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    • 91. 发明申请
    • Data Plane Learning of Bi-Directional Service Chains
    • 双向服务链的数据平面学习
    • US20140334488A1
    • 2014-11-13
    • US13891245
    • 2013-05-10
    • CISCO TECHNOLOGY, INC.
    • James GuichardPaul QuinnDavid WardSurendra KumarNavindra YadavMichael R. SmithNagaraj A. Bagepalli
    • H04L12/851
    • H04L45/306H04L41/0893H04L47/2441H04L69/22
    • Techniques are provided to decouple service chain structure from the underlying network forwarding state and allow for data plane learning of service chain forwarding requirements and any association between services function state requirements and the forward and reverse forwarding paths for a service chain. In a network comprising a plurality of network nodes each configured to apply a service function to traffic that passes through the respective network node, a packet is received at a network node. When the network node determines that the service function it applies is stateful, it updates context information in a network service header of the packet to indicate that the service function applied at the network node is stateful and that traffic for a reverse path matching the classification criteria is to be returned to the network node.
    • 提供了技术来将服务链结构与底层网络转发状态分离,并允许服务链转发要求的数据平面学习和服务功能状态要求与服务链的前向和后向转发路径之间的任何关联。 在包括多个网络节点的网络中,每个网络节点被配置为对通过相应网络节点的业务应用服务功能,在网络节点处接收分组。 当网络节点确定其应用的服务功能是有状态时,它更新分组的网络服务报头中的上下文信息,以指示在网络节点处应用的服务功能是有状态的,并且用于与分类标准匹配的反向路径的业务 将被返回到网络节点。