New directions in traffic measurement and accounting
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
Flash crowds and denial of service attacks: characterization and implications for CDNs and web sites
Proceedings of the 11th international conference on World Wide Web
A pragmatic definition of elephants in internet backbone traffic
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
TCPivo: a high-performance packet replay engine
MoMeTools '03 Proceedings of the ACM SIGCOMM workshop on Models, methods and tools for reproducible network research
Characterization of network-wide anomalies in traffic flows
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Tmix: a tool for generating realistic TCP application workloads in ns-2
ACM SIGCOMM Computer Communication Review
Realistic and responsive network traffic generation
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Monkey see, monkey do: a tool for TCP tracing and replaying
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
A measurement study of correlations of Internet flow characteristics
Computer Networks: The International Journal of Computer and Telecommunications Networking
On interactive internet traffic replay
RAID'05 Proceedings of the 8th international conference on Recent Advances in Intrusion Detection
APNOMS'09 Proceedings of the 12th Asia-Pacific network operations and management conference on Management enabling the future internet for changing business and new computing services
Hi-index | 0.00 |
Traffic replay tools that generate traffic in order to recreate real traffic scenarios play an important role in network operation. Nowadays, the Internet backbone links are increasing in capacity as well as in transmission speed making trace-based replay difficult. This paper proposes a novel approach to high-speed backbone traffic replaying. We bring out an original granular split of traffic that provides a smaller number of manageable entities than in case of traffic packets and flows. The proposed method uses IP aggregation to split traffic which allows us to incorporate social phenomena into traffic replay. The practical use and the advantages in real-time replay are the two major points established in this paper.