Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs

Detalhes bibliográficos
Autor(a) principal: Mário Ferreira
Data de Publicação: 2009
Outros Autores: José Queirós, Ricardo Morla
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/69970
Resumo: Massive multiplayer online games (MMOGs) are increasingly popular because they provide entertainment, numerous opportunities for socialization, and the ability for users to make money. Cornerstone to MMOGs is the underlying network traffic between MMOG clients and servers; understanding this traffic is important for application developers trying to optimize game performance and for ISPs trying to provide a better quality of service for their customers. This paper goes a step forward in helping to understand MMOG network traffic as it describes an automated approach to collect traffic samples and map them to specific in-world actions in the MMOG game Second LifeTM. We show the validity of our approach by collecting 10 samples from 8 different actions, characterizing these samples, and grouping samples by action using a k-means clustering algorithm.
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spelling Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGsEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringMassive multiplayer online games (MMOGs) are increasingly popular because they provide entertainment, numerous opportunities for socialization, and the ability for users to make money. Cornerstone to MMOGs is the underlying network traffic between MMOG clients and servers; understanding this traffic is important for application developers trying to optimize game performance and for ISPs trying to provide a better quality of service for their customers. This paper goes a step forward in helping to understand MMOG network traffic as it describes an automated approach to collect traffic samples and map them to specific in-world actions in the MMOG game Second LifeTM. We show the validity of our approach by collecting 10 samples from 8 different actions, characterizing these samples, and grouping samples by action using a k-means clustering algorithm.20092009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/69970engMário FerreiraJosé QueirósRicardo Morlainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T12:39:07Zoai:repositorio-aberto.up.pt:10216/69970Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:24:10.258758Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs
title Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs
spellingShingle Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs
Mário Ferreira
Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
title_short Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs
title_full Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs
title_fullStr Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs
title_full_unstemmed Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs
title_sort Automatic retrieval of network traffic data for analysis of network-in-world action relations in MMOGs
author Mário Ferreira
author_facet Mário Ferreira
José Queirós
Ricardo Morla
author_role author
author2 José Queirós
Ricardo Morla
author2_role author
author
dc.contributor.author.fl_str_mv Mário Ferreira
José Queirós
Ricardo Morla
dc.subject.por.fl_str_mv Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
topic Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
description Massive multiplayer online games (MMOGs) are increasingly popular because they provide entertainment, numerous opportunities for socialization, and the ability for users to make money. Cornerstone to MMOGs is the underlying network traffic between MMOG clients and servers; understanding this traffic is important for application developers trying to optimize game performance and for ISPs trying to provide a better quality of service for their customers. This paper goes a step forward in helping to understand MMOG network traffic as it describes an automated approach to collect traffic samples and map them to specific in-world actions in the MMOG game Second LifeTM. We show the validity of our approach by collecting 10 samples from 8 different actions, characterizing these samples, and grouping samples by action using a k-means clustering algorithm.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/book
format book
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/69970
url https://hdl.handle.net/10216/69970
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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