Analysis of the influence of application deployment on energy consumption

Marco Gribaudo; Thi Thao Nguyen Ho; Barbara Pernici; Giuseppe Serazzi

doi:10.1007/978-3-319-15786-3_6

Analysis of the influence of application deployment on energy consumption

Marco Gribaudo, Thi Thao Nguyen Ho, Barbara Pernici^*, Giuseppe Serazzi

^*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

3 Citationer (Scopus)

Abstract

Energy efficiency for data centers has been recently an active research field. Several efforts have been made at the infrastructure and application levels to achieve energy efficiency and reduction of CO2 emissions. In this paper we approach the problem of application deployment to evaluate its impact on the energy consumption of applications at runtime. We use queuing networks to model different deployment configurations and to perform quantitative analysis to predict application performance and energy consumption. The results are validated against experimental data to confirm the correctness of the models when used for predictions. Comparisons between different configurations in terms of performance and energy consumption are made to suggest the optimal configuration to deploy applications on cloud environments.

Originalsprog	Engelsk
Titel	Energy Efficient Data Centers - 3rd International Workshop, E2DC 2014, Revised Selected Papers
Redaktører	Milagros Rey Porto, Sonja Klingert, Marta Chinnici
Antal sider	15
Forlag	Physica-Verlag
Publikationsdato	2015
Sider	87-101
ISBN (Elektronisk)	9783319157856
DOI	https://doi.org/10.1007/978-3-319-15786-3_6
Status	Udgivet - 2015
Udgivet eksternt	Ja
Begivenhed	3rd International Workshop on Energy Efficient Data Centers, E2DC 2014 - Cambridge, Storbritannien Varighed: 10 jun. 2014 → 10 jun. 2014

Konference

Konference	3rd International Workshop on Energy Efficient Data Centers, E2DC 2014
Land/Område	Storbritannien
By	Cambridge
Periode	10/06/2014 → 10/06/2014
Sponsor	ENEA , Gas Natural Fenosa, University of Mannheim

Navn	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind	8945
ISSN	0302-9743

Bibliografisk note

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

Adgang til dokumentet

10.1007/978-3-319-15786-3_6

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Citationsformater

Gribaudo, Marco ; Ho, Thi Thao Nguyen ; Pernici, Barbara et al. / Analysis of the influence of application deployment on energy consumption. Energy Efficient Data Centers - 3rd International Workshop, E2DC 2014, Revised Selected Papers. red. / Milagros Rey Porto ; Sonja Klingert ; Marta Chinnici. Physica-Verlag, 2015. s. 87-101 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 8945).

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title = "Analysis of the influence of application deployment on energy consumption",

abstract = "Energy efficiency for data centers has been recently an active research field. Several efforts have been made at the infrastructure and application levels to achieve energy efficiency and reduction of CO2 emissions. In this paper we approach the problem of application deployment to evaluate its impact on the energy consumption of applications at runtime. We use queuing networks to model different deployment configurations and to perform quantitative analysis to predict application performance and energy consumption. The results are validated against experimental data to confirm the correctness of the models when used for predictions. Comparisons between different configurations in terms of performance and energy consumption are made to suggest the optimal configuration to deploy applications on cloud environments.",

keywords = "Application deployment, Cloud computing, Energy efficiency, Green ICT, Performance evaluation",

author = "Marco Gribaudo and Ho, {Thi Thao Nguyen} and Barbara Pernici and Giuseppe Serazzi",

note = "Funding Information: This work has been partly funded by the European Commission{\textquoteright}s 7th Framework Program (contract numbers 318048) within the ECOClouds project ( http://eco2clouds.eu/ ). This work expresses the opinions of the authors and not necessarily those of the European Commission. The European Commission is not liable for any use that may be made of the information contained in this work. We thank University of Stuttgart (USTUTT-HLRS) for the support in our work. 2 Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 3rd International Workshop on Energy Efficient Data Centers, E2DC 2014 ; Conference date: 10-06-2014 Through 10-06-2014",

year = "2015",

doi = "10.1007/978-3-319-15786-3_6",

language = "English",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Gribaudo, M, Ho, TTN, Pernici, B & Serazzi, G 2015, Analysis of the influence of application deployment on energy consumption. i MR Porto, S Klingert & M Chinnici (red), Energy Efficient Data Centers - 3rd International Workshop, E2DC 2014, Revised Selected Papers. Physica-Verlag, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), bind 8945, s. 87-101, 3rd International Workshop on Energy Efficient Data Centers, E2DC 2014, Cambridge, Storbritannien, 10/06/2014. https://doi.org/10.1007/978-3-319-15786-3_6

Analysis of the influence of application deployment on energy consumption. / Gribaudo, Marco; Ho, Thi Thao Nguyen; Pernici, Barbara et al.
Energy Efficient Data Centers - 3rd International Workshop, E2DC 2014, Revised Selected Papers. red. / Milagros Rey Porto; Sonja Klingert; Marta Chinnici. Physica-Verlag, 2015. s. 87-101 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 8945).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Analysis of the influence of application deployment on energy consumption

AU - Gribaudo, Marco

AU - Ho, Thi Thao Nguyen

AU - Pernici, Barbara

AU - Serazzi, Giuseppe

N1 - Funding Information: This work has been partly funded by the European Commission’s 7th Framework Program (contract numbers 318048) within the ECOClouds project ( http://eco2clouds.eu/ ). This work expresses the opinions of the authors and not necessarily those of the European Commission. The European Commission is not liable for any use that may be made of the information contained in this work. We thank University of Stuttgart (USTUTT-HLRS) for the support in our work. 2 Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - Energy efficiency for data centers has been recently an active research field. Several efforts have been made at the infrastructure and application levels to achieve energy efficiency and reduction of CO2 emissions. In this paper we approach the problem of application deployment to evaluate its impact on the energy consumption of applications at runtime. We use queuing networks to model different deployment configurations and to perform quantitative analysis to predict application performance and energy consumption. The results are validated against experimental data to confirm the correctness of the models when used for predictions. Comparisons between different configurations in terms of performance and energy consumption are made to suggest the optimal configuration to deploy applications on cloud environments.

AB - Energy efficiency for data centers has been recently an active research field. Several efforts have been made at the infrastructure and application levels to achieve energy efficiency and reduction of CO2 emissions. In this paper we approach the problem of application deployment to evaluate its impact on the energy consumption of applications at runtime. We use queuing networks to model different deployment configurations and to perform quantitative analysis to predict application performance and energy consumption. The results are validated against experimental data to confirm the correctness of the models when used for predictions. Comparisons between different configurations in terms of performance and energy consumption are made to suggest the optimal configuration to deploy applications on cloud environments.

KW - Application deployment

KW - Cloud computing

KW - Energy efficiency

KW - Green ICT

KW - Performance evaluation

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Energy Efficient Data Centers - 3rd International Workshop, E2DC 2014, Revised Selected Papers

A2 - Porto, Milagros Rey

A2 - Klingert, Sonja

A2 - Chinnici, Marta

PB - Physica-Verlag

T2 - 3rd International Workshop on Energy Efficient Data Centers, E2DC 2014

Y2 - 10 June 2014 through 10 June 2014

ER -

Gribaudo M, Ho TTN, Pernici B, Serazzi G. Analysis of the influence of application deployment on energy consumption. I Porto MR, Klingert S, Chinnici M, red., Energy Efficient Data Centers - 3rd International Workshop, E2DC 2014, Revised Selected Papers. Physica-Verlag. 2015. s. 87-101. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 8945). doi: 10.1007/978-3-319-15786-3_6

Analysis of the influence of application deployment on energy consumption

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