Serveur d'exploration sur l'opéra

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

A scaling analysis of UMTS traffic

Identifieur interne : 000238 ( PascalFrancis/Curation ); précédent : 000237; suivant : 000239

A scaling analysis of UMTS traffic

Auteurs : Lucjan Janowski [Pologne] ; Thomas Ziegler [Autriche] ; Eduard Hasenleithner [Autriche]

Source :

RBID : Pascal:07-0468382

Descripteurs français

English descriptors

Abstract

This paper reports on the results of a scaling analysis of traffic traces captured at several Gn Interfaces of an opera-tional 3G network. Using the Abry Veitch test and Variance Time Plots we find that the analyzed traffic is characterized by a non self-similar process for small time scales and strong self-similarity for larger time scales. The reasons for the time scale dependency of traffic self similarity are analysed in detail. We find that for smaller time scales the packet arrival times are independent explaining the weak correlation of the data. For larger timescales the arrival of TCP connections in the UMTS network can be considered independent. This property is intuitive because the only link where TCP connections could influence themselves is the channel originating at the mobile terminal. As a further finding we observe that the cut off point between weak and strong correlation is around the mean RTT of TCP flows. Additionally, we propose a model which allows generating traffic similar to the measured UMTS traffic. The model contains only three parameters allowing to influence all observed changes in Log Diagram and Variance Time Plot. Comparing the output of the model with the real traffic traces we find that the model matches reality accurately.
pA  
A01 01  1    @0 0302-9743
A05       @2 4003
A08 01  1  ENG  @1 A scaling analysis of UMTS traffic
A09 01  1  ENG  @1 Next generation teletraffic and wired/wireless advanced networking : 6th international conference, NEW2AN 2006, St. Petersburg, Russia, May 29-June 2, 2006 : proceedings
A11 01  1    @1 JANOWSKI (Lucjan)
A11 02  1    @1 ZIEGLER (Thomas)
A11 03  1    @1 HASENLEITHNER (Eduard)
A12 01  1    @1 KOUCHERYAVY (Yevgeni) @9 ed.
A12 02  1    @1 HARJU (Jarmo) @9 ed.
A12 03  1    @1 IVERSEN (Villy B.) @9 ed.
A14 01      @1 Department of Telecommunications AGH University of Science and Technology, Al. Mickiewicza 30 @2 30-059 Kraków @3 POL @Z 1 aut.
A14 02      @1 Telecommunications Research Center Vienna, Donaucity Strasse 1 @2 1220 Vienna @3 AUT @Z 2 aut. @Z 3 aut.
A20       @1 211-222
A21       @1 2006
A23 01      @0 ENG
A26 01      @0 3-540-34429-2
A43 01      @1 INIST @2 16343 @5 354000153590870190
A44       @0 0000 @1 © 2007 INIST-CNRS. All rights reserved.
A45       @0 26 ref.
A47 01  1    @0 07-0468382
A60       @1 P @2 C
A61       @0 A
A64 01  1    @0 Lecture notes in computer science
A66 01      @0 DEU
C01 01    ENG  @0 This paper reports on the results of a scaling analysis of traffic traces captured at several Gn Interfaces of an opera-tional 3G network. Using the Abry Veitch test and Variance Time Plots we find that the analyzed traffic is characterized by a non self-similar process for small time scales and strong self-similarity for larger time scales. The reasons for the time scale dependency of traffic self similarity are analysed in detail. We find that for smaller time scales the packet arrival times are independent explaining the weak correlation of the data. For larger timescales the arrival of TCP connections in the UMTS network can be considered independent. This property is intuitive because the only link where TCP connections could influence themselves is the channel originating at the mobile terminal. As a further finding we observe that the cut off point between weak and strong correlation is around the mean RTT of TCP flows. Additionally, we propose a model which allows generating traffic similar to the measured UMTS traffic. The model contains only three parameters allowing to influence all observed changes in Log Diagram and Variance Time Plot. Comparing the output of the model with the real traffic traces we find that the model matches reality accurately.
C02 01  X    @0 001D04B02B
C02 02  X    @0 001D04B04G2
C02 03  X    @0 001D04B03A
C03 01  X  FRE  @0 Télécommunication sans fil @5 01
C03 01  X  ENG  @0 Wireless telecommunication @5 01
C03 01  X  SPA  @0 Telecomunicación sin hilo @5 01
C03 02  X  FRE  @0 Système UMTS @5 02
C03 02  X  ENG  @0 UMTS system @5 02
C03 02  X  SPA  @0 Sistema UMTS @5 02
C03 03  X  FRE  @0 Télétrafic @5 03
C03 03  X  ENG  @0 Teletraffic @5 03
C03 03  X  SPA  @0 Teletráfico @5 03
C03 04  3  FRE  @0 Radiocommunication service mobile 3ème génération @5 04
C03 04  3  ENG  @0 3G mobile communication @5 04
C03 05  X  FRE  @0 Autosimilitude @5 05
C03 05  X  ENG  @0 Selfsimilarity @5 05
C03 05  X  SPA  @0 Autosimilitud @5 05
C03 06  X  FRE  @0 Echelle temps @5 06
C03 06  X  ENG  @0 Time scale @5 06
C03 06  X  SPA  @0 Escala tiempo @5 06
C03 07  X  FRE  @0 Temps arrivée @5 07
C03 07  X  ENG  @0 Arrival time @5 07
C03 07  X  SPA  @0 Tiempo llegada @5 07
C03 08  X  FRE  @0 Protocole TCP @5 08
C03 08  X  ENG  @0 Transmission control protocol @5 08
C03 08  X  SPA  @0 Protocolo TCP @5 08
C03 09  X  FRE  @0 Radiocommunication service mobile @5 31
C03 09  X  ENG  @0 Mobile radiocommunication @5 31
C03 09  X  SPA  @0 Radiocomunicación servicio móvil @5 31
C03 10  X  FRE  @0 Protocole transmission @5 32
C03 10  X  ENG  @0 Transmission protocol @5 32
C03 10  X  SPA  @0 Protocolo transmisión @5 32
N21       @1 302
N44 01      @1 OTO
N82       @1 OTO
pR  
A30 01  1  ENG  @1 NEW2AN 2006 @2 6 @3 St. Petersburg RUS @4 2006

Links toward previous steps (curation, corpus...)


Links to Exploration step

Pascal:07-0468382

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en" level="a">A scaling analysis of UMTS traffic</title>
<author>
<name sortKey="Janowski, Lucjan" sort="Janowski, Lucjan" uniqKey="Janowski L" first="Lucjan" last="Janowski">Lucjan Janowski</name>
<affiliation wicri:level="1">
<inist:fA14 i1="01">
<s1>Department of Telecommunications AGH University of Science and Technology, Al. Mickiewicza 30</s1>
<s2>30-059 Kraków</s2>
<s3>POL</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>Pologne</country>
</affiliation>
</author>
<author>
<name sortKey="Ziegler, Thomas" sort="Ziegler, Thomas" uniqKey="Ziegler T" first="Thomas" last="Ziegler">Thomas Ziegler</name>
<affiliation wicri:level="1">
<inist:fA14 i1="02">
<s1>Telecommunications Research Center Vienna, Donaucity Strasse 1</s1>
<s2>1220 Vienna</s2>
<s3>AUT</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>Autriche</country>
</affiliation>
</author>
<author>
<name sortKey="Hasenleithner, Eduard" sort="Hasenleithner, Eduard" uniqKey="Hasenleithner E" first="Eduard" last="Hasenleithner">Eduard Hasenleithner</name>
<affiliation wicri:level="1">
<inist:fA14 i1="02">
<s1>Telecommunications Research Center Vienna, Donaucity Strasse 1</s1>
<s2>1220 Vienna</s2>
<s3>AUT</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>Autriche</country>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">INIST</idno>
<idno type="inist">07-0468382</idno>
<date when="2006">2006</date>
<idno type="stanalyst">PASCAL 07-0468382 INIST</idno>
<idno type="RBID">Pascal:07-0468382</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000329</idno>
<idno type="wicri:Area/PascalFrancis/Curation">000238</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a">A scaling analysis of UMTS traffic</title>
<author>
<name sortKey="Janowski, Lucjan" sort="Janowski, Lucjan" uniqKey="Janowski L" first="Lucjan" last="Janowski">Lucjan Janowski</name>
<affiliation wicri:level="1">
<inist:fA14 i1="01">
<s1>Department of Telecommunications AGH University of Science and Technology, Al. Mickiewicza 30</s1>
<s2>30-059 Kraków</s2>
<s3>POL</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>Pologne</country>
</affiliation>
</author>
<author>
<name sortKey="Ziegler, Thomas" sort="Ziegler, Thomas" uniqKey="Ziegler T" first="Thomas" last="Ziegler">Thomas Ziegler</name>
<affiliation wicri:level="1">
<inist:fA14 i1="02">
<s1>Telecommunications Research Center Vienna, Donaucity Strasse 1</s1>
<s2>1220 Vienna</s2>
<s3>AUT</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>Autriche</country>
</affiliation>
</author>
<author>
<name sortKey="Hasenleithner, Eduard" sort="Hasenleithner, Eduard" uniqKey="Hasenleithner E" first="Eduard" last="Hasenleithner">Eduard Hasenleithner</name>
<affiliation wicri:level="1">
<inist:fA14 i1="02">
<s1>Telecommunications Research Center Vienna, Donaucity Strasse 1</s1>
<s2>1220 Vienna</s2>
<s3>AUT</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>Autriche</country>
</affiliation>
</author>
</analytic>
<series>
<title level="j" type="main">Lecture notes in computer science</title>
<idno type="ISSN">0302-9743</idno>
<imprint>
<date when="2006">2006</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt>
<title level="j" type="main">Lecture notes in computer science</title>
<idno type="ISSN">0302-9743</idno>
</seriesStmt>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>3G mobile communication</term>
<term>Arrival time</term>
<term>Mobile radiocommunication</term>
<term>Selfsimilarity</term>
<term>Teletraffic</term>
<term>Time scale</term>
<term>Transmission control protocol</term>
<term>Transmission protocol</term>
<term>UMTS system</term>
<term>Wireless telecommunication</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr">
<term>Télécommunication sans fil</term>
<term>Système UMTS</term>
<term>Télétrafic</term>
<term>Radiocommunication service mobile 3ème génération</term>
<term>Autosimilitude</term>
<term>Echelle temps</term>
<term>Temps arrivée</term>
<term>Protocole TCP</term>
<term>Radiocommunication service mobile</term>
<term>Protocole transmission</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr">
<term>Télécommunication sans fil</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">This paper reports on the results of a scaling analysis of traffic traces captured at several Gn Interfaces of an opera-tional 3G network. Using the Abry Veitch test and Variance Time Plots we find that the analyzed traffic is characterized by a non self-similar process for small time scales and strong self-similarity for larger time scales. The reasons for the time scale dependency of traffic self similarity are analysed in detail. We find that for smaller time scales the packet arrival times are independent explaining the weak correlation of the data. For larger timescales the arrival of TCP connections in the UMTS network can be considered independent. This property is intuitive because the only link where TCP connections could influence themselves is the channel originating at the mobile terminal. As a further finding we observe that the cut off point between weak and strong correlation is around the mean RTT of TCP flows. Additionally, we propose a model which allows generating traffic similar to the measured UMTS traffic. The model contains only three parameters allowing to influence all observed changes in Log Diagram and Variance Time Plot. Comparing the output of the model with the real traffic traces we find that the model matches reality accurately.</div>
</front>
</TEI>
<inist>
<standard h6="B">
<pA>
<fA01 i1="01" i2="1">
<s0>0302-9743</s0>
</fA01>
<fA05>
<s2>4003</s2>
</fA05>
<fA08 i1="01" i2="1" l="ENG">
<s1>A scaling analysis of UMTS traffic</s1>
</fA08>
<fA09 i1="01" i2="1" l="ENG">
<s1>Next generation teletraffic and wired/wireless advanced networking : 6th international conference, NEW2AN 2006, St. Petersburg, Russia, May 29-June 2, 2006 : proceedings</s1>
</fA09>
<fA11 i1="01" i2="1">
<s1>JANOWSKI (Lucjan)</s1>
</fA11>
<fA11 i1="02" i2="1">
<s1>ZIEGLER (Thomas)</s1>
</fA11>
<fA11 i1="03" i2="1">
<s1>HASENLEITHNER (Eduard)</s1>
</fA11>
<fA12 i1="01" i2="1">
<s1>KOUCHERYAVY (Yevgeni)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="02" i2="1">
<s1>HARJU (Jarmo)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="03" i2="1">
<s1>IVERSEN (Villy B.)</s1>
<s9>ed.</s9>
</fA12>
<fA14 i1="01">
<s1>Department of Telecommunications AGH University of Science and Technology, Al. Mickiewicza 30</s1>
<s2>30-059 Kraków</s2>
<s3>POL</s3>
<sZ>1 aut.</sZ>
</fA14>
<fA14 i1="02">
<s1>Telecommunications Research Center Vienna, Donaucity Strasse 1</s1>
<s2>1220 Vienna</s2>
<s3>AUT</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</fA14>
<fA20>
<s1>211-222</s1>
</fA20>
<fA21>
<s1>2006</s1>
</fA21>
<fA23 i1="01">
<s0>ENG</s0>
</fA23>
<fA26 i1="01">
<s0>3-540-34429-2</s0>
</fA26>
<fA43 i1="01">
<s1>INIST</s1>
<s2>16343</s2>
<s5>354000153590870190</s5>
</fA43>
<fA44>
<s0>0000</s0>
<s1>© 2007 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45>
<s0>26 ref.</s0>
</fA45>
<fA47 i1="01" i2="1">
<s0>07-0468382</s0>
</fA47>
<fA60>
<s1>P</s1>
<s2>C</s2>
</fA60>
<fA61>
<s0>A</s0>
</fA61>
<fA64 i1="01" i2="1">
<s0>Lecture notes in computer science</s0>
</fA64>
<fA66 i1="01">
<s0>DEU</s0>
</fA66>
<fC01 i1="01" l="ENG">
<s0>This paper reports on the results of a scaling analysis of traffic traces captured at several Gn Interfaces of an opera-tional 3G network. Using the Abry Veitch test and Variance Time Plots we find that the analyzed traffic is characterized by a non self-similar process for small time scales and strong self-similarity for larger time scales. The reasons for the time scale dependency of traffic self similarity are analysed in detail. We find that for smaller time scales the packet arrival times are independent explaining the weak correlation of the data. For larger timescales the arrival of TCP connections in the UMTS network can be considered independent. This property is intuitive because the only link where TCP connections could influence themselves is the channel originating at the mobile terminal. As a further finding we observe that the cut off point between weak and strong correlation is around the mean RTT of TCP flows. Additionally, we propose a model which allows generating traffic similar to the measured UMTS traffic. The model contains only three parameters allowing to influence all observed changes in Log Diagram and Variance Time Plot. Comparing the output of the model with the real traffic traces we find that the model matches reality accurately.</s0>
</fC01>
<fC02 i1="01" i2="X">
<s0>001D04B02B</s0>
</fC02>
<fC02 i1="02" i2="X">
<s0>001D04B04G2</s0>
</fC02>
<fC02 i1="03" i2="X">
<s0>001D04B03A</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE">
<s0>Télécommunication sans fil</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG">
<s0>Wireless telecommunication</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA">
<s0>Telecomunicación sin hilo</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE">
<s0>Système UMTS</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG">
<s0>UMTS system</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA">
<s0>Sistema UMTS</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE">
<s0>Télétrafic</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG">
<s0>Teletraffic</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA">
<s0>Teletráfico</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="3" l="FRE">
<s0>Radiocommunication service mobile 3ème génération</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="3" l="ENG">
<s0>3G mobile communication</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE">
<s0>Autosimilitude</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG">
<s0>Selfsimilarity</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA">
<s0>Autosimilitud</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE">
<s0>Echelle temps</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG">
<s0>Time scale</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA">
<s0>Escala tiempo</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE">
<s0>Temps arrivée</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG">
<s0>Arrival time</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA">
<s0>Tiempo llegada</s0>
<s5>07</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE">
<s0>Protocole TCP</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG">
<s0>Transmission control protocol</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA">
<s0>Protocolo TCP</s0>
<s5>08</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE">
<s0>Radiocommunication service mobile</s0>
<s5>31</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG">
<s0>Mobile radiocommunication</s0>
<s5>31</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA">
<s0>Radiocomunicación servicio móvil</s0>
<s5>31</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE">
<s0>Protocole transmission</s0>
<s5>32</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG">
<s0>Transmission protocol</s0>
<s5>32</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA">
<s0>Protocolo transmisión</s0>
<s5>32</s5>
</fC03>
<fN21>
<s1>302</s1>
</fN21>
<fN44 i1="01">
<s1>OTO</s1>
</fN44>
<fN82>
<s1>OTO</s1>
</fN82>
</pA>
<pR>
<fA30 i1="01" i2="1" l="ENG">
<s1>NEW2AN 2006</s1>
<s2>6</s2>
<s3>St. Petersburg RUS</s3>
<s4>2006</s4>
</fA30>
</pR>
</standard>
</inist>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Musique/explor/OperaV1/Data/PascalFrancis/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000238 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Curation/biblio.hfd -nk 000238 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Musique
   |area=    OperaV1
   |flux=    PascalFrancis
   |étape=   Curation
   |type=    RBID
   |clé=     Pascal:07-0468382
   |texte=   A scaling analysis of UMTS traffic
}}

Wicri

This area was generated with Dilib version V0.6.21.
Data generation: Thu Apr 14 14:59:05 2016. Site generation: Thu Oct 8 06:48:41 2020