Statistical analysis of the observed base events is performed. Based at least in part on this statistical analysis, a computer processor determines that a group of one or more of the observed base events is correlated to a first identified higher-level event. Optionally, the determination is based in part on a frequency of occurrence of the group of base events, on generated rules, or both. A candidate higher-level event including the group of base events thus determined is stored. User input is received about the candidate higher-level event. If so specified by the received user input, the candidate higher-level event is stored as a second identified higher-level event. As a result, the system is advantageously trained to identify higher-level events which represent abstract situations.
摘要翻译：用于训练系统以识别虚拟世界中对象的状态变化的技术。观察由虚拟世界引擎发送的基本事件。执行观察到的基础事件的统计分析。至少部分地基于该统计分析，计算机处理器确定一个或多个观察到的基本事件的组与第一识别的较高级事件相关联。可选地，所述确定部分地基于所述一组基础事件的发生频率，所生成的规则或两者。存储包括如此确定的基本事件组的候选高级事件。接收关于候选更高级别事件的用户输入。如果由接收到的用户输入指定的话，候选高级事件被存储为第二识别的更高级别的事件。结果，该系统被有利地被训练以识别代表抽象情况的更高层次的事件。

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