Modelling cache expiration dates policies in content networks
Resumen:
Content networks are usually virtual networks based over the IP infrastructure of Internet or of a corporative network, which use mechanisms to allow accessing a content when there is no fixed, single, link between the content and the host or the hosts where this content is located. Even more, the content is usually subject to re-allocations, replications, and even deletions from the different nodes of the network. In the last years many different kinds of content networks have been developed and deployed in widely varying contexts: they include peer-to-peer networks, collaborative networks, cooperative Web caching, content distribution networks, subscribe-publish networks, content-based sensor networks, backup networks, distributed computing, instant messaging, and multiplayer games. As a general rule, every content network is actually a knowledge network, where the knowledge is the information about the location of the nodes where each specific content is to be found: this is "meta-information", in the sense of being the information about the information contents themselves. The objective of the network is to be able to answer each content query with the most complete possible set of nodes where this content is to be found; this corresponds to discover the content location in the most effective and efficient possible way. As both nodes and contents are continuously going in and out of the network, the task of maintaining updated the network meta-information is very difficult and represents an important communication cost. In this context, cache nodes are used to hold the available meta-information; as this information is continuously getting outdated, the cache nodes must decide when to discard it, which means increasing communication overhead for the sake of improving the quality of the answers. The policy employed for determining these cache expiration dates have a large impact in the performance of a network; this problem is related but at the same time
2006 | |
Peer-to-peer networks Mathematical programming Optimization |
|
Universidad de la República | |
COLIBRI | |
http://hdl.handle.net/20.500.12008/3536 | |
Acceso abierto | |
Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0) |
_version_ | 1807522944359858176 |
---|---|
author | Rodríguez Bocca, Pablo |
author2 | Cancela, Héctor |
author2_role | author |
author_facet | Rodríguez Bocca, Pablo Cancela, Héctor |
author_role | author |
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collection | COLIBRI |
dc.creator.none.fl_str_mv | Rodríguez Bocca, Pablo Cancela, Héctor |
dc.date.accessioned.none.fl_str_mv | 2014-12-02T16:07:42Z |
dc.date.available.none.fl_str_mv | 2014-12-02T16:07:42Z |
dc.date.issued.es.fl_str_mv | 2006 |
dc.date.submitted.es.fl_str_mv | 20141202 |
dc.description.abstract.none.fl_txt_mv | Content networks are usually virtual networks based over the IP infrastructure of Internet or of a corporative network, which use mechanisms to allow accessing a content when there is no fixed, single, link between the content and the host or the hosts where this content is located. Even more, the content is usually subject to re-allocations, replications, and even deletions from the different nodes of the network. In the last years many different kinds of content networks have been developed and deployed in widely varying contexts: they include peer-to-peer networks, collaborative networks, cooperative Web caching, content distribution networks, subscribe-publish networks, content-based sensor networks, backup networks, distributed computing, instant messaging, and multiplayer games. As a general rule, every content network is actually a knowledge network, where the knowledge is the information about the location of the nodes where each specific content is to be found: this is "meta-information", in the sense of being the information about the information contents themselves. The objective of the network is to be able to answer each content query with the most complete possible set of nodes where this content is to be found; this corresponds to discover the content location in the most effective and efficient possible way. As both nodes and contents are continuously going in and out of the network, the task of maintaining updated the network meta-information is very difficult and represents an important communication cost. In this context, cache nodes are used to hold the available meta-information; as this information is continuously getting outdated, the cache nodes must decide when to discard it, which means increasing communication overhead for the sake of improving the quality of the answers. The policy employed for determining these cache expiration dates have a large impact in the performance of a network; this problem is related but at the same time |
dc.format.extent.es.fl_str_mv | 6 p. |
dc.format.mimetype.es.fl_str_mv | application/pdf |
dc.identifier.citation.es.fl_str_mv | RODRÍGUEZ BOCCA, P., CANCELA BOSI, H. "Modelling cache expiration dates policies in content networks". Reportes Técnicos 06-23. UR. FI – INCO, 2006. |
dc.identifier.issn.es.fl_str_mv | 0797-6410 |
dc.identifier.uri.none.fl_str_mv | http://hdl.handle.net/20.500.12008/3536 |
dc.language.iso.none.fl_str_mv | in |
dc.publisher.es.fl_str_mv | UR. FI – INCO. |
dc.relation.ispartof.es.fl_str_mv | Reportes Técnicos 06-23 |
dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0) |
dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
dc.subject.es.fl_str_mv | Peer-to-peer networks Mathematical programming Optimization |
dc.title.none.fl_str_mv | Modelling cache expiration dates policies in content networks |
dc.type.es.fl_str_mv | Reporte técnico |
dc.type.none.fl_str_mv | info:eu-repo/semantics/report |
dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
description | Content networks are usually virtual networks based over the IP infrastructure of Internet or of a corporative network, which use mechanisms to allow accessing a content when there is no fixed, single, link between the content and the host or the hosts where this content is located. Even more, the content is usually subject to re-allocations, replications, and even deletions from the different nodes of the network. In the last years many different kinds of content networks have been developed and deployed in widely varying contexts: they include peer-to-peer networks, collaborative networks, cooperative Web caching, content distribution networks, subscribe-publish networks, content-based sensor networks, backup networks, distributed computing, instant messaging, and multiplayer games. As a general rule, every content network is actually a knowledge network, where the knowledge is the information about the location of the nodes where each specific content is to be found: this is "meta-information", in the sense of being the information about the information contents themselves. The objective of the network is to be able to answer each content query with the most complete possible set of nodes where this content is to be found; this corresponds to discover the content location in the most effective and efficient possible way. As both nodes and contents are continuously going in and out of the network, the task of maintaining updated the network meta-information is very difficult and represents an important communication cost. In this context, cache nodes are used to hold the available meta-information; as this information is continuously getting outdated, the cache nodes must decide when to discard it, which means increasing communication overhead for the sake of improving the quality of the answers. The policy employed for determining these cache expiration dates have a large impact in the performance of a network; this problem is related but at the same time |
eu_rights_str_mv | openAccess |
format | report |
id | COLIBRI_80ab5437a1c6518808fceb9582d8ee28 |
identifier_str_mv | RODRÍGUEZ BOCCA, P., CANCELA BOSI, H. "Modelling cache expiration dates policies in content networks". Reportes Técnicos 06-23. UR. FI – INCO, 2006. 0797-6410 |
instacron_str | Universidad de la República |
institution | Universidad de la República |
instname_str | Universidad de la República |
language_invalid_str_mv | in |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/3536 |
publishDate | 2006 |
reponame_str | COLIBRI |
repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
repository.name.fl_str_mv | COLIBRI - Universidad de la República |
repository_id_str | 4771 |
rights_invalid_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0) |
spelling | 2014-12-02T16:07:42Z2014-12-02T16:07:42Z200620141202RODRÍGUEZ BOCCA, P., CANCELA BOSI, H. "Modelling cache expiration dates policies in content networks". Reportes Técnicos 06-23. UR. FI – INCO, 2006.0797-6410http://hdl.handle.net/20.500.12008/3536Content networks are usually virtual networks based over the IP infrastructure of Internet or of a corporative network, which use mechanisms to allow accessing a content when there is no fixed, single, link between the content and the host or the hosts where this content is located. Even more, the content is usually subject to re-allocations, replications, and even deletions from the different nodes of the network. In the last years many different kinds of content networks have been developed and deployed in widely varying contexts: they include peer-to-peer networks, collaborative networks, cooperative Web caching, content distribution networks, subscribe-publish networks, content-based sensor networks, backup networks, distributed computing, instant messaging, and multiplayer games. As a general rule, every content network is actually a knowledge network, where the knowledge is the information about the location of the nodes where each specific content is to be found: this is "meta-information", in the sense of being the information about the information contents themselves. The objective of the network is to be able to answer each content query with the most complete possible set of nodes where this content is to be found; this corresponds to discover the content location in the most effective and efficient possible way. As both nodes and contents are continuously going in and out of the network, the task of maintaining updated the network meta-information is very difficult and represents an important communication cost. In this context, cache nodes are used to hold the available meta-information; as this information is continuously getting outdated, the cache nodes must decide when to discard it, which means increasing communication overhead for the sake of improving the quality of the answers. The policy employed for determining these cache expiration dates have a large impact in the performance of a network; this problem is related but at the same timeMade available in DSpace on 2014-12-02T16:07:42Z (GMT). No. of bitstreams: 5 TR0623.pdf: 138462 bytes, checksum: dbfa2ea755543a35a455de984458ad0a (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 20066 p.application/pdfinUR. FI – INCO.Reportes Técnicos 06-23Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)Peer-to-peer networksMathematical programmingOptimizationModelling cache expiration dates policies in content networksReporte técnicoinfo:eu-repo/semantics/reportinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaRodríguez Bocca, PabloCancela, 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spellingShingle | Modelling cache expiration dates policies in content networks Rodríguez Bocca, Pablo Peer-to-peer networks Mathematical programming Optimization |
status_str | publishedVersion |
title | Modelling cache expiration dates policies in content networks |
title_full | Modelling cache expiration dates policies in content networks |
title_fullStr | Modelling cache expiration dates policies in content networks |
title_full_unstemmed | Modelling cache expiration dates policies in content networks |
title_short | Modelling cache expiration dates policies in content networks |
title_sort | Modelling cache expiration dates policies in content networks |
topic | Peer-to-peer networks Mathematical programming Optimization |
url | http://hdl.handle.net/20.500.12008/3536 |