Abstract | ||
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The need to service populations of high diversity in the face of high disparity affects all aspects of network operation: planning, routing, engineering, security, and accounting. We analyze diversity/disparity from the perspective of selecting a boundary between mice and elephants in IP traffic aggregated by route, e.g., destination AS. Our goal is to find a concise quantifier of size disparity for IP addresses, prefixes, policy atoms and ASes, similar to the oft-quoted 80/20 split (e.g., 80% of volume in 20% of sources). We define crossover as the fraction c of total volume contributed by a complementary fraction 1 - c of large objects. Studying sources and sinks at two Tier 1 backbones and one university, we find that splits of 90/10 and 95/5 are common for IP traffic. We compare the crossover diversity to common analytic models for size distributions such as Pareto/Zipf. We find that AS traffic volumes (by byte) are top-heavy and can only be approximated by Pareto with alpha = 0.5, and that empirical distributions are often close to Weibull with shape parameter 0.2-0.3. We also find that less than 20 ASes send or receive 50% of all traffic in both backbones' samples, a disparity that can simplify traffic engineering. Our results are useful for developers of traffic models, generators and simulators, for router testers and operators of high-speed networks. |
Year | DOI | Venue |
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2004 | 10.1007/978-3-540-24668-8_12 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
shape parameter,empirical distribution | Zipf's law,Internet Protocol,Crossover,Pareto distribution,Computer science,Computer network,Router,Traffic engineering,Pareto principle,Internet traffic | Conference |
Volume | ISSN | Citations |
3015 | 0302-9743 | 20 |
PageRank | References | Authors |
2.83 | 13 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andre Broido | 1 | 851 | 67.09 |
Young Hyun | 2 | 387 | 34.36 |
Ruomei Gao | 3 | 69 | 7.20 |
Kimberly C. Claffy | 4 | 445 | 66.00 |