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A Bio-Inspired Territorial Predator Scent Marking Algorithm in Software-Defined Data Center

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dc.contributor.authorHacham S.en_US
dc.contributor.authorDin N.M.en_US
dc.contributor.authorBalasubramanian N.en_US
dc.contributor.authorid57904762900en_US
dc.contributor.authorid9335429400en_US
dc.contributor.authorid57903744800en_US
dc.date.accessioned2023-05-29T09:39:39Z
dc.date.available2023-05-29T09:39:39Z
dc.date.issued2022
dc.descriptionBiomimetics; Forestry; Network architecture; Trees (mathematics); Data center networks; Data-transmission; Datacenter; Fat trees; Marking algorithm; Mininet; Openflow; Quality-of-service; Routing techniques; SDN; Quality of serviceen_US
dc.description.abstractData centre networks are intended to meet the data transmission needs of the data centre's highly networked hosts. The network architecture and routing technique can have a major impact on performance parameters such as latency. The fat-Tree network is now one of the most popular data centre network architectures. In recent times, data centre network traffic has been steadily expanding. Because of the high volume of traffic, it is nearly impossible for a single server to satisfy all the client's requests. In this paper, a bio-inspired Territorial Predator Scent Marking Algorithm (TPSMA) is proposed for load balancing in a fat-Tree software-defined data centre. The bio-inspired algorithm was developed to increase network Quality of Service (QoS). The proposed technique is validated using the network emulator Mininet, with the Open Network Operating System ONOS controller. The performance study conducted showed that the throughput and network utilization were improved, hence improving the QoS. � 2022 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ICSSA54161.2022.9870932
dc.identifier.epage53
dc.identifier.scopus2-s2.0-85138677452
dc.identifier.spage50
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85138677452&doi=10.1109%2fICSSA54161.2022.9870932&partnerID=40&md5=1393d9ae1b5285651265ecbc17361973
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27108
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle4th International Conference on Smart Sensors and Application: Digitalization for Societal Well-Being, ICSSA 2022
dc.titleA Bio-Inspired Territorial Predator Scent Marking Algorithm in Software-Defined Data Centeren_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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