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Software defined infrastructure greatly reduces the deployment cost of distributed applications. Many distributed applications employ message oriented middleware (MOM) for the integration of heterogeneous components and to achieve scalability and fault tolerance. The structure of a distributed application can be very complex. In addition, the asynchronous message delivery model of MOM further complicates...
We have undertaken a thorough measurement and modeling study of IPTV CDN traffic. We have collected and analyzed network-layer IPTV CDN traffic measurements and, based on the characteristics of IPTV CDN traffic, a traffic model has been developed and verified with NS-2 simulation. Our simulation results indicate that the proposed traffic model complies well with the real IPTV CDN traffic. We detail...
Userspsila character analysis and control are important for enterprise network management and security. In this paper, we propose a novel method to classify the userspsila behaviors into different security levels and control their behaviors with corresponding strategies. Firstly, Dflow model and several traffic features, including the number of packets, number of flows, flow durations, etc., are proposed...
Traffic classification is of fundamental importance to track the evolution of network applications and model their behaviours. Further, classified traffic is required to understand how the Internet is being used, and to effectively control the services that traffic receives. In this paper we present a machine-learning approach that accurately classifies live traffic using C4.5 decision tree. By collecting...
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