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Application identification is beneficial for malware detection, content cache, application-specific QoS, traffic control, etc. The existing identification methods using machine learning are usually limited to identification of protocols, not applications, and hard to adapt to the emergence of new applications. We have been proposing a new method for adaptive application identification with machine...
Recent progress on virtualization and deeply programmable network technologies brings opportunities for network operators to flexibly deploy a diverse set of network functions as software-based middle boxes. We present a new deployment and configuration management framework for network functions, called toy block networking. In our framework, an operator can describe its network-wide deployment plan...
Software-Defined Networking (SDN) is widely studied in research community. Although OpenFlow switches are considered one of the promising SDN technologies, even the latest version of OpenFlow (1.3) only handles 40 tuples including Layer 2 to Layer 4 (L2–L4) headers. However, application developers and end users may not often find "flow" based traffic control. In this paper, we propose L7...
Software-Defined Networking (SDN) increasingly attracts more researchers as well as industry attentions. Most of current SDN packet processing approaches classify packets based on matching a set of fields on the packet against a flow table and then applying an action on the packet. We argue we can simplify this mechanism using single-field classification and reduce the overhead. We propose a tag-based...
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