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)