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Load Balancing in Software-Defined Data Centre with Fat Tree Architecture

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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.accessioned2023-05-29T09:39:36Z
dc.date.available2023-05-29T09:39:36Z
dc.date.issued2022
dc.descriptionDigital storage; Forestry; Information management; Network architecture; Network routing; Software defined networking; Traffic congestion; Trees (mathematics); Computer servers; Data center systems; Datacenter; Fat trees; Load balancing technique; Load-Balancing; Networked computers; Quality-of-service; Software-defined data center; Tree architectures; Quality of serviceen_US
dc.description.abstractSoftware-defined data centres have emerged as an automated and virtualized platform for the management of networked computer servers in providing services to organizations and customers. Given the fast increase in demand by different applications on storage, the challenge is to keep up with performance requirements by avoiding bottlenecks in the network. Some examples of these applications are Google Drive, YouTube, and Megaupload. Data centre systems are intended to fulfill the information transmission request of tightly interrelated hosts with the network topology and routing devices playing a part in influencing the latency and other network performances. At present, the fat-Tree network is among the most generally utilized topologies for data centre systems. As traffic demand increases in the data centres, the traffic load needs to be shared between servers and inevitably load balancing is required. In software-defined data centres with software-defined networks, the key to load balancing is in the form of smart congestion-conscious routing. It is an important element in promoting the accessibility and adaptability that further prompts to accomplish a minimal reaction application time. This paper reviews load balancing techniques in software-defined data centres with the fat-Tree architecture. Load balancing techniques have become smarter and more effective over the years with reductions on overhead statistical collection and improvement in the quality of service. Nevertheless, focus on optimal energy usage is another dimension that can be investigated in promoting green computing. � 2022 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ICSSA54161.2022.9870977
dc.identifier.epage49
dc.identifier.scopus2-s2.0-85138740727
dc.identifier.spage45
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85138740727&doi=10.1109%2fICSSA54161.2022.9870977&partnerID=40&md5=a3a681a0328e6dcd8c41bab33d3cceb4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27104
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.titleLoad Balancing in Software-Defined Data Centre with Fat Tree Architectureen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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