Application of sampling methodologies to network traffic characterization
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
BPF+: exploiting global data-flow optimization in a generalized packet filter architecture
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Estimating flow distributions from sampled flow statistics
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Flow sampling under hard resource constraints
Proceedings of the joint international conference on Measurement and modeling of computer systems
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Anomaly Characterization in Flow-Based Traffic Time Series
IPOM '08 Proceedings of the 8th IEEE international workshop on IP Operations and Management
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Nowadays network bandwidth is increasing continuously for end-users and network providers. Network monitoring tools have to be able to support these high-speed networks, processing a high number of packets per second. For this reason, network monitoring tools have to be improved using software or hardware techniques. In this paper we use sampling techniques, as a software technique that can provide the capacity of monitoring networks with high bandwidth, keeping a low-cost hardware platform. A new technique called mixed sampling is proposed and compared with other techniques proposed in the literature. We focus on time-dependent statistics not studied before with sampling. These statistics will require applying estimation techniques for better results