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DEVELOPMENT OF LOAD BALANCING MECHANISMS IN SDN DATA PLANE FAT TREE USING MODIFIED DIJKSTRA’S ALGORITHM

JUTI: Jurnal Ilmiah Teknologi Informasi · Vol. 18 No. 2 (2020) · pp. 197–208

DOI
10.12962/j24068535.v18i2.a1008
ISSN
2406-8535, 1412-6389
Published
2020-07-31
Publisher
Institut Teknologi Sepuluh Nopember
Language
eng

Abstract

SDN is a computer network approach that allows network administrators to manage network services through the abstraction of functionality at a higher level, by separating systems that make decisions about where traffic is sent (control plane), then forwarding traffic to the chosen destination (data plane). SDN can have problems with network congestion, high latency, and decreased throughput due to unbalanced traffic allocation on available links, so a load-balancing load method is needed. This technique divides the entire load evenly on each component of the network on the path or path that connects the data plane and S-D (Source Destination) host. The Least Loaded Path (LLP) of our proposed concept, which is a Dijkstra development, selects the best path by finding the shortest path and the smallest traffic load, the smallest traffic load (minimum cost) obtained from the sum of tx and rx data in the switchport data plane involved in the test, this result which will then be determined as the best path in the load balancing process.

Collaboration network of the authors

40 authors · 65 co-authorship links · 3 across different organisations · showing the 40 most connected

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  • Institut Teknologi Sepuluh Nopember
  • Universitas Dian Nuswantoro
  • Universitas Internasional Semen Indonesia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Febriliyan SamopaInstitut Teknologi Sepuluh Nopember4
Hendro Eko PrabowoInstitut Teknologi Sepuluh Nopember2
Radityo AnggoroInstitut Teknologi Sepuluh Nopember2
Arief PrasetyoInstitut Teknologi Sepuluh Nopember2
Dino Budi PrakosoInstitut Teknologi Sepuluh Nopember2
Akbar Pandu SegaraInstitut Teknologi Sepuluh Nopember2
Solichul HudaUniversitas Dian Nuswantoro1
Riyanarto SarnoInstitut Teknologi Sepuluh Nopember1
Henning Titi CiptaningtyasInstitut Teknologi Sepuluh Nopember1
Panji Arya LumayungAffiliation unknown1
Rully SoelaimanInstitut Teknologi Sepuluh Nopember1
Esther HanajaInstitut Teknologi Sepuluh Nopember1
Liga AwamiAffiliation unknown1
Hindrawan ArisAffiliation unknown1
Nur Aini RakhmawatiAffiliation unknown1
Muchammad HusniInstitut Teknologi Sepuluh Nopember1
Januar BisaptantoAffiliation unknown1
Muhammad HolilAffiliation unknown1
Yohanes I. RiskajayaInstitut Teknologi Sepuluh Nopember1
Doni Setio PambudiUniversitas Internasional Semen Indonesia1
Indera Zainul MuttaqienInstitut Teknologi Sepuluh Nopember1
Asad ArismadhaniAffiliation unknown1
I Nyoman Trisna WirawanInstitut Teknologi Sepuluh Nopember1
Lidya Amalia RahmaniaAffiliation unknown1
Baskoro Adi PratomoInstitut Teknologi Sepuluh Nopember1
Yogi KurniawanInstitut Teknologi Sepuluh Nopember1
Faishal Halim SaputraInstitut Teknologi Sepuluh Nopember1
Erna AuparayInstitut Teknologi Sepuluh Nopember1
Hudan StudiawanInstitut Teknologi Sepuluh Nopember1
Amirullah AmirullahInstitut Teknologi Sepuluh Nopember1
Vynska Amalia PermadiAffiliation unknown1
Bagus Jati SantosoInstitut Teknologi Sepuluh Nopember1
Taufiq Odhi Dwi PutraInstitut Teknologi Sepuluh Nopember1
Adi Surya Suwardi AnsyahInstitut Teknologi Sepuluh Nopember1
Miftahol ArifinInstitut Teknologi Sepuluh Nopember1
Tiara Rahmania HadiningrumInstitut Teknologi Sepuluh Nopember1
Resky Ayu Dewi TalasariInstitut Teknologi Sepuluh Nopember1

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.

Metadata source: OAI-PMH (metadata jurnal) https://juti.if.its.ac.id/index.php/juti/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en">DEVELOPMENT OF LOAD BALANCING MECHANISMS IN SDN DATA PLANE FAT TREE USING MODIFIED DIJKSTRA’S ALGORITHM</dc:title>
	<dc:creator xml:lang="en">Rangkuty, Muhammad Fattahilah</dc:creator>
	<dc:creator xml:lang="en">Ijtihadie, Royyana Muslim</dc:creator>
	<dc:creator xml:lang="en">Ahmad, Tohari</dc:creator>
	<dc:description xml:lang="en">SDN is a computer network approach that allows network administrators to manage network services through the abstraction of functionality at a higher level, by separating systems that make decisions about where traffic is sent (control plane), then forwarding traffic to the chosen destination (data plane). SDN can have problems with network congestion, high latency, and decreased throughput due to unbalanced traffic allocation on available links, so a load-balancing load method is needed. This technique divides the entire load evenly on each component of the network on the path or path that connects the data plane and S-D (Source Destination) host. The Least Loaded Path (LLP) of our proposed concept, which is a Dijkstra development, selects the best path by finding the shortest path and the smallest traffic load, the smallest traffic load (minimum cost) obtained from the sum of tx and rx data in the switchport data plane involved in the test, this result which will then be determined as the best path in the load balancing process.</dc:description>
	<dc:publisher xml:lang="en">Institut Teknologi Sepuluh Nopember</dc:publisher>
	<dc:date>2020-07-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
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	<dc:identifier>https://juti.if.its.ac.id/index.php/juti/article/view/1008</dc:identifier>
	<dc:identifier>10.12962/j24068535.v18i2.a1008</dc:identifier>
	<dc:source xml:lang="en">JUTI: Jurnal Ilmiah Teknologi Informasi; Vol. 18, No. 2, July 2020; 197-208</dc:source>
	<dc:source>2406-8535</dc:source>
	<dc:source>1412-6389</dc:source>
	<dc:source>10.12962/j24068535.v18i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://juti.if.its.ac.id/index.php/juti/article/view/1008/434</dc:relation>
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