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Traffic Management in Rural Networks

datacite.subject.fosCiências Naturais::Matemáticas
datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorEmiliano, Rodrigo
dc.contributor.authorSilva, Fernando
dc.contributor.authorFrazão, Luis Alexandre Lopes
dc.contributor.authorBarroso, João
dc.contributor.authorPereira, António
dc.date.accessioned2025-07-02T11:18:07Z
dc.date.available2025-07-02T11:18:07Z
dc.date.issued2014
dc.description3rd International Conference on Design, User Experience, and Usability: User Experience Design for Everyday Life Applications and Services, DUXU 2014, Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014, 22 June 2014 through 27 June 2014 - Code 107057
dc.descriptionEISBN - 9783319076355
dc.descriptionEmiliano, Rodrigo - Scopus ID: 56335678300
dc.description.abstractThe internet is increasingly present in people's lives, being used in diverse tasks, such as checking e-mail up to online gaming and streaming. The so-called "killer applications" are applications that, when not properly identified and prevented, have more impact on the network, making it slow. When these applications are used on networks with limited resources, as happens in rural networks, they cause a large load on the network, making it difficult its use for work purposes. It is important then to recognize and characterize this traffic to take action so that it does not cause network problems. With that in mind, the work presented in this paper describes the research and identification of cost free traffic analysis solutions that can help to overcome such problems. For that, we perform preliminary testing and a performance comparison of those tools, focusing on testing particular types of network traffic. After that, we describe the analysis and subsequent modification of the source code for storing important traffic data for the tests, as well as the test scenarios in laboratory and real-life environments. These tasks are aimed on collecting information that assists in taking action to improve the allocation of network resources to priority traffic.eng
dc.identifier.citationEmiliano, R., Silva, F., Frazão, L., Barroso, J., Pereira, A. (2014). Traffic Management in Rural Networks. In: Marcus, A. (eds) Design, User Experience, and Usability. User Experience Design for Everyday Life Applications and Services. DUXU 2014. Lecture Notes in Computer Science, vol 8519. Springer, Cham. https://doi.org/10.1007/978-3-319-07635-5_44.
dc.identifier.doi10.1007/978-3-319-07635-5_44
dc.identifier.eissn1611-3349
dc.identifier.isbn9783319076348
dc.identifier.isbn9783319076355
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10400.8/13506
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-319-07635-5_44
dc.relation.ispartofLecture Notes in Computer Science
dc.relation.ispartofDesign, User Experience, and Usability. User Experience Design for Everyday Life Applications and Services
dc.rights.uriN/A
dc.subjectInternet
dc.subjectNetwork Traffic
dc.subjectRural Networks
dc.subjectTraffic Analysis
dc.subjectDeep Packet Inspection
dc.titleTraffic Management in Rural Networkseng
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage461
oaire.citation.issue3
oaire.citation.startPage452
oaire.citation.titleLecture Notes in Computer Science
oaire.citation.volume8519
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSilva
person.familyNameFrazão
person.familyNamePereira
person.givenNameFernando
person.givenNameLuis Alexandre Lopes
person.givenNameAntónio
person.identifier.ciencia-id9D19-84F9-F1CA
person.identifier.ciencia-idE215-4F0F-33EC
person.identifier.orcid0000-0001-9335-1851
person.identifier.orcid0000-0003-2571-7940
person.identifier.orcid0000-0001-5062-1241
person.identifier.ridM-6163-2013
person.identifier.scopus-author-id24402946400
person.identifier.scopus-author-id7402230199
relation.isAuthorOfPublication2db213d9-a071-4f43-9544-1295ebb6ffde
relation.isAuthorOfPublicationca5eb30e-6459-4800-89ee-45f40ac7ca67
relation.isAuthorOfPublication6320b167-2323-4699-bf04-9288d3f603c0
relation.isAuthorOfPublication.latestForDiscovery2db213d9-a071-4f43-9544-1295ebb6ffde

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The internet is increasingly present in people's lives, being used in diverse tasks, such as checking e-mail up to online gaming and streaming. The so-called "killer applications" are applications that, when not properly identified and prevented, have more impact on the network, making it slow. When these applications are used on networks with limited resources, as happens in rural networks, they cause a large load on the network, making it difficult its use for work purposes. It is important then to recognize and characterize this traffic to take action so that it does not cause network problems. With that in mind, the work presented in this paper describes the research and identification of cost free traffic analysis solutions that can help to overcome such problems. For that, we perform preliminary testing and a performance comparison of those tools, focusing on testing particular types of network traffic. After that, we describe the analysis and subsequent modification of the source code for storing important traffic data for the tests, as well as the test scenarios in laboratory and real-life environments. These tasks are aimed on collecting information that assists in taking action to improve the allocation of network resources to priority traffic.
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