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dc.contributor.authorIsmayilova, Nigar-
dc.date.accessioned2023-04-28T23:02:11Z-
dc.date.available2023-04-28T23:02:11Z-
dc.date.issued2021-12-
dc.identifier.issn2616-6127-
dc.identifier.issn2617-4383-
dc.identifier.otherhttps://doi.org/10.32010/26166127.2021.4.2.198.205-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/71-
dc.description.abstractIn this paper were studied opportunities of using fuzzy sets theory for constructing an appropriate load balancing model in Exascale distributed systems. The occurrence of dynamic and interactive events in multicore computing systems leads to uncertainty. As the fuzzy logic-based solutions allow the management of uncertain environments, there are several approaches and useful challenges for the development of load balancing models in Exascale computing systems.en_US
dc.language.isoenen_US
dc.publisherAzerbaijan Journal of High Performance Computingen_US
dc.subjectFuzzy load balancingen_US
dc.subjectDynamic computing systemsen_US
dc.subjectHeterogenous distributed systemsen_US
dc.subjectDynamic and Interactive eventsen_US
dc.titleCHALLENGES OF USING THE FUZZY APPROACH IN EXASCALE COMPUTING SYSTEMSen_US
dc.typeArticleen_US
dc.source.journaltitleAzerbaijan Journal of High Performance Computingen_US
dc.source.volume4en_US
dc.source.issue2en_US
dc.source.beginpage198en_US
dc.source.endpage205en_US
dc.source.numberofpages8en_US
Appears in Collections:Azerbaijan Journal of High Performance Computing

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