A Meta-Heuristic Load Balancer for Cloud Computing Systems
Data(s) |
2015
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Resumo |
This paper introduces a strategy to allocate services on a cloud system without overloading the nodes and maintaining the system stability with minimum cost. We specify an abstract model of cloud resources utilization, including multiple types of resources as well as considerations for the service migration costs. A prototype meta-heuristic load balancer is demonstrated and experimental results are presented and discussed. We also propose a novel genetic algorithm, where population is seeded with the outputs of other meta-heuristic algorithms. |
Formato |
application/pdf |
Identificador |
http://westminsterresearch.wmin.ac.uk/16814/1/PID3699891.pdf Sliwko, L. and Getov, Vladimir (2015) A Meta-Heuristic Load Balancer for Cloud Computing Systems. In: 2015 IEEE 39th Annual Computer Software and Applications Conference (COMPSAC), 01 Jul 2015, Taichung, Taiwan. |
Idioma(s) |
en |
Publicador |
IEEE |
Relação |
http://westminsterresearch.wmin.ac.uk/16814/ https://dx.doi.org/10.1109/COMPSAC.2015.223 10.1109/COMPSAC.2015.223 |
Palavras-Chave | #Science and Technology |
Tipo |
Conference or Workshop Item NonPeerReviewed |