Abstract
Experimental networking has evolved significantly over the last two decades, but it remains a daunting endeavor. Throughout this time, traffic generation, a key component for experimental networking, has remained a major challenge. What is traffic generation and what role does it play in empirical networking research? Consider this example: you develop a new Active Queue Management (AQM) scheme for routers on the Internet. AQM is a router-based form of congestion control wherein routers notify end-systems of incipient congestion. The common goal of all AQM designs is to keep the average queue size in routers small [17]. Before deploying this scheme in the wild (Internet), you must test it to ensure that it is better than the existing queue management schemes on your routers. You do this by running experiments using a laboratory network or a simulator.
A science is any discipline in which the fool of this generation can go beyond the point reached by the genius of the last generation.
Max Gluckman
South-African born British social anthropologist (1911–1975)
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Aikat, J., Jeffay, K., Smith, F.D. (2012). Background and Related Work. In: The Effects of Traffic Structure on Application and Network Performance. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1848-1_2
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