CHALLENGES OF USING DIFFERENT MATHEMATICAL MODELS FOR LOAD BALANCING OPTIMIZATION IN MULTI-CORE COMPUTING SYSTEMS

Please use this identifier to cite or link to this item: http://dspace.azjhpc.org/xmlui/handle/123456789/52

Title:	CHALLENGES OF USING DIFFERENT MATHEMATICAL MODELS FOR LOAD BALANCING OPTIMIZATION IN MULTI-CORE COMPUTING SYSTEMS
Authors:	Ismayilova, Nigar T.
Keywords:	Exascale Computing;AI;Load Balancer;Graph Matching;Hybrid techniques
Issue Date:	Dec-2020
Publisher:	Azerbaijan Journal of High Performance Computing
Abstract:	This 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.
URI:	http://localhost:8080/xmlui/handle/123456789/52
ISSN:	2616-6127 2617-4383
DOI:	https://doi.org/10.32010/26166127.2020.3.2.190.195
Journal Title:	Azerbaijan Journal of High Performance Computing
Volume:	3
Issue:	2
First page number:	190
Last page number:	195
Number of pages:	6
Appears in Collections:	Azerbaijan Journal of High Performance Computing

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