Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Traffic measurement and analysis
RISE., Swedish ICT, SICS, Decisions, Networks and Analytics lab.ORCID-id: 0000-0002-8102-5773
1999 (engelsk)Rapport (Annet vitenskapelig)
Abstract [en]

Measurement and analysis of real traffic is important to gain knowledge about the characteristics of the traffic. Without measurement, it is impossible to build realistic traffic models. It is recent that data traffic was found to have self-similar properties. In this thesis work traffic captured on the network at SICS and on the Supernet, is shown to have this fractal-like behaviour. The traffic is also examined with respect to which protocols and packet sizes are present and in what proportions. In the SICS trace most packets are small, TCP is shown to be the predominant transport protocol and NNTP the most common application. In contrast to this, large UDP packets sent between not well-known ports dominates the Supernet traffic. Finally, characteristics of the client side of the WWW traffic are examined more closely. In order to extract useful information from the packet trace, web browsers use of TCP and HTTP is investigated including new features in HTTP/1.1 such as persistent connections and pipelining. Empirical probability distributions are derived describing session lengths, time between user clicks and the amount of data transferred due to a single user click. These probability distributions make up a simple model of WWW-sessions.

sted, utgiver, år, opplag, sider
Kista, Sweden: Swedish Institute of Computer Science , 1999, 1. , s. 52
Serie
SICS Technical Report, ISSN 1100-3154 ; T99:05
Emneord [en]
Traffic measurement, self-similarity
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-21973OAI: oai:DiVA.org:ri-21973DiVA, id: diva2:1041515
Tilgjengelig fra: 2016-10-31 Laget: 2016-10-31 Sist oppdatert: 2018-07-04bibliografisk kontrollert

Open Access i DiVA

fulltekst(1310 kB)60 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 1310 kBChecksum SHA-512
c7fdd496d683d5516ce5bec53d5bc1472830e1142a79721174091325bc0b2d0ef15711005e1c07a75ebe3a017f3258807de0ca041e32af49717641ed42f1c263
Type fulltextMimetype application/pdf

Personposter BETA

Abrahamsson, Henrik

Søk i DiVA

Av forfatter/redaktør
Abrahamsson, Henrik
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 60 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

urn-nbn

Altmetric

urn-nbn
Totalt: 194 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
v. 2.35.7