Looking Glass of NFV: Inferring the Structure and State of NFV Network from External Observations
Looking Glass of NFV: Inferring the Structure and State of NFV Network from External Observations
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NFV 的镜子:从外部观察推断 NFV 网络的结构和状态
DOI:
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发表时间:
2019
期刊:
影响因子:
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通讯作者:
Stephen Pasteris
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文献类型:
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作者:
Yilei Lin;T. He;Shiqiang Wang;K. Chan;Stephen Pasteris
The rapid development of network function virtualization (NFV) enables a communication network to provide in-network services using virtual network functions (VNFs) deployed on general IT hardware. While existing studies on NFV focused on how to provision VNFs from the provider’s perspective, little is known about how to validate the provisioned resources from the user’s perspective. In this work, we take a first step towards this problem by developing an inference framework designed to “look into” the NFV network. Our framework infers the structure and state of the overlay formed by VNF instances, ingress/egress points of measurement flows, and critical points on their paths (branching/joining points). Our solution only uses external observations such as the required service chains and the end-to-end performance measurements. Besides the novel application scenario, our work also fundamentally advances the state of the art on topology discovery by considering (i) general topologies with general measurement paths, and (ii) information of service chains. Evaluations based on real network topologies show that the proposed solution significantly improves the accuracy over existing solutions, and service chaining information is critical in revealing the structure of the underlying topology.