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    • 3. 发明申请
    • TRAFFIC INDEPENDENT SURVIVABILITY ANALYSIS
    • 交通费独立生存率分析
    • US20090052333A1
    • 2009-02-26
    • US12195393
    • 2008-08-20
    • Vanko VankovArun PasupathyVinod JeyachandranPradeep K. SinghAlain J. CohenYonghuan Cao
    • Vanko VankovArun PasupathyVinod JeyachandranPradeep K. SinghAlain J. CohenYonghuan Cao
    • G06F11/30
    • H04L43/50
    • First-order effects of hypothesized fault conditions are determined by propagating discrete test packets between select nodes and noting the change of path, if any, taken by the test packet under each condition relative to the fault-free path. Tools are provided to create classes of node pairs of interest, and test packets are created only for select classes. The network is analyzed to identify fault conditions that are likely to impact system performance, and only these fault conditions are simulated. By providing a methodology for selecting classes of node pairs to test, and prioritizing the faults to simulate, a first-order survivability analysis of large networks can be performed efficiently and effectively. The efficiency of this technique is also enhanced by providing test packets that are representative of a wide range of possible source-destination combinations, and by evaluating only the source-destination combinations that may be directly affected by each fault condition.
    • 通过在选择节点之间传播离散的测试包,并注意到每个条件下相对于无故障路径,由测试包采取的路径(如果有的话)的变化来确定假设故障条件的一阶影响。 提供工具来创建感兴趣的节点对类,并且只为选择类创建测试包。 分析网络以识别可能影响系统性能的故障状况,并且仅模拟这些故障条件。 通过提供一种选择要测试的节点对的类别并对故障进行优先级模拟的方法,可以有效和高效地执行大型网络的一阶生存性分析。 通过提供表示广泛范围的可能的源 - 目的地组合的测试分组以及通过仅评估可能由每个故障状况直接影响的源 - 目的地组合来增强该技术的效率。
    • 4. 发明授权
    • Traffic independent survivability analysis
    • 交通独立生存能力分析
    • US07843840B2
    • 2010-11-30
    • US12195393
    • 2008-08-20
    • Vanko VankovArun PasupathyVinod JeyachandranPradeep K. SinghAlain J. CohenYonghuan Cao
    • Vanko VankovArun PasupathyVinod JeyachandranPradeep K. SinghAlain J. CohenYonghuan Cao
    • G06F11/30
    • H04L43/50
    • First-order effects of hypothesized fault conditions are determined by propagating discrete test packets between select nodes and noting the change of path, if any, taken by the test packet under each condition relative to the fault-free path. Tools are provided to create classes of node pairs of interest, and test packets are created only for select classes. The network is analyzed to identify fault conditions that are likely to impact system performance, and only these fault conditions are simulated. By providing a methodology for selecting classes of node pairs to test, and prioritizing the faults to simulate, a first-order survivability analysis of large networks can be performed efficiently and effectively. The efficiency of this technique is also enhanced by providing test packets that are representative of a wide range of possible source-destination combinations, and by evaluating only the source-destination combinations that may be directly affected by each fault condition.
    • 通过在选择节点之间传播离散的测试包,并注意到每个条件下相对于无故障路径,由测试包采取的路径(如果有的话)的变化来确定假设故障条件的一阶影响。 提供工具来创建感兴趣的节点对类,并且只为选择类创建测试包。 分析网络以识别可能影响系统性能的故障状况,并且仅模拟这些故障条件。 通过提供一种选择要测试的节点对的类别并对故障进行优先级模拟的方法,可以有效和高效地执行大型网络的一阶生存性分析。 通过提供表示广泛范围的可能的源 - 目的地组合的测试分组以及通过仅评估可能由每个故障状况直接影响的源 - 目的地组合来增强该技术的效率。