On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
High-speed policy-based packet forwarding using efficient multi-dimensional range matching
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Integrated management of networked systems: concepts, architectures, and their operational application
Precision timestamping of network packets
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
ICNP '02 Proceedings of the 10th IEEE International Conference on Network Protocols
Network Systems Design Using Network Processors
Network Systems Design Using Network Processors
Long-Range Dependence: Ten Years of Internet Traffic Modeling
IEEE Internet Computing
Multifractality in TCP/IP traffic: the case against
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Long-range dependence in a changing internet traffic mix
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Survey and taxonomy of packet classification techniques
ACM Computing Surveys (CSUR)
HPSR'09 Proceedings of the 15th international conference on High Performance Switching and Routing
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Evolving network technologies, new web services and changing usage patterns continuously change traffic characteristics. But a thorough understanding of the traffic is the basis for many applications in networking. Thus, it is crucial to analyze up-to-date traffic traces collected by passive measurements in many relevant network contexts. As the traces' quality defines the significance of such analysis, the measured data is required to be complete, temporally accurate and reliable. This is especially challenging for measurements on high-speed links. In this paper, we present a scalable architecture for a high-speed, passive measurement platform for obtaining highly accurate packet traces. Its functional blocks are distributed to a specialized hardware unit and a commodity PC unit according to their specific requirements. For pre-processing, the hardware unit integrates a protocol-aware classification and filtering module which allows an easy definition of classification and filtering rules. We analyze the platform's scalability and support this by a implementation with current FPGA technology and a standard server PC.