System and method for monitoring and reacting to peer-to-peer network metrics
    1.
    发明申请
    System and method for monitoring and reacting to peer-to-peer network metrics 有权
    用于监视和对对等网络指标的系统和方法

    公开(公告)号:US20060215575A1

    公开(公告)日:2006-09-28

    申请号:US11089894

    申请日:2005-03-25

    IPC分类号: H04J1/16 H04L12/28 H04L12/56

    摘要: The overall health of a peer-to-peer network may be inferred from statistics gathered and analyzed pertaining to individual node and node-to-node performance within the peer-to-peer network. When used with simulations for development or testing, the health statistic may be used instead of or to supplement standard regression testing to determine whether or not changes made improve system performance. When used with live peer-to-peer networks, the health statistic may provide a real-time view into network performance. Such a view may be used to adjust peer-to-peer network topology or to isolate underperforming or malicious nodes.

    摘要翻译: 对等网络的总体健康状况可以从对等网络中单个节点和节点到节点性能收集和分析的统计信息推断出来。 当用于开发或测试的模拟时,可以使用健康统计信息来代替或补充标准回归测试,以确定改变是否改善系统性能。 当与实时对等网络一起使用时,卫生统计可以提供对网络性能的实时视图。 这种视图可用于调整对等网络拓扑或隔离表现不佳或恶意节点。

    Self-evolving distributed system
    2.
    发明申请
    Self-evolving distributed system 有权
    自发演进的分布式系统

    公开(公告)号:US20060262726A1

    公开(公告)日:2006-11-23

    申请号:US11413538

    申请日:2006-04-28

    IPC分类号: H04L12/26

    摘要: In a distributed computing system, an artificial intelligence system may be employed to configure the network variables. A metric describing the overall system performance may be derived during network operation or simulation and compared to an ideal metric describing the same distributed system performance. The difference between the derived metric and the ideal metric may then be used with an artificial intelligence system to modify the network variables to evolve the system toward the ideal performance standard.

    摘要翻译: 在分布式计算系统中,可以采用人工智能系统来配置网络变量。 描述整个系统性能的度量可以在网络操作或仿真期间得出,并与描述相同分布式系统性能的理想度量进行比较。 然后可以将衍生度量和理想量度之间的差异与人造智能系统一起使用以修改网络变量,以将系统演变为理想的性能标准。