Balancing performance, resource efficiency and energy efficiency for virtual machine deployment in DVFS-enabled clouds: An evolutionary game theoretic approach

Yi Ren; Athanasios V. Vasilakos; Junichi Suzuki; Shingo Omura; Chonho Lee; Katsuya Oba

doi:10.1145/2598394.2605693

Balancing performance, resource efficiency and energy efficiency for virtual machine deployment in DVFS-enabled clouds: An evolutionary game theoretic approach

Yi Ren
, Athanasios V. Vasilakos
, Junichi Suzuki
, Shingo Omura
, Chonho Lee
, Katsuya Oba

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference
Publisher	Association for Computing Machinery
Pages	1205-1212
Number of pages	8
ISBN (Print)	9781450328814
DOIs	https://doi.org/10.1145/2598394.2605693
State	Published - 2014
Event	16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion - Vancouver, BC, Canada Duration: Jul 12 2014 → Jul 16 2014

Publication series

Name	GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference

Conference

Conference	16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion
Country/Territory	Canada
City	Vancouver, BC
Period	7/12/14 → 7/16/14

ASJC Scopus Subject Areas

Computational Theory and Mathematics
Applied Mathematics

Keywords

Cloud computing
Evolutionary game theory
Multiobjective optimization
Power-aware virtual machine placement

Access to Document

10.1145/2598394.2605693

Cite this

Ren, Y., Vasilakos, A. V., Suzuki, J., Omura, S., Lee, C., & Oba, K. (2014). Balancing performance, resource efficiency and energy efficiency for virtual machine deployment in DVFS-enabled clouds: An evolutionary game theoretic approach. In GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference (pp. 1205-1212). (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference). Association for Computing Machinery. https://doi.org/10.1145/2598394.2605693

Balancing performance, resource efficiency and energy efficiency for virtual machine deployment in DVFS-enabled clouds: An evolutionary game theoretic approach. / Ren, Yi; Vasilakos, Athanasios V.; Suzuki, Junichi et al.
GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, 2014. p. 1205-1212 (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ren, Y, Vasilakos, AV, Suzuki, J, Omura, S, Lee, C & Oba, K 2014, Balancing performance, resource efficiency and energy efficiency for virtual machine deployment in DVFS-enabled clouds: An evolutionary game theoretic approach. in GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, pp. 1205-1212, 16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion, Vancouver, BC, Canada, 7/12/14. https://doi.org/10.1145/2598394.2605693

Ren Y, Vasilakos AV, Suzuki J, Omura S, Lee C, Oba K. Balancing performance, resource efficiency and energy efficiency for virtual machine deployment in DVFS-enabled clouds: An evolutionary game theoretic approach. In GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery. 2014. p. 1205-1212. (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference). doi: 10.1145/2598394.2605693

Ren, Yi ; Vasilakos, Athanasios V. ; Suzuki, Junichi et al. / Balancing performance, resource efficiency and energy efficiency for virtual machine deployment in DVFS-enabled clouds : An evolutionary game theoretic approach. GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, 2014. pp. 1205-1212 (GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference).

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title = "Balancing performance, resource efficiency and energy efficiency for virtual machine deployment in DVFS-enabled clouds: An evolutionary game theoretic approach",

keywords = "Cloud computing, Evolutionary game theory, Multiobjective optimization, Power-aware virtual machine placement",

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Balancing performance, resource efficiency and energy efficiency for virtual machine deployment in DVFS-enabled clouds: An evolutionary game theoretic approach

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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