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 :
-
Lecture notes in computer science [ 0302-9743 ] ; 2006.
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.
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| A08 | 01 | 1 | ENG | @1 A scaling analysis of UMTS traffic |
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| 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) |
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| A11 | 02 | 1 | | @1 ZIEGLER (Thomas) |
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| A11 | 03 | 1 | | @1 HASENLEITHNER (Eduard) |
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| A12 | 01 | 1 | | @1 KOUCHERYAVY (Yevgeni) @9 ed. |
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| A12 | 02 | 1 | | @1 HARJU (Jarmo) @9 ed. |
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| A12 | 03 | 1 | | @1 IVERSEN (Villy B.) @9 ed. |
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| 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. |
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| A20 | | | | @1 211-222 |
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| A23 | 01 | | | @0 ENG |
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| A43 | 01 | | | @1 INIST @2 16343 @5 354000153590870190 |
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| A44 | | | | @0 0000 @1 © 2007 INIST-CNRS. All rights reserved. |
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| A45 | | | | @0 26 ref. |
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| A47 | 01 | 1 | | @0 07-0468382 |
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| A60 | | | | @1 P @2 C |
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| A66 | 01 | | | @0 DEU |
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| 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. |
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| C02 | 03 | X | | @0 001D04B03A |
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| C03 | 01 | X | FRE | @0 Télécommunication sans fil @5 01 |
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| 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 |
|---|
|
|---|
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Le document en format XML
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</keywords><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>
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</fA12><fA12 i1="03" i2="1"><s1>IVERSEN (Villy B.)</s1>
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</fC01><fC02 i1="01" i2="X"><s0>001D04B02B</s0>
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<s5>05</s5>
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<s5>05</s5>
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<s5>07</s5>
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<s5>08</s5>
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<s5>08</s5>
</fC03><fC03 i1="08" i2="X" l="SPA"><s0>Protocolo TCP</s0>
<s5>08</s5>
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</fN44><fN82><s1>OTO</s1>
</fN82><pR><fA30 i1="01" i2="1" l="ENG"><s1>NEW2AN 2006</s1>
<s2>6</s2>
<s3>St. Petersburg RUS</s3>
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