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We propose an architecture that increases the resiliency against DDoS attacks by leveraging virtual network functions (VNF) and software defined networking (SDN). In the first step, the proposed architecture places the virtual network functions (VNF) optimally by solving a linear program. In the second step, in order to add preemptive protection against DDoS attacks, special filter VNFs and secondary...
For Internet service providers to efficiently use network resources, they need to conduct traffic engineering to dynamically control traffic routes to accommodate traffic with limited network resources. The performance of traffic engineering depends on the accuracy of traffic prediction. However, the volume of network traffic has been changing drastically in recent years due to the growth of various...
Dynamic placement of the virtual network functions (VNFs) is one of the promising approaches to handling time-varying demands; when demands are small, the energy consumption can be reduced by placing the VNFs to a small number of physical nodes and shutting down unused nodes. If the demands becomes large, the VNFs are migrated to allocate the sufficient resources. In the dynamic placement of the VNFs,...
Traffic engineering (TE) plays an essential role in deciding routes that effectively use network resources. This is particularly important when one considers the increasing time variation of Internet traffic such as streaming and cloud services. Traffic engineering with traffic prediction is one approach to stably accommodating time-varying traffic. This approach calculates routes from predicted traffic...
This paper proposes a novel approach to separating background (BG) and foreground (FG) traffic based on periodicity analysis. As BG traffic is commonly periodically generated by applications, this trait is leveraged to effectively detect BG traffic. Concretely, the Period Candidate Array (PCA) approach is proposed to extract only necessary information from long and sparse traffic flows, hence quickly...
Return network traffic (from servers to clients) in thin-client systems is modeled as a mixture of interactive data flows corresponding to keystrokes and bulk data flows related to screen updates. Users are very sensitive to delay and jitter of the former flows. Thus our goal is to minimize the latency of interactive data transfer without increasing latency of bulk data transfer. Through simulation...
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