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dc.contributor.authorIsmayilova, Nigar T.-
dc.date.accessioned2023-04-28T20:46:31Z-
dc.date.available2023-04-28T20:46:31Z-
dc.date.issued2020-12-
dc.identifier.issn2616-6127-
dc.identifier.issn2617-4383-
dc.identifier.otherhttps://doi.org/10.32010/26166127.2020.3.2.190.195-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/52-
dc.description.abstractThis paper examines the role of applying different artificial intelligence techniques for the implementation of load balancing in the dynamic environment of distributed multi-core computing systems. Were investigated several methods to optimize the assignment process between computing nodes and executing tasks after the occurrence of a dynamic and interactive event, when traditional discrete load balancing techniques are ineffective.en_US
dc.language.isoenen_US
dc.publisherAzerbaijan Journal of High Performance Computingen_US
dc.subjectExascale Computingen_US
dc.subjectAIen_US
dc.subjectLoad Balanceren_US
dc.subjectGraph Matchingen_US
dc.subjectHybrid techniquesen_US
dc.titleCHALLENGES OF USING DIFFERENT MATHEMATICAL MODELS FOR LOAD BALANCING OPTIMIZATION IN MULTI-CORE COMPUTING SYSTEMSen_US
dc.typeArticleen_US
dc.source.journaltitleAzerbaijan Journal of High Performance Computingen_US
dc.source.volume3en_US
dc.source.issue2en_US
dc.source.beginpage190en_US
dc.source.endpage195en_US
dc.source.numberofpages6en_US
Appears in Collections:Azerbaijan Journal of High Performance Computing

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