Intelligent Cloud Based Load Balancing System Empowered with Fuzzy Logic
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Khan, Atif Ishaq | - |
dc.contributor.author | Kazmi, Syed Asad Raza | - |
dc.contributor.author | Atta, Ayesha | - |
dc.contributor.author | Mushtaq, Muhammad Faheem | - |
dc.contributor.author | Idrees, Muhammad | - |
dc.contributor.author | Fakir, Ilyas | - |
dc.contributor.author | Safyan, Muhammad | - |
dc.contributor.author | Khan, Muhammad Adnan | - |
dc.contributor.author | Qasim, Awais | - |
dc.date.accessioned | 2021-06-14T06:41:08Z | - |
dc.date.available | 2021-06-14T06:41:08Z | - |
dc.date.created | 2021-06-14 | - |
dc.date.issued | 2021-04 | - |
dc.identifier.issn | 1546-2218 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/81299 | - |
dc.description.abstract | Cloud computing is seeking attention as a new computing paradigm to handle operations more efficiently and cost-effectively. Cloud computing uses dynamic resource provisioning and de-provisioning in a virtualized environment. The load on the cloud data centers is growing day by day due to the rapid growth in cloud computing demand. Elasticity in cloud computing is one of the fundamental properties, and elastic load balancing automatically distributes incoming load to multiple virtual machines. This work is aimed to introduce efficient resource provisioning and de-provisioning for better load balancing. In this article, a model is proposed in which the fuzzy logic approach is used for load balancing to avoid underload and overload of resources. A Simulator in Matlab is used to test the effectiveness and correctness of the proposed model. The simulation results have shown that our proposed intelligent cloud-based load balancing system empowered with fuzzy logic is better than previously published approaches. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | TECH SCIENCE PRESS | - |
dc.relation.isPartOf | CMC-COMPUTERS MATERIALS & CONTINUA | - |
dc.title | Intelligent Cloud Based Load Balancing System Empowered with Fuzzy Logic | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000608499100029 | - |
dc.identifier.doi | 10.32604/cmc.2021.013865 | - |
dc.identifier.bibliographicCitation | CMC-COMPUTERS MATERIALS & CONTINUA, v.67, no.1, pp.519 - 528 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85099401908 | - |
dc.citation.endPage | 528 | - |
dc.citation.startPage | 519 | - |
dc.citation.title | CMC-COMPUTERS MATERIALS & CONTINUA | - |
dc.citation.volume | 67 | - |
dc.citation.number | 1 | - |
dc.contributor.affiliatedAuthor | Khan, Muhammad Adnan | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Cloud computing | - |
dc.subject.keywordAuthor | fuzzy logic | - |
dc.subject.keywordAuthor | load balancing | - |
dc.subject.keywordPlus | ELASTICITY | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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