On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Exploiting process lifetime distributions for dynamic load balancing
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
IEEE/ACM Transactions on Networking (TON)
Load-sensitive routing of long-lived IP flows
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
On power-law relationships of the Internet topology
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Dynamics of IP traffic: a study of the role of variability and the impact of control
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Connection scheduling in web servers
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
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Measurement-driven networking research can be viewed as a reaction to the wide-spread belief within the networking community that much of conventional networking research has only given lip-service to the importance of network measurements and, as a result, has become less and less successful in understanding, explaining, and handling the increasingly complex and large-scale nature of modern communication networks. In this talk, I will illustrate with three examples why and how measurement-based findings about the actual dynamics of Internet traffic have opened up new avenues of research into algorithm engineering and experiments.