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Improving virtual machine consolidation for heterogeneous cloud computing datacenters

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Autor(es):
Magri Rodrigues, Joao Antonio ; de Oliveira, Fabiola Martins C. ; Lobato, Renata Spolon ; Spolon, Roberta ; Manacero, Aleardo ; Borin, Edson ; IEEE
Número total de Autores: 7
Tipo de documento: Artigo Científico
Fonte: 2019 31ST INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING (SBAC-PAD 2019); v. N/A, p. 4-pg., 2019-01-01.
Resumo

Datacenters in cloud computing systems may consist of thousands of computing nodes and communication devices, requiring virtual machine placement to optimize resources utilization. Heterogeneous environments of current datacenters have not been properly evaluated yet when the number of processing nodes and network devices is considered. This paper presents an approach to place virtual machines to minimize both the number of employed computing nodes and communication costs in heterogeneous environments. We evaluate our results against other known algorithms to show the efficiency of the proposed approach, which outperforms a state-of-the-art algorithm with a result of up to 13% better for network improvement while achieves the same number of computing nodes. (AU)

Processo FAPESP: 12/15127-3 - Desenvolvimento de novas funcionalidades para o simulador de grades computacionais iSPD: caracterização de tarefas e otimização do motor de simulação
Beneficiário:Aleardo Manacero Junior
Modalidade de apoio: Auxílio à Pesquisa - Regular