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Using empirical distributions to characterize web client traffic and to generate synthetic traffic
Abrahamsson, Henrik
RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
ORCID iD:
0000-0002-8102-5773
Ahlgren, Bengt
RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
ORCID iD:
0000-0002-1445-2169
2000 (English)
Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2000, 1.
National Category
Computer and Information Sciences
Identifiers
URN:
urn:nbn:se:ri:diva-21208
OAI: oai:DiVA.org:ri-21208
DiVA, id:
diva2:1041242
Conference
IEEE Globecom: Global Internet
Available from:
2016-10-31
Created:
2016-10-31
Last updated:
2023-05-19
Bibliographically approved
Open Access in DiVA
fulltext
(1832 kB)
57 downloads
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FULLTEXT01.ps
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715602d4478222cb6217533934de4071365a583e88de6d5250b8a5f4077767812be106fefbc4e0418156adee5fdef8dc10ff2524d8f6e545b83e6a325a99fb44
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fulltext
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application/postscript
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Abrahamsson, Henrik
Ahlgren, Bengt
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Ahlgren, Bengt
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Total: 57 downloads
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Direct link
http://ri.diva-portal.org/smash/record.jsf?pid=diva2:1041242
Cite
Citation style
apa
ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
Other style
More styles
Language
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
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html
text
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rtf
html
text
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rtf
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