Parallel agent-based simulation on a cluster of workstations
Identifieur interne :
000199 ( PascalFrancis/Corpus );
précédent :
000198;
suivant :
000200
Parallel agent-based simulation on a cluster of workstations
Auteurs : Konstantin Popov ;
Vladimir Vlassov ;
Mahmoud Rafea ;
Fredrik Holmgren ;
Per Brand ;
Seif HaridiSource :
-
Lecture notes in computer science [ 0302-9743 ] ; 2003.
RBID : Pascal:04-0138793
Descripteurs français
- Pascal (Inist)
- Simulateur,
Internet,
Echelle grande,
Station travail,
Partition,
Flot donnée,
Développement logiciel,
Site Web,
Système réparti,
Séquentiel,
Réseau web,
Réponse temporelle,
Temps discret,
Amas,
Algorithme parallèle.
English descriptors
- KwdEn :
- Cluster,
Data flow,
Discrete time,
Distributed system,
Internet,
Large scale,
Parallel algorithm,
Partition,
Sequential,
Simulator,
Software development,
Time response,
Web site,
Workstation,
World wide web.
Abstract
We discuss a parallel implementation of an agent-based simulation. Our approach allows to adapt a sequential simulator for large-scale simulation on a cluster of workstations. We target discrete-time simulation models that capture the behavior of WWW. The real-world phenomena of emerged aggregated behavior of the Internet population is studied. The system distributes data among workstations, which allows large-scale simulations infeasible on a stand-alone computer. The model properties cause traffic between workstations proportional to partition sizes. Network latency is hidden by concurrent simulation of multiple users. The system is implemented in Mozart that provides multi-threading, dataflow variables, component-based software development, and network-transparency. Currently we can simulate up to 106 Web users on 104 Web sites using a cluster of 16 computers, which takes few seconds per simulation step, and for a problem of the same size, parallel simulation offers speedups between 11 and 14.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
| pA |
| A01 | 01 | 1 | | @0 0302-9743 |
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| A05 | | | | @2 2790 |
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| A08 | 01 | 1 | ENG | @1 Parallel agent-based simulation on a cluster of workstations |
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| A09 | 01 | 1 | ENG | @1 Euro-Par 2003 parallel processing : Klagenfurt, 26-29 August 2003 |
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| A11 | 01 | 1 | | @1 POPOV (Konstantin) |
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| A11 | 02 | 1 | | @1 VLASSOV (Vladimir) |
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| A11 | 03 | 1 | | @1 RAFEA (Mahmoud) |
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| A11 | 04 | 1 | | @1 HOLMGREN (Fredrik) |
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| A11 | 05 | 1 | | @1 BRAND (Per) |
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| A11 | 06 | 1 | | @1 HARIDI (Seif) |
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| A12 | 01 | 1 | | @1 KOSCH (Harald) @9 ed. |
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| A12 | 02 | 1 | | @1 BOSZORMENYI (Laszlo) @9 ed. |
|---|
| A12 | 03 | 1 | | @1 HELLWAGNER (Hermann) @9 ed. |
|---|
| A14 | 01 | | | @1 SICS @2 Kista @3 SWE @Z 1 aut. @Z 3 aut. @Z 4 aut. @Z 5 aut. |
|---|
| A14 | 02 | | | @1 KTH/IMIT @2 Kista @3 SWE @Z 2 aut. @Z 6 aut. |
|---|
| A20 | | | | @1 470-480 |
|---|
| A21 | | | | @1 2003 |
|---|
| A23 | 01 | | | @0 ENG |
|---|
| A26 | 01 | | | @0 3-540-40788-X |
|---|
| A43 | 01 | | | @1 INIST @2 16343 @5 354000117805180580 |
|---|
| A44 | | | | @0 0000 @1 © 2004 INIST-CNRS. All rights reserved. |
|---|
| A45 | | | | @0 25 ref. |
|---|
| A47 | 01 | 1 | | @0 04-0138793 |
|---|
| 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 We discuss a parallel implementation of an agent-based simulation. Our approach allows to adapt a sequential simulator for large-scale simulation on a cluster of workstations. We target discrete-time simulation models that capture the behavior of WWW. The real-world phenomena of emerged aggregated behavior of the Internet population is studied. The system distributes data among workstations, which allows large-scale simulations infeasible on a stand-alone computer. The model properties cause traffic between workstations proportional to partition sizes. Network latency is hidden by concurrent simulation of multiple users. The system is implemented in Mozart that provides multi-threading, dataflow variables, component-based software development, and network-transparency. Currently we can simulate up to 106 Web users on 104 Web sites using a cluster of 16 computers, which takes few seconds per simulation step, and for a problem of the same size, parallel simulation offers speedups between 11 and 14. |
|---|
| C02 | 01 | X | | @0 001D02B04 |
|---|
| C03 | 01 | X | FRE | @0 Simulateur @5 01 |
|---|
| C03 | 01 | X | ENG | @0 Simulator @5 01 |
|---|
| C03 | 01 | X | SPA | @0 Simulador @5 01 |
|---|
| C03 | 02 | X | FRE | @0 Internet @5 02 |
|---|
| C03 | 02 | X | ENG | @0 Internet @5 02 |
|---|
| C03 | 02 | X | SPA | @0 Internet @5 02 |
|---|
| C03 | 03 | X | FRE | @0 Echelle grande @5 03 |
|---|
| C03 | 03 | X | ENG | @0 Large scale @5 03 |
|---|
| C03 | 03 | X | SPA | @0 Escala grande @5 03 |
|---|
| C03 | 04 | X | FRE | @0 Station travail @5 04 |
|---|
| C03 | 04 | X | ENG | @0 Workstation @5 04 |
|---|
| C03 | 04 | X | SPA | @0 Estación trabajo @5 04 |
|---|
| C03 | 05 | X | FRE | @0 Partition @5 05 |
|---|
| C03 | 05 | X | ENG | @0 Partition @5 05 |
|---|
| C03 | 05 | X | SPA | @0 Partición @5 05 |
|---|
| C03 | 06 | X | FRE | @0 Flot donnée @5 06 |
|---|
| C03 | 06 | X | ENG | @0 Data flow @5 06 |
|---|
| C03 | 06 | X | SPA | @0 Flujo datos @5 06 |
|---|
| C03 | 07 | X | FRE | @0 Développement logiciel @5 07 |
|---|
| C03 | 07 | X | ENG | @0 Software development @5 07 |
|---|
| C03 | 07 | X | SPA | @0 Desarrollo logicial @5 07 |
|---|
| C03 | 08 | X | FRE | @0 Site Web @5 08 |
|---|
| C03 | 08 | X | ENG | @0 Web site @5 08 |
|---|
| C03 | 08 | X | SPA | @0 Sitio Web @5 08 |
|---|
| C03 | 09 | X | FRE | @0 Système réparti @5 09 |
|---|
| C03 | 09 | X | ENG | @0 Distributed system @5 09 |
|---|
| C03 | 09 | X | SPA | @0 Sistema repartido @5 09 |
|---|
| C03 | 10 | X | FRE | @0 Séquentiel @5 11 |
|---|
| C03 | 10 | X | ENG | @0 Sequential @5 11 |
|---|
| C03 | 10 | X | SPA | @0 Secuencial @5 11 |
|---|
| C03 | 11 | X | FRE | @0 Réseau web @5 12 |
|---|
| C03 | 11 | X | ENG | @0 World wide web @5 12 |
|---|
| C03 | 11 | X | SPA | @0 Red WWW @5 12 |
|---|
| C03 | 12 | X | FRE | @0 Réponse temporelle @5 13 |
|---|
| C03 | 12 | X | ENG | @0 Time response @5 13 |
|---|
| C03 | 12 | X | SPA | @0 Respuesta temporal @5 13 |
|---|
| C03 | 13 | X | FRE | @0 Temps discret @5 21 |
|---|
| C03 | 13 | X | ENG | @0 Discrete time @5 21 |
|---|
| C03 | 13 | X | SPA | @0 Tiempo discreto @5 21 |
|---|
| C03 | 14 | X | FRE | @0 Amas @5 22 |
|---|
| C03 | 14 | X | ENG | @0 Cluster @5 22 |
|---|
| C03 | 14 | X | SPA | @0 Montón @5 22 |
|---|
| C03 | 15 | X | FRE | @0 Algorithme parallèle @5 23 |
|---|
| C03 | 15 | X | ENG | @0 Parallel algorithm @5 23 |
|---|
| C03 | 15 | X | SPA | @0 Algoritmo paralelo @5 23 |
|---|
| N21 | | | | @1 089 |
|---|
| N82 | | | | @1 PSI |
|---|
|
|---|
| pR |
| A30 | 01 | 1 | ENG | @1 International Euro-Par conference @2 9 @3 Klagenfurt AUT @4 2003-08-26 |
|---|
|
|---|
Format Inist (serveur)
| NO : | PASCAL 04-0138793 INIST |
|---|
| ET : | Parallel agent-based simulation on a cluster of workstations |
|---|
| AU : | POPOV (Konstantin); VLASSOV (Vladimir); RAFEA (Mahmoud); HOLMGREN (Fredrik); BRAND (Per); HARIDI (Seif); KOSCH (Harald); BOSZORMENYI (Laszlo); HELLWAGNER (Hermann) |
|---|
| AF : | SICS/Kista/Suède (1 aut., 3 aut., 4 aut., 5 aut.); KTH/IMIT/Kista/Suède (2 aut., 6 aut.) |
|---|
| DT : | Publication en série; Congrès; Niveau analytique |
|---|
| SO : | Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2003; Vol. 2790; Pp. 470-480; Bibl. 25 ref. |
|---|
| LA : | Anglais |
|---|
| EA : | We discuss a parallel implementation of an agent-based simulation. Our approach allows to adapt a sequential simulator for large-scale simulation on a cluster of workstations. We target discrete-time simulation models that capture the behavior of WWW. The real-world phenomena of emerged aggregated behavior of the Internet population is studied. The system distributes data among workstations, which allows large-scale simulations infeasible on a stand-alone computer. The model properties cause traffic between workstations proportional to partition sizes. Network latency is hidden by concurrent simulation of multiple users. The system is implemented in Mozart that provides multi-threading, dataflow variables, component-based software development, and network-transparency. Currently we can simulate up to 106 Web users on 104 Web sites using a cluster of 16 computers, which takes few seconds per simulation step, and for a problem of the same size, parallel simulation offers speedups between 11 and 14. |
|---|
| CC : | 001D02B04 |
|---|
| FD : | Simulateur; Internet; Echelle grande; Station travail; Partition; Flot donnée; Développement logiciel; Site Web; Système réparti; Séquentiel; Réseau web; Réponse temporelle; Temps discret; Amas; Algorithme parallèle |
|---|
| ED : | Simulator; Internet; Large scale; Workstation; Partition; Data flow; Software development; Web site; Distributed system; Sequential; World wide web; Time response; Discrete time; Cluster; Parallel algorithm |
|---|
| SD : | Simulador; Internet; Escala grande; Estación trabajo; Partición; Flujo datos; Desarrollo logicial; Sitio Web; Sistema repartido; Secuencial; Red WWW; Respuesta temporal; Tiempo discreto; Montón; Algoritmo paralelo |
|---|
| LO : | INIST-16343.354000117805180580 |
|---|
| ID : | 04-0138793 |
|---|
Links to Exploration step
Pascal:04-0138793
Le document en format XML
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<sZ>5 aut.</sZ>
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<idno type="ISSN">0302-9743</idno>
<imprint><date when="2003">2003</date>
</imprint><seriesStmt><title level="j" type="main">Lecture notes in computer science</title>
<idno type="ISSN">0302-9743</idno>
</seriesStmt><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Cluster</term>
<term>Data flow</term>
<term>Discrete time</term>
<term>Distributed system</term>
<term>Internet</term>
<term>Large scale</term>
<term>Parallel algorithm</term>
<term>Partition</term>
<term>Sequential</term>
<term>Simulator</term>
<term>Software development</term>
<term>Time response</term>
<term>Web site</term>
<term>Workstation</term>
<term>World wide web</term>
</keywords><keywords scheme="Pascal" xml:lang="fr"><term>Simulateur</term>
<term>Internet</term>
<term>Echelle grande</term>
<term>Station travail</term>
<term>Partition</term>
<term>Flot donnée</term>
<term>Développement logiciel</term>
<term>Site Web</term>
<term>Système réparti</term>
<term>Séquentiel</term>
<term>Réseau web</term>
<term>Réponse temporelle</term>
<term>Temps discret</term>
<term>Amas</term>
<term>Algorithme parallèle</term>
</keywords><front><div type="abstract" xml:lang="en">We discuss a parallel implementation of an agent-based simulation. Our approach allows to adapt a sequential simulator for large-scale simulation on a cluster of workstations. We target discrete-time simulation models that capture the behavior of WWW. The real-world phenomena of emerged aggregated behavior of the Internet population is studied. The system distributes data among workstations, which allows large-scale simulations infeasible on a stand-alone computer. The model properties cause traffic between workstations proportional to partition sizes. Network latency is hidden by concurrent simulation of multiple users. The system is implemented in Mozart that provides multi-threading, dataflow variables, component-based software development, and network-transparency. Currently we can simulate up to 10<sup>6</sup>
Web users on 10<sup>4</sup>
Web sites using a cluster of 16 computers, which takes few seconds per simulation step, and for a problem of the same size, parallel simulation offers speedups between 11 and 14.</div><inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0302-9743</s0>
</fA01><fA05><s2>2790</s2>
</fA05><fA08 i1="01" i2="1" l="ENG"><s1>Parallel agent-based simulation on a cluster of workstations</s1>
</fA08><fA09 i1="01" i2="1" l="ENG"><s1>Euro-Par 2003 parallel processing : Klagenfurt, 26-29 August 2003</s1>
</fA09><fA11 i1="01" i2="1"><s1>POPOV (Konstantin)</s1>
</fA11><fA11 i1="02" i2="1"><s1>VLASSOV (Vladimir)</s1>
</fA11><fA11 i1="03" i2="1"><s1>RAFEA (Mahmoud)</s1>
</fA11><fA11 i1="04" i2="1"><s1>HOLMGREN (Fredrik)</s1>
</fA11><fA11 i1="05" i2="1"><s1>BRAND (Per)</s1>
</fA11><fA11 i1="06" i2="1"><s1>HARIDI (Seif)</s1>
</fA11><fA12 i1="01" i2="1"><s1>KOSCH (Harald)</s1>
<s9>ed.</s9>
</fA12><fA12 i1="02" i2="1"><s1>BOSZORMENYI (Laszlo)</s1>
<s9>ed.</s9>
</fA12><fA12 i1="03" i2="1"><s1>HELLWAGNER (Hermann)</s1>
<s9>ed.</s9>
</fA12><fA14 i1="01"><s1>SICS</s1>
<s2>Kista</s2>
<s3>SWE</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</fA14><fA14 i1="02"><s1>KTH/IMIT</s1>
<s2>Kista</s2>
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<sZ>6 aut.</sZ>
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</fA66><fC01 i1="01" l="ENG"><s0>We discuss a parallel implementation of an agent-based simulation. Our approach allows to adapt a sequential simulator for large-scale simulation on a cluster of workstations. We target discrete-time simulation models that capture the behavior of WWW. The real-world phenomena of emerged aggregated behavior of the Internet population is studied. The system distributes data among workstations, which allows large-scale simulations infeasible on a stand-alone computer. The model properties cause traffic between workstations proportional to partition sizes. Network latency is hidden by concurrent simulation of multiple users. The system is implemented in Mozart that provides multi-threading, dataflow variables, component-based software development, and network-transparency. Currently we can simulate up to 10<sup>6</sup>
Web users on 10<sup>4</sup>
Web sites using a cluster of 16 computers, which takes few seconds per simulation step, and for a problem of the same size, parallel simulation offers speedups between 11 and 14.</s0><fC02 i1="01" i2="X"><s0>001D02B04</s0>
</fC02><fC03 i1="01" i2="X" l="FRE"><s0>Simulateur</s0>
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<s5>01</s5>
</fC03><fC03 i1="01" i2="X" l="SPA"><s0>Simulador</s0>
<s5>01</s5>
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<s5>02</s5>
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<s5>02</s5>
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<s5>03</s5>
</fC03><fC03 i1="03" i2="X" l="SPA"><s0>Escala grande</s0>
<s5>03</s5>
</fC03><fC03 i1="04" i2="X" l="FRE"><s0>Station travail</s0>
<s5>04</s5>
</fC03><fC03 i1="04" i2="X" l="ENG"><s0>Workstation</s0>
<s5>04</s5>
</fC03><fC03 i1="04" i2="X" l="SPA"><s0>Estación trabajo</s0>
<s5>04</s5>
</fC03><fC03 i1="05" i2="X" l="FRE"><s0>Partition</s0>
<s5>05</s5>
</fC03><fC03 i1="05" i2="X" l="ENG"><s0>Partition</s0>
<s5>05</s5>
</fC03><fC03 i1="05" i2="X" l="SPA"><s0>Partición</s0>
<s5>05</s5>
</fC03><fC03 i1="06" i2="X" l="FRE"><s0>Flot donnée</s0>
<s5>06</s5>
</fC03><fC03 i1="06" i2="X" l="ENG"><s0>Data flow</s0>
<s5>06</s5>
</fC03><fC03 i1="06" i2="X" l="SPA"><s0>Flujo datos</s0>
<s5>06</s5>
</fC03><fC03 i1="07" i2="X" l="FRE"><s0>Développement logiciel</s0>
<s5>07</s5>
</fC03><fC03 i1="07" i2="X" l="ENG"><s0>Software development</s0>
<s5>07</s5>
</fC03><fC03 i1="07" i2="X" l="SPA"><s0>Desarrollo logicial</s0>
<s5>07</s5>
</fC03><fC03 i1="08" i2="X" l="FRE"><s0>Site Web</s0>
<s5>08</s5>
</fC03><fC03 i1="08" i2="X" l="ENG"><s0>Web site</s0>
<s5>08</s5>
</fC03><fC03 i1="08" i2="X" l="SPA"><s0>Sitio Web</s0>
<s5>08</s5>
</fC03><fC03 i1="09" i2="X" l="FRE"><s0>Système réparti</s0>
<s5>09</s5>
</fC03><fC03 i1="09" i2="X" l="ENG"><s0>Distributed system</s0>
<s5>09</s5>
</fC03><fC03 i1="09" i2="X" l="SPA"><s0>Sistema repartido</s0>
<s5>09</s5>
</fC03><fC03 i1="10" i2="X" l="FRE"><s0>Séquentiel</s0>
<s5>11</s5>
</fC03><fC03 i1="10" i2="X" l="ENG"><s0>Sequential</s0>
<s5>11</s5>
</fC03><fC03 i1="10" i2="X" l="SPA"><s0>Secuencial</s0>
<s5>11</s5>
</fC03><fC03 i1="11" i2="X" l="FRE"><s0>Réseau web</s0>
<s5>12</s5>
</fC03><fC03 i1="11" i2="X" l="ENG"><s0>World wide web</s0>
<s5>12</s5>
</fC03><fC03 i1="11" i2="X" l="SPA"><s0>Red WWW</s0>
<s5>12</s5>
</fC03><fC03 i1="12" i2="X" l="FRE"><s0>Réponse temporelle</s0>
<s5>13</s5>
</fC03><fC03 i1="12" i2="X" l="ENG"><s0>Time response</s0>
<s5>13</s5>
</fC03><fC03 i1="12" i2="X" l="SPA"><s0>Respuesta temporal</s0>
<s5>13</s5>
</fC03><fC03 i1="13" i2="X" l="FRE"><s0>Temps discret</s0>
<s5>21</s5>
</fC03><fC03 i1="13" i2="X" l="ENG"><s0>Discrete time</s0>
<s5>21</s5>
</fC03><fC03 i1="13" i2="X" l="SPA"><s0>Tiempo discreto</s0>
<s5>21</s5>
</fC03><fC03 i1="14" i2="X" l="FRE"><s0>Amas</s0>
<s5>22</s5>
</fC03><fC03 i1="14" i2="X" l="ENG"><s0>Cluster</s0>
<s5>22</s5>
</fC03><fC03 i1="14" i2="X" l="SPA"><s0>Montón</s0>
<s5>22</s5>
</fC03><fC03 i1="15" i2="X" l="FRE"><s0>Algorithme parallèle</s0>
<s5>23</s5>
</fC03><fC03 i1="15" i2="X" l="ENG"><s0>Parallel algorithm</s0>
<s5>23</s5>
</fC03><fC03 i1="15" i2="X" l="SPA"><s0>Algoritmo paralelo</s0>
<s5>23</s5>
</fC03><fN21><s1>089</s1>
</fN21><fN82><s1>PSI</s1>
</fN82><pR><fA30 i1="01" i2="1" l="ENG"><s1>International Euro-Par conference</s1>
<s2>9</s2>
<s3>Klagenfurt AUT</s3>
<s4>2003-08-26</s4>
</fA30><server><NO>PASCAL 04-0138793 INIST</NO>
<ET>Parallel agent-based simulation on a cluster of workstations</ET>
<AU>POPOV (Konstantin); VLASSOV (Vladimir); RAFEA (Mahmoud); HOLMGREN (Fredrik); BRAND (Per); HARIDI (Seif); KOSCH (Harald); BOSZORMENYI (Laszlo); HELLWAGNER (Hermann)</AU>
<AF>SICS/Kista/Suède (1 aut., 3 aut., 4 aut., 5 aut.); KTH/IMIT/Kista/Suède (2 aut., 6 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2003; Vol. 2790; Pp. 470-480; Bibl. 25 ref.</SO>
<LA>Anglais</LA>
<EA>We discuss a parallel implementation of an agent-based simulation. Our approach allows to adapt a sequential simulator for large-scale simulation on a cluster of workstations. We target discrete-time simulation models that capture the behavior of WWW. The real-world phenomena of emerged aggregated behavior of the Internet population is studied. The system distributes data among workstations, which allows large-scale simulations infeasible on a stand-alone computer. The model properties cause traffic between workstations proportional to partition sizes. Network latency is hidden by concurrent simulation of multiple users. The system is implemented in Mozart that provides multi-threading, dataflow variables, component-based software development, and network-transparency. Currently we can simulate up to 10<sup>6</sup>
Web users on 10<sup>4</sup>
Web sites using a cluster of 16 computers, which takes few seconds per simulation step, and for a problem of the same size, parallel simulation offers speedups between 11 and 14.</EA><CC>001D02B04</CC>
<FD>Simulateur; Internet; Echelle grande; Station travail; Partition; Flot donnée; Développement logiciel; Site Web; Système réparti; Séquentiel; Réseau web; Réponse temporelle; Temps discret; Amas; Algorithme parallèle</FD>
<ED>Simulator; Internet; Large scale; Workstation; Partition; Data flow; Software development; Web site; Distributed system; Sequential; World wide web; Time response; Discrete time; Cluster; Parallel algorithm</ED>
<SD>Simulador; Internet; Escala grande; Estación trabajo; Partición; Flujo datos; Desarrollo logicial; Sitio Web; Sistema repartido; Secuencial; Red WWW; Respuesta temporal; Tiempo discreto; Montón; Algoritmo paralelo</SD>
<LO>INIST-16343.354000117805180580</LO>
<ID>04-0138793</ID>
</server>
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