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    • 2. 发明申请
    • MULTI-FIELD CLASSIFICATION DYNAMIC RULES UPDATES
    • 多领域分类动态规则更新
    • US20090083209A1
    • 2009-03-26
    • US12327115
    • 2008-12-03
    • Everett A. Corl, JR.Gordon T. DavisClark D. Jeffries
    • Everett A. Corl, JR.Gordon T. DavisClark D. Jeffries
    • G06N5/02
    • H04L43/16H04L43/18H04L49/25H04L63/0263
    • The present invention relates to a method and computer system device for applying a plurality of rules to data packets within a network computer system. A filter rule decision tree is updated by adding or deleting a rule. If deleting a filter rule then the decision tree is provided to a network data plane processor with an incremental delete of the filter rule. If adding a filter rule then either providing an incremental insertion of the filter rule to the decision tree or rebuilding the first decision tree into a second decision tree responsive to comparing a parameter to a threshold. In one embodiment the parameter and thresholds relate to depth values of the tree filter rule chained branches. In another the parameter and thresholds relate to a total count of rule additions since a building of the relevant tree.
    • 本发明涉及一种用于将多个规则应用于网络计算机系统内的数据分组的方法和计算机系统设备。 通过添加或删除规则来更新过滤规则决策树。 如果删除过滤规则,则将决策树提供给具有过滤规则的增量删除的网络数据平面处理器。 如果添加过滤规则,则响应于将参数与阈值进行比较,提供过滤规则的增量插入到决策树或将第一决策树重新构建到第二决策树中。 在一个实施例中,参数和阈值涉及树筛选器规则链分支的深度值。 在另一个中,参数和阈值涉及自相关树的建立以来的规则添加的总计数。
    • 3. 发明授权
    • Multi-field classification dynamic rule updates
    • 多字段分类动态规则更新
    • US07478426B2
    • 2009-01-13
    • US10894628
    • 2004-07-20
    • Everett A. Corl, Jr.Gordon T. DavisClark D. Jeffries
    • Everett A. Corl, Jr.Gordon T. DavisClark D. Jeffries
    • G06F15/16G06F9/00
    • H04L43/16H04L43/18H04L49/25H04L63/0263
    • The present invention relates to a method and computer system device for applying a plurality of rules to data packets within a network computer system. A filter rule decision tree is updated by adding or deleting a rule. If deleting a filter rule then the decision tree is provided to a network data plane processor with an incremental delete of the filter rule. If adding a filter rule then either providing an incremental insertion of the filter rule to the decision tree or rebuilding the first decision tree into a second decision tree responsive to comparing a parameter to a threshold. In one embodiment the parameter and thresholds relate to depth values of the tree filter rule chained branches. In another the parameter and thresholds relate to a total count of rule additions since a building of the relevant tree.
    • 本发明涉及一种用于将多个规则应用于网络计算机系统内的数据分组的方法和计算机系统设备。 通过添加或删除规则来更新过滤规则决策树。 如果删除过滤规则,则将决策树提供给具有过滤规则的增量删除的网络数据平面处理器。 如果添加过滤规则,则响应于将参数与阈值进行比较,提供过滤规则的增量插入到决策树或将第一决策树重新构建到第二决策树中。 在一个实施例中,参数和阈值涉及树筛选器规则链分支的深度值。 在另一个中,参数和阈值涉及自相关树的建立以来的规则添加的总计数。
    • 9. 发明授权
    • Active flow management with hysteresis
    • 主动流量管理带滞后
    • US07453798B2
    • 2008-11-18
    • US10782617
    • 2004-02-19
    • Jeffrey P. BradfordGordon T. DavisDongming HwangClark D. JeffriesSrinivasan RamaniKartik SudeepKen V. Vu
    • Jeffrey P. BradfordGordon T. DavisDongming HwangClark D. JeffriesSrinivasan RamaniKartik SudeepKen V. Vu
    • H04L12/00
    • H04L47/10H04L47/29H04L47/323
    • The present invention provides for a computer network method and system that applies “hysteresis” to an active queue management algorithm. If a queue is at a level below a certain low threshold and a burst of packets arrives at a network node, then the probability of dropping the initial packets in the burst is recalculated, but the packets are not dropped. However, if the queue level crosses beyond a hysteresis threshold, then packets are discarded pursuant to a drop probability.Also, according to the present invention, queue level may be decreased until it becomes less than the hysteresis threshold, with packets dropped per the drop probability until the queue level decreases to at least a low threshold. In one embodiment, an adaptive algorithm is also provided to adjust the transmit probability for each flow together with hysteresis to increase the packet transmit rates to absorb bursty traffic.
    • 本发明提供一种向活动队列管理算法应用“迟滞”的计算机网络方法和系统。 如果队列处于低于某个低阈值的水平,并且一​​群数据包到达网络节点,则重新计算突发中丢弃初始数据包的概率,但不会丢弃数据包。 然而,如果队列级别超过滞后阈值,则根据丢弃概率丢弃数据包。 此外,根据本发明,可以减少队列级别,直到其变得小于滞后阈值,其中每个丢弃概率的分组丢弃,直到队列级别降低到至少低阈值。 在一个实施例中,还提供自适应算法来调整每个流的发送概率以及迟滞以增加分组传输速率以吸收突发业务。