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Evidence for long-tailed distributions in the internet
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Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement table of contents
San Francisco, California, USA
Session: Timescales and stability table of contents
Pages: 229 - 241  
Year of Publication: 2001
ISBN:1-58113-435-5
Author
Allen B. Downey  Wellesley College, Wellesley, MA
Sponsor
SIGCOMM: ACM Special Interest Group on Data Communication
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 59,   Citation Count: 14
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ABSTRACT

We review evidence that Internet traffic is characterized by long-tailed distributions of interarrival times, transfer times, burst sizes, and burst lengths. We propose a new statistical technique for identifying long-tailed distributions, and apply it to a variety of datasets collected on the Internet. We find that there is little evidence that interarrival times and transfer times are long-tailed, but that there is some evidence for long-tailed burst sizes. We speculate on the causes of long-tailed bursts.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  14