Application-awareness in SDN
作者： Zafar Ayyub Qazi , Jeongkeun Lee , Tao Jin , Gowtham Bellala , Manfred Arndt
关键词: Computer network 、 Android (operating system) 、 Traffic classification 、 Computer architecture 、 Atlas (topology) 、 Wireless network 、 Computer science 、 Scalability
摘要: We present a framework, Atlas, which incorporates application-awareness into Software-Defined Networking (SDN), is currently capable of L2/3/4-based policy enforcement but agnostic to higher layers. Atlas enables fine-grained, accurate and scalable application classification in SDN. It employs machine learning (ML) based traffic technique, crowd-sourcing approach obtain ground truth data leverages SDN's reporting mechanism centralized control. prototype on HP Labs wireless networks observe 94% accuracy average, for top 40 Android applications.
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