Implementation of IP Video Streaming Software to identify availability and audience.
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1105605 |
Resumo: | Abstract: The perpetual rise of the video on demand is currently one of the leading challenges the telecommunications industry faces. It per passes the eternal comparison with a service that continuously set?s the bar at a highly elevated consumer quality. And the user, advertiser and all stakeholders involved not only are used to it, but demand equal and/or similar value, i.e., Broadcast Television. Such dichotomy has made this relatively new medium create a long list of technologies to make this as viable as possible. However, the solutions only work to a certain extent and critical problems remain not yet addressed. One in particular is delivery assurance in Internet Protocol networks, which affects every stakeholder on these New Media outlets. Keeping this issue in mind, this work developed a range of experiment scenarios through a software-based apparatus in order to convey a technical assessment of key variables in this ecosystem. Afterwards, from these tests an analysis was conducted which brought about a series of discoveries in regards to the technology performance in terms of availability and audience. Ultimately, it culminated in one the central contributions of this research, that is, how to mathematically interpret this type of data indicating its statistical relations. Such methods unveiled impacts and feasibility of: Privacy protocols, mobile and landline connection, latency, delay, loading time, interactions volumes, content history, channel characteristics and user attributes. In other words, this work developed a tool to measure audience and availability in IP delivery. And, it also forged a method to interpret and model the measurements into statistical patterns that can provide predictability. Additionally, it is stated that the significance of this research was confirmed through the Law of Large Numbers, which showed that the data has statistical validity to interpret and envision behavior. That is, the work presents data with a reliability of 97% with a margin of error of 3.03% which confirms this, to the best of our knowledge, as the most comprehensive accurate study of this nature in comparison to the state of the art in the literature. It is also necessary to ascertain that the tool is restricted to measuring quantities related to each content displayed for the largest platform of online video and the most desktop utilized Web Browser, i.e., YouTube and Google Chrome. |
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Implementation of IP Video Streaming Software to identify availability and audience.AudiênciaAudienceConnection AvailabilityIP StreamSoftware AssessmentAnálise de DadosData analysisAbstract: The perpetual rise of the video on demand is currently one of the leading challenges the telecommunications industry faces. It per passes the eternal comparison with a service that continuously set?s the bar at a highly elevated consumer quality. And the user, advertiser and all stakeholders involved not only are used to it, but demand equal and/or similar value, i.e., Broadcast Television. Such dichotomy has made this relatively new medium create a long list of technologies to make this as viable as possible. However, the solutions only work to a certain extent and critical problems remain not yet addressed. One in particular is delivery assurance in Internet Protocol networks, which affects every stakeholder on these New Media outlets. Keeping this issue in mind, this work developed a range of experiment scenarios through a software-based apparatus in order to convey a technical assessment of key variables in this ecosystem. Afterwards, from these tests an analysis was conducted which brought about a series of discoveries in regards to the technology performance in terms of availability and audience. Ultimately, it culminated in one the central contributions of this research, that is, how to mathematically interpret this type of data indicating its statistical relations. Such methods unveiled impacts and feasibility of: Privacy protocols, mobile and landline connection, latency, delay, loading time, interactions volumes, content history, channel characteristics and user attributes. In other words, this work developed a tool to measure audience and availability in IP delivery. And, it also forged a method to interpret and model the measurements into statistical patterns that can provide predictability. Additionally, it is stated that the significance of this research was confirmed through the Law of Large Numbers, which showed that the data has statistical validity to interpret and envision behavior. That is, the work presents data with a reliability of 97% with a margin of error of 3.03% which confirms this, to the best of our knowledge, as the most comprehensive accurate study of this nature in comparison to the state of the art in the literature. It is also necessary to ascertain that the tool is restricted to measuring quantities related to each content displayed for the largest platform of online video and the most desktop utilized Web Browser, i.e., YouTube and Google Chrome.VITOR CHAVES DE OLIVEIRA, Mackenzie Presbyterian University (UPM), PUC-Campinas, IFSP; SÉRGIO BIMBI JUNIOR, IPT/USP; ANDREIWID SHEFFER CORRÊA, IFSP, IME/USP; INACIO HENRIQUE YANO, CNPTIA; MAURICIO BECKER, PUC-Campinas; PAULO BATISTA LOPES, UPM; GUNNAR BEDICKS JUNIOR, UPM.OLIVEIRA, V. C. deBIMBI JUNIOR, S.CORRÊA, A. S.YANO, I. H.BECKER, M.LOPES, P. B.BEDICKS JUNIOR, G.2019-02-06T23:41:13Z2019-02-06T23:41:13Z2019-02-0620182019-02-06T23:41:13Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleJournal of Computer Science, v. 14, n. 7, p. 881-907, 2018.http://www.alice.cnptia.embrapa.br/alice/handle/doc/110560510.3844/jcssp.2018.881.907enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2019-02-06T23:41:20Zoai:www.alice.cnptia.embrapa.br:doc/1105605Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542019-02-06T23:41:20falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-02-06T23:41:20Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Implementation of IP Video Streaming Software to identify availability and audience. |
title |
Implementation of IP Video Streaming Software to identify availability and audience. |
spellingShingle |
Implementation of IP Video Streaming Software to identify availability and audience. OLIVEIRA, V. C. de Audiência Audience Connection Availability IP Stream Software Assessment Análise de Dados Data analysis |
title_short |
Implementation of IP Video Streaming Software to identify availability and audience. |
title_full |
Implementation of IP Video Streaming Software to identify availability and audience. |
title_fullStr |
Implementation of IP Video Streaming Software to identify availability and audience. |
title_full_unstemmed |
Implementation of IP Video Streaming Software to identify availability and audience. |
title_sort |
Implementation of IP Video Streaming Software to identify availability and audience. |
author |
OLIVEIRA, V. C. de |
author_facet |
OLIVEIRA, V. C. de BIMBI JUNIOR, S. CORRÊA, A. S. YANO, I. H. BECKER, M. LOPES, P. B. BEDICKS JUNIOR, G. |
author_role |
author |
author2 |
BIMBI JUNIOR, S. CORRÊA, A. S. YANO, I. H. BECKER, M. LOPES, P. B. BEDICKS JUNIOR, G. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
VITOR CHAVES DE OLIVEIRA, Mackenzie Presbyterian University (UPM), PUC-Campinas, IFSP; SÉRGIO BIMBI JUNIOR, IPT/USP; ANDREIWID SHEFFER CORRÊA, IFSP, IME/USP; INACIO HENRIQUE YANO, CNPTIA; MAURICIO BECKER, PUC-Campinas; PAULO BATISTA LOPES, UPM; GUNNAR BEDICKS JUNIOR, UPM. |
dc.contributor.author.fl_str_mv |
OLIVEIRA, V. C. de BIMBI JUNIOR, S. CORRÊA, A. S. YANO, I. H. BECKER, M. LOPES, P. B. BEDICKS JUNIOR, G. |
dc.subject.por.fl_str_mv |
Audiência Audience Connection Availability IP Stream Software Assessment Análise de Dados Data analysis |
topic |
Audiência Audience Connection Availability IP Stream Software Assessment Análise de Dados Data analysis |
description |
Abstract: The perpetual rise of the video on demand is currently one of the leading challenges the telecommunications industry faces. It per passes the eternal comparison with a service that continuously set?s the bar at a highly elevated consumer quality. And the user, advertiser and all stakeholders involved not only are used to it, but demand equal and/or similar value, i.e., Broadcast Television. Such dichotomy has made this relatively new medium create a long list of technologies to make this as viable as possible. However, the solutions only work to a certain extent and critical problems remain not yet addressed. One in particular is delivery assurance in Internet Protocol networks, which affects every stakeholder on these New Media outlets. Keeping this issue in mind, this work developed a range of experiment scenarios through a software-based apparatus in order to convey a technical assessment of key variables in this ecosystem. Afterwards, from these tests an analysis was conducted which brought about a series of discoveries in regards to the technology performance in terms of availability and audience. Ultimately, it culminated in one the central contributions of this research, that is, how to mathematically interpret this type of data indicating its statistical relations. Such methods unveiled impacts and feasibility of: Privacy protocols, mobile and landline connection, latency, delay, loading time, interactions volumes, content history, channel characteristics and user attributes. In other words, this work developed a tool to measure audience and availability in IP delivery. And, it also forged a method to interpret and model the measurements into statistical patterns that can provide predictability. Additionally, it is stated that the significance of this research was confirmed through the Law of Large Numbers, which showed that the data has statistical validity to interpret and envision behavior. That is, the work presents data with a reliability of 97% with a margin of error of 3.03% which confirms this, to the best of our knowledge, as the most comprehensive accurate study of this nature in comparison to the state of the art in the literature. It is also necessary to ascertain that the tool is restricted to measuring quantities related to each content displayed for the largest platform of online video and the most desktop utilized Web Browser, i.e., YouTube and Google Chrome. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2019-02-06T23:41:13Z 2019-02-06T23:41:13Z 2019-02-06 2019-02-06T23:41:13Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Journal of Computer Science, v. 14, n. 7, p. 881-907, 2018. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1105605 10.3844/jcssp.2018.881.907 |
identifier_str_mv |
Journal of Computer Science, v. 14, n. 7, p. 881-907, 2018. 10.3844/jcssp.2018.881.907 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1105605 |
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.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
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EMBRAPA |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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