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    • 16. 发明授权
    • System and method for systematic construction of correlation rules for event management
    • 系统建立事件管理相关规则的系统和方法
    • US06697791B2
    • 2004-02-24
    • US09849565
    • 2001-05-04
    • Joseph L. HellersteinSheng MaLuanne M. BurnsChang-shing PerngDavid A. Rabenhorst
    • Joseph L. HellersteinSheng MaLuanne M. BurnsChang-shing PerngDavid A. Rabenhorst
    • G06F1700
    • G06N5/025
    • A technique is provided for systematically constructing one or more correlation rules for use by an event management system for managing a network with one or more computing devices. The technique comprises the following steps. First, in association with an event cache, event data representing past or historical events associated with the network of computing devices being managed by the event management system is obtained. Next, a first pattern is found or detected in the obtained event data associated with the event cache. The pattern is then classified. Then, at least one correlation rule is constructed based on the classified pattern. Lastly, in association with the event cache, the one or more events included in the pattern are replaced with a composite or cumulative event such that hierarchical patterns may be subsequently found for use in constructing further correlation rules.
    • 提供了一种用于系统地构建一个或多个相关规则以供事件管理系统用于使用一个或多个计算设备管理网络的技术。 该技术包括以下步骤。 首先,与事件缓存相关联,获得表示由事件管理系统管理的与计算设备的网络相关联的过去或历史事件的事件数据。 接下来,在与事件高速缓存相关联的所获得的事件数据中找到或检测到第一模式。 然后将模式分类。 然后,基于分类模式构建至少一个相关规则。 最后,与事件缓存相关联,包含在模式中的一个或多个事件被替换为复合或累积事件,使得随后可以发现分级模式用于构建进一步的相关规则。
    • 17. 发明授权
    • Predictive model-based measurement acquisition
    • 基于预测模型的测量采集
    • US06678730B2
    • 2004-01-13
    • US10109724
    • 2002-03-29
    • Joseph L. HellersteinNikolaus Haus
    • Joseph L. HellersteinNikolaus Haus
    • G06F15173
    • H04L67/1023H04L41/0233H04L41/046H04L41/147H04L43/00H04L43/022H04L43/106H04L67/1002H04L67/1008H04L67/101H04L67/1029
    • A method, system and program storage device for measurement acquisition using predictive models which: (a) can improve scalability; (b) can accommodate devices that operate in a disconnected mode; and (c) enable integration of data from sources with different time granularities. Various features can be embodied in software and an object-oriented implementation is described. Different implementations are described, such as standalone predictive models implemented only on a manager (for example systems management/load balancing) or managed system (for example router management); or a parallel implementation with predictive models running on both the manager and managed (agent) systems (for example financial trading or system health monitoring). In a parallel model implementation, the agent constructs a predictive model that is conveyed to the manager system. The models are used in parallel, possibly with no communication for an extended time. The manager uses its model to provide tentative values of measurement variables to management applications. The agent uses its model to check its accuracy. If the model is found to be insufficiently accurate, an updated model is transmitted to the manager. The invention allows other measurement acquisition protocols to operate concurrently on the same measurement variables.
    • 一种用于使用预测模型进行测量采集的方法,系统和程序存储设备,其中:(a)可以提高可扩展性; (b)可容纳在断开模式下工作的设备; 和(c)使来自具有不同时间粒度的来源的数据的集成。 各种特征可以体现在软件中,并且描述了面向对象的实现。 描述了不同的实现方式,例如仅在管理器(例如,系统管理/负载平衡)或被管理系统(例如路由器管理)上实现的独立预测模型; 或者具有在管理和管理(代理)系统上运行的预测模型的并行实现(例如金融交易或系统健康监视)。 在并行模型实现中,代理构建传达给管理器系统的预测模型。 这些模型并行使用,可能长时间没有通信。 经理使用其模型为管理应用程序提供测量变量的临时值。 代理使用其模型来检查其准确性。 如果发现该模型的准确性不足,则将更新后的模型传送给经理。 本发明允许其他测量获取协议在相同的测量变量上同时运行。