Simulation-based comparisons of Tahoe, Reno and SACK TCP
ACM SIGCOMM Computer Communication Review
Heavy-tailed probability distributions in the World Wide Web
A practical guide to heavy tails
Self-similarity and heavy tails: structural modeling of network traffic
A practical guide to heavy tails
A hybrid systems modeling framework for fast and accurate simulation of data communication networks
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Fluid models and solutions for large-scale IP networks
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Time-driven fluid simulation for high-speed networks
IEEE Transactions on Information Theory
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This paper presents a scalable time-stepped hybrid simulation algorithm which is well adapted to the simulation of large IP networks (up to one million of competing ows and network elements), while tracking reactive traffic behaviour and packet-level phenomena e.g. timeout trigger or packet burstiness. This simulation paradigm allows one to gain several orders of magnitude of computation time compared to traditional discrete event simulation approaches. The accuracy of this simulation method is evaluated by comparison to other simulation methodologies. Examples of large scale network simulations are also presented.