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1. 发明授权

US06865517B2 Aggregation of sensory data for distributed decision-making 失效
标题翻译：用于分布式决策的感官数据的聚合
公开(公告)号：US06865517B2
公开(公告)日：2005-03-08
申请号：US10317708
申请日：2002-12-11
申请人： David F. Bantz , John S. Davis, II , Rafah A. Hosn , Nicholas M. Mitchell , Veronique Perret , Daby M. Sow , Jeremy B. Sussman
发明人： David F. Bantz , John S. Davis, II , Rafah A. Hosn , Nicholas M. Mitchell , Veronique Perret , Daby M. Sow , Jeremy B. Sussman
IPC分类号： G06F11/00 , G06F15/00 , H04L29/08
CPC分类号： H04L67/12 , Y10S706/934 , Y10S707/99945
摘要： A method, apparatus and computer product that enables a processor associated with a node in a computer system having various nodes, the nodes having sensors which provide data, and the nodes being connected by a communications facility acquiring local data from the sensor and remote data from other nodes via the data transfer facility. The nodes process data from a local sensor at the node and from remote sensors at other nodes; and analyze the local data, data from other nodes and local decisions made at and received from other nodes to make a local decision for action at the node. A local decision made at a node is in turn communicated to other nodes.
摘要翻译：一种方法，装置和计算机产品，其使能与具有各种节点的计算机系统中的节点相关联的处理器，所述节点具有提供数据的传感器，并且所述节点通过通信设备连接，从所述传感器获取本地数据，其他节点通过数据传输设施。节点处理节点处的本地传感器和其他节点的远程传感器的数据; 并分析本地数据，来自其他节点的数据和从其他节点进行的接收的本地决策，以便在节点处进行本地决策。在一个节点做出的本地决策又传递给其他节点。

2. 发明授权

US08627317B2 Automatic identification of bottlenecks using rule-based expert knowledge 有权
标题翻译：使用基于规则的专家知识自动识别瓶颈
公开(公告)号：US08627317B2
公开(公告)日：2014-01-07
申请号：US12873920
申请日：2010-09-01
申请人： Erik R. Altman , Matthew R. Arnold , Nicholas M. Mitchell
发明人： Erik R. Altman , Matthew R. Arnold , Nicholas M. Mitchell
IPC分类号： G06F9/455 , G06F9/46
CPC分类号： G06F11/3476 , G06F11/3419
摘要： Execution states of tasks are inferred from collection of information associated with runtime execution of a computer system. Collection of information may include infrequent samples of executing tasks, the samples which may provide inaccurate executing states. One or more tasks may be aggregated by one or more execution states for determining execution time, idle time, or system policy violations, or combinations thereof.
摘要翻译：从与计算机系统的运行时执行相关联的信息的收集推断任务的执行状态。信息收集可能包括不常见的执行任务样本，可能会提供不准确执行状态的样本。可以通过用于确定执行时间，空闲时间或系统策略违规的一个或多个执行状态或其组合来聚合一个或多个任务。

3. 发明授权

US07233733B2 Method and system for finding evolving regions in graphs without persistent node identity 有权
标题翻译：用于在没有持久节点身份的图形中查找演进区域的方法和系统
公开(公告)号：US07233733B2
公开(公告)日：2007-06-19
申请号：US11180445
申请日：2005-07-13
申请人： Herbert G. Derby , Nicholas M. Mitchell , Indrajit Poddar
发明人： Herbert G. Derby , Nicholas M. Mitchell , Indrajit Poddar
IPC分类号： G02B6/00 , G06F9/45
CPC分类号： G06F11/3604
摘要： A system, method, and computer program for identifying evolving regions in a graph of interrelated nodes representing a computer system environment. The method includes generating a series of samples (302) of the environment. Each sample includes a plurality of interrelated nodes (502) and at least one edge (504) classified into a plurality of at least one of node type and edge type, respectively. A summary (900) of the plurality of at least one of node type (502) and edge type (504) is created for the series of samples (302). A summary instance (312) of the summary (900) is created for each sample. At least one summary instance (312) is compared to at least one subsequent summary instance (314) and at least one result (318) is stored in memory (106). A successive behavior is characterized for one or more of the at least one of the node type and the edge type.
摘要翻译：用于识别表示计算机系统环境的相关节点的图中的演进区域的系统，方法和计算机程序。该方法包括生成环境的一系列样本（302）。每个样本分别包括多个相关节点（502）和被分类为多个节点类型和边缘类型中的至少一个的至少一个边缘（504）。为一系列样本（302）创建节点类型（502）和边缘类型（504）中的多个至少一个的概要（900）。为每个样本创建摘要（900）的摘要实例（312）。将至少一个概要实例（312）与至少一个后续摘要实例（314）进行比较，并且至少一个结果（318）被存储在存储器（106）中。连续行为的特征在于节点类型和边缘类型中的至少一个中的一个或多个。

4. 发明申请

US20120054472A1 AUTOMATIC IDENTIFICATION OF BOTTLENECKS USING RULE-BASED EXPERT KNOWLEDGE 有权
标题翻译：使用基于规则的专家知识自动鉴定胆固醇
公开(公告)号：US20120054472A1
公开(公告)日：2012-03-01
申请号：US12873920
申请日：2010-09-01
申请人： Erik R. Altman , Matthew R. Arnold , Nicholas M. Mitchell
发明人： Erik R. Altman , Matthew R. Arnold , Nicholas M. Mitchell
IPC分类号： G06F9/30
CPC分类号： G06F11/3476 , G06F11/3419
摘要： Execution states of tasks are inferred from collection of information associated with runtime execution of a computer system. Collection of information may include infrequent samples of executing tasks, the samples which may provide inaccurate executing states. One or more tasks may be aggregated by one or more execution states for determining execution time, idle time, or system policy violations, or combinations thereof.
摘要翻译：从与计算机系统的运行时执行相关联的信息的收集推断任务的执行状态。信息收集可能包括不常见的执行任务样本，可能会提供不准确执行状态的样本。可以通过用于确定执行时间，空闲时间或系统策略违规的一个或多个执行状态或其组合来聚合一个或多个任务。

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