Document details

Improving virtual machine consolidation for heterogeneous cloud computing datacenters

Author(s): Rodrigues, Joao Antonio Magri [UNESP] ; De Oliveira, Fabiola Martins C. ; Lobato, Renata Spolon [UNESP] ; Spolon, Roberta [UNESP] ; Manacero, Aleardo [UNESP] ; Borin, Edson

Date: 2020

Persistent ID: http://hdl.handle.net/11449/199848

Origin: Oasisbr

Subject(s): Cloud computing; Heterogeneous systems; Virtual machine placement; Cloud computing; Cloud computing; Heterogeneous systems; Heterogeneous systems; Virtual machine placement; Virtual machine placement


Description

Made available in DSpace on 2020-12-12T01:50:56Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-10-01

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.

Dept. of Computer Science and Statistics São Paulo State University (UNESP) São José Do Rio Preto

Institute of Computing University of Campinas

Faculty of Science São Paulo State University (UNESP)

Dept. of Computer Science and Statistics São Paulo State University (UNESP) São José Do Rio Preto

Faculty of Science São Paulo State University (UNESP)

Document Type Other
Language English
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