Mean field calculation for optical grid dimensioning
For traditional optical network dimensioning, a plethora of algorithms exists to design the amount of network resources required to accommodate a given amount of traffic, expressed as a (source, destination)-based traffic matrix. In optical Grid dimensioning, however, the anycast principle applies:...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2010
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/28117
- Acceso en línea:
- https://doi.org/10.1364/JOCN.2.000355
https://repository.urosario.edu.co/handle/10336/28117
- Palabra clave:
- Algorithms
Hybrid circuits
Network topology
Optical networks
Particle physics
Routing algorithms
- Rights
- License
- Restringido (Acceso a grupos específicos)
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420ab075-a640-42a6-8323-60ddd335b36390f4296b-78eb-4a0d-a094-26e0f689970e8003520260054578aaa-3c7d-44cc-8188-b31919e659379c32517c-3382-45a0-8fef-569a9a351f122020-08-19T14:45:53Z2020-08-19T14:45:53Z2010For traditional optical network dimensioning, a plethora of algorithms exists to design the amount of network resources required to accommodate a given amount of traffic, expressed as a (source, destination)-based traffic matrix. In optical Grid dimensioning, however, the anycast principle applies: Grid users do not really care where exactly their tasks (Grid jobs) end up being executed. Thus, the destination of traffic is not known beforehand and traditional dimensioning algorithms are not applicable. In this paper we propose a mean field calculation method to analytically derive the traffic matrix for given job arrival intensities at the originating Grid sites (the sources). We also indicate how it can be integrated in a stepwise dimensioning approach to compute not only the amount of network resources, but also Grid resources (computational and/or storage). Hence it forms part of a solution for Grid dimensioning: determining how many servers to provide, where to place them, and which network to install for interconnecting server sites and users generating Grid jobs.application/pdfhttps://doi.org/10.1364/JOCN.2.000355ISSN: 1943-0620EISSN: 1943-0639https://repository.urosario.edu.co/handle/10336/28117engOptical Society of America367No. 6355Journal of Optical Communications and NetworkingVol. 2Journal of Optical Communications and Networking, ISSN: 1943-0620;EISSN: 1943-0639, Vol.2, No.6 (2010); pp. 355-367https://www.osapublishing.org/jocn/viewmedia.cfm?uri=jocn-2-6-355&seq=0&html=trueRestringido (Acceso a grupos específicos)http://purl.org/coar/access_right/c_16ecJournal of Optical Communications and Networkinginstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURAlgorithmsHybrid circuitsNetwork topologyOptical networksParticle physicsRouting algorithmsMean field calculation for optical grid dimensioningCálculo de campo medio para dimensionamiento de rejilla ópticaarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Van Houdt, BennyDevelder, ChrisPérez, Juan F.Pickavet, MarioDhoedt, Bart10336/28117oai:repository.urosario.edu.co:10336/281172021-09-23 12:41:31.664https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Mean field calculation for optical grid dimensioning |
dc.title.TranslatedTitle.spa.fl_str_mv |
Cálculo de campo medio para dimensionamiento de rejilla óptica |
title |
Mean field calculation for optical grid dimensioning |
spellingShingle |
Mean field calculation for optical grid dimensioning Algorithms Hybrid circuits Network topology Optical networks Particle physics Routing algorithms |
title_short |
Mean field calculation for optical grid dimensioning |
title_full |
Mean field calculation for optical grid dimensioning |
title_fullStr |
Mean field calculation for optical grid dimensioning |
title_full_unstemmed |
Mean field calculation for optical grid dimensioning |
title_sort |
Mean field calculation for optical grid dimensioning |
dc.subject.keyword.spa.fl_str_mv |
Algorithms Hybrid circuits Network topology Optical networks Particle physics Routing algorithms |
topic |
Algorithms Hybrid circuits Network topology Optical networks Particle physics Routing algorithms |
description |
For traditional optical network dimensioning, a plethora of algorithms exists to design the amount of network resources required to accommodate a given amount of traffic, expressed as a (source, destination)-based traffic matrix. In optical Grid dimensioning, however, the anycast principle applies: Grid users do not really care where exactly their tasks (Grid jobs) end up being executed. Thus, the destination of traffic is not known beforehand and traditional dimensioning algorithms are not applicable. In this paper we propose a mean field calculation method to analytically derive the traffic matrix for given job arrival intensities at the originating Grid sites (the sources). We also indicate how it can be integrated in a stepwise dimensioning approach to compute not only the amount of network resources, but also Grid resources (computational and/or storage). Hence it forms part of a solution for Grid dimensioning: determining how many servers to provide, where to place them, and which network to install for interconnecting server sites and users generating Grid jobs. |
publishDate |
2010 |
dc.date.created.spa.fl_str_mv |
2010 |
dc.date.accessioned.none.fl_str_mv |
2020-08-19T14:45:53Z |
dc.date.available.none.fl_str_mv |
2020-08-19T14:45:53Z |
dc.type.eng.fl_str_mv |
article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.spa.spa.fl_str_mv |
Artículo |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1364/JOCN.2.000355 |
dc.identifier.issn.none.fl_str_mv |
ISSN: 1943-0620 EISSN: 1943-0639 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/28117 |
url |
https://doi.org/10.1364/JOCN.2.000355 https://repository.urosario.edu.co/handle/10336/28117 |
identifier_str_mv |
ISSN: 1943-0620 EISSN: 1943-0639 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
367 |
dc.relation.citationIssue.none.fl_str_mv |
No. 6 |
dc.relation.citationStartPage.none.fl_str_mv |
355 |
dc.relation.citationTitle.none.fl_str_mv |
Journal of Optical Communications and Networking |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 2 |
dc.relation.ispartof.spa.fl_str_mv |
Journal of Optical Communications and Networking, ISSN: 1943-0620;EISSN: 1943-0639, Vol.2, No.6 (2010); pp. 355-367 |
dc.relation.uri.spa.fl_str_mv |
https://www.osapublishing.org/jocn/viewmedia.cfm?uri=jocn-2-6-355&seq=0&html=true |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_16ec |
dc.rights.acceso.spa.fl_str_mv |
Restringido (Acceso a grupos específicos) |
rights_invalid_str_mv |
Restringido (Acceso a grupos específicos) http://purl.org/coar/access_right/c_16ec |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Optical Society of America |
dc.source.spa.fl_str_mv |
Journal of Optical Communications and Networking |
institution |
Universidad del Rosario |
dc.source.instname.none.fl_str_mv |
instname:Universidad del Rosario |
dc.source.reponame.none.fl_str_mv |
reponame:Repositorio Institucional EdocUR |
repository.name.fl_str_mv |
Repositorio institucional EdocUR |
repository.mail.fl_str_mv |
edocur@urosario.edu.co |
_version_ |
1808390804319764480 |