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Analysis Model in the Cloud Optimization Consumption in Pricing the Internet Bandwidt

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 6 (2018)

DOI
10.11591/ijece.v8i6.pp4391-4397
ISSN
2088-8708, 2088-8708
Published
2018-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

The problem of internet pricing is a problem that is often a major problem in optimization. In this study, the internet pricing scheme focuses on optimizing the use of bandwidth consumption. This research utilizes modification of cloud model in finding optimal solution in network. Cloud computing is computational model which is like network, server, storage and service that is utilizing internet connection. As ISP's Internet service provider requires appropriate pricing schemes in order to maximize revenue and provide quality of service (Quality on Service) or QoS so as to satisfy internet users or users. The model used will be completed with the help of LINGO software program to get optimal solution and accurate result. Based on the optimal solution obtained from the modification of the cloud model can be utilized ISP to maximize revenue and provide services in accordance with needs and requests.

Collaboration network of the authors

40 authors · 82 co-authorship links · 6 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Sriwijaya University
  • Universitas Halu Oleo
  • Politeknik Negeri Lhokseumawe
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Evi YulizaSriwijaya University5
Muhsin MuhsinAffiliation unknown3
Sisca OctarinaSriwijaya University3
Robinson SitepuSriwijaya University2
Yusuf SabiluUniversitas Halu Oleo2
Oki DwipurwaniAffiliation unknown2
Siti Suzlin SupadiAffiliation unknown2
Irmeilyana IrmeilyanaPoliteknik Negeri Lhokseumawe2
Rahayu Tamy AgustinSriwijaya University2
Anggi Nurul PratiwiSriwijaya University1
Icha Puspita NovyastiSriwijaya University1
Yusuf HartonoSriwijaya University1
Nadia Zuliaty SyaputriSriwijaya University1
Weni Dwi PratiwiSriwijaya University1
Elika KurniadiSriwijaya University1
Yunita YunitaSriwijaya University1
Shintya ApriliyaniSriwijaya University1
Ani Sahara Br. SimanjuntakSriwijaya University1
Rima MelatiSriwijaya University1
Nurhayu MalikAffiliation unknown1
St. MantasiaAffiliation unknown1
H. M. NasirunAffiliation unknown1
Yulidesni YulidesniAffiliation unknown1
Feri FadlinAffiliation unknown1
Andi Baso Sofyan A. P.Affiliation unknown1
Zalili SailanAffiliation unknown1
Ketut SuardikaAffiliation unknown1
Sitti Wirdhana AhmadAffiliation unknown1
Nurul AzizahAffiliation unknown1
Nur InsaniAffiliation unknown1
Puji Fitria ZainalAffiliation unknown1
Amirullah AmirullahAffiliation unknown1
Muhammad Bayu SantosoAffiliation unknown1
Sri AmbardiniUniversitas Halu Oleo1
Harmonika NyiliantriAffiliation unknown1
Ramadhan TosepuUniversitas Halu Oleo1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Oct 2026, last seen 1 Nov 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Analysis Model in the Cloud Optimization Consumption in Pricing the Internet Bandwidt</dc:title><dc:creator>Indrawati, Indrawati</dc:creator><dc:creator>Puspita, Fitri Maya</dc:creator><dc:creator>Erlita, Sri</dc:creator><dc:creator>Nadeak, Inosensius</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;p&amp;gt;The problem of internet pricing is a problem that is often a major problem in optimization. In this study, the internet pricing scheme focuses on optimizing the use of bandwidth consumption. This research utilizes modification of cloud model in finding optimal solution in network. Cloud computing is computational model which is like network, server, storage and service that is utilizing internet connection. As ISP's Internet service provider requires appropriate pricing schemes in order to maximize revenue and provide quality of service (Quality on Service) or QoS so as to satisfy internet users or users. The model used will be completed with the help of LINGO software program to get optimal solution and accurate result. Based on the optimal solution obtained from the modification of the cloud model can be utilized ISP to maximize revenue and provide services in accordance with needs and requests.&amp;lt;/p&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2018-12-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v8i6.pp4391-4397</dc:identifier><dc:identifier>10.11591/ijece.v8i6.pp4391-4397</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 8 No 6 (2018); 4391</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/9951/11227</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>