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Using empirical distributions to characterize web client traffic and to generate synthetic traffic
RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.ORCID iD: 0000-0002-8102-5773
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 Science
Identifiers
URN: urn:nbn:se:ri:diva-21208OAI: oai:DiVA.org:ri-21208DiVA: diva2:1041242
Conference
IEEE Globecom: Global Internet
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2017-10-17Bibliographically approved

Open Access in DiVA

fulltext(1832 kB)7 downloads
File information
File name FULLTEXT01.psFile size 1832 kBChecksum SHA-512
715602d4478222cb6217533934de4071365a583e88de6d5250b8a5f4077767812be106fefbc4e0418156adee5fdef8dc10ff2524d8f6e545b83e6a325a99fb44
Type fulltextMimetype application/postscript

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Abrahamsson, HenrikAhlgren, Bengt
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • 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
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf