Integrated energy efficient data centre management for green cloud computing the FP7 GENiC project experience

J. Ignacio Torrens; Deepak Mehta; Vojtech Zavrel; Diarmuid Grimes; Thomas Scherer; Robert Birke; Lydia Chen; Susan Rea; Lara Lopez; Enric Pages; Dirk Pesch

doi:10.5220/0005928003750386

Integrated energy efficient data centre management for green cloud computing the FP7 GENiC project experience

J. Ignacio Torrens
, Deepak Mehta
, Vojtech Zavrel
, Diarmuid Grimes
, Thomas Scherer
, Robert Birke
, Lydia Chen
, Susan Rea
, Lara Lopez
, Enric Pages
, Dirk Pesch

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Abstract

Energy consumed by computation and cooling represents the greatest percentage of the average energy consumed in a data centre. As these two aspects are not always coordinated, energy consumption is not optimised. Data centres lack an integrated system that jointly optimises and controls all the operations in order to reduce energy consumption and increase the usage of renewable sources. GENiC is addressing this through a novel scalable, integrate energy management and control platform for data centre wide optimisation. We have implemented a prototype of the platform together with workload and thermal management algorithms. We evaluate the algorithms in a simulation based model of a real data centre. Results show significant energy savings potential, in some cases up to 40%, by integrating workload and thermal management.

Original language	English
Title of host publication	CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science
Editors	Jorge Cardoso, Jorge Cardoso, Donald Ferguson, Victor Mendez Munoz, Markus Helfert
Publisher	SciTePress
Pages	375-386
Number of pages	12
ISBN (Electronic)	9789897581823
DOIs	https://doi.org/10.5220/0005928003750386
Publication status	Published - 2016
Externally published	Yes
Event	6th International Conference on Cloud Computing and Services Science, CLOSER 2016 - Rome, Italy Duration: 23 Apr 2016 → 25 Apr 2016

Publication series

Name	CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science
Volume	2

Conference

Conference	6th International Conference on Cloud Computing and Services Science, CLOSER 2016
Country/Territory	Italy
City	Rome
Period	23/04/16 → 25/04/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Energy efficient data centres
Integrated energy management platform
Thermal management
Workload management

Access to Document

10.5220/0005928003750386

Cite this

Torrens, J. I., Mehta, D., Zavrel, V., Grimes, D., Scherer, T., Birke, R., Chen, L., Rea, S., Lopez, L., Pages, E., & Pesch, D. (2016). Integrated energy efficient data centre management for green cloud computing the FP7 GENiC project experience. In J. Cardoso, J. Cardoso, D. Ferguson, V. M. Munoz, & M. Helfert (Eds.), CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science (pp. 375-386). (CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science; Vol. 2). SciTePress. https://doi.org/10.5220/0005928003750386

Torrens, J. Ignacio ; Mehta, Deepak ; Zavrel, Vojtech et al. / Integrated energy efficient data centre management for green cloud computing the FP7 GENiC project experience. CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science. editor / Jorge Cardoso ; Jorge Cardoso ; Donald Ferguson ; Victor Mendez Munoz ; Markus Helfert. SciTePress, 2016. pp. 375-386 (CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science).

@inproceedings{4102b6846c90414db72a2d7074bdc711,

title = "Integrated energy efficient data centre management for green cloud computing the FP7 GENiC project experience",

abstract = "Energy consumed by computation and cooling represents the greatest percentage of the average energy consumed in a data centre. As these two aspects are not always coordinated, energy consumption is not optimised. Data centres lack an integrated system that jointly optimises and controls all the operations in order to reduce energy consumption and increase the usage of renewable sources. GENiC is addressing this through a novel scalable, integrate energy management and control platform for data centre wide optimisation. We have implemented a prototype of the platform together with workload and thermal management algorithms. We evaluate the algorithms in a simulation based model of a real data centre. Results show significant energy savings potential, in some cases up to 40\%, by integrating workload and thermal management.",

keywords = "Energy efficient data centres, Integrated energy management platform, Thermal management, Workload management",

author = "Torrens, \{J. Ignacio\} and Deepak Mehta and Vojtech Zavrel and Diarmuid Grimes and Thomas Scherer and Robert Birke and Lydia Chen and Susan Rea and Lara Lopez and Enric Pages and Dirk Pesch",

note = "Publisher Copyright: Copyright {\textcopyright} 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 6th International Conference on Cloud Computing and Services Science, CLOSER 2016 ; Conference date: 23-04-2016 Through 25-04-2016",

year = "2016",

doi = "10.5220/0005928003750386",

language = "English",

series = "CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science",

publisher = "SciTePress",

pages = "375--386",

editor = "Jorge Cardoso and Jorge Cardoso and Donald Ferguson and Munoz, \{Victor Mendez\} and Markus Helfert",

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}

Torrens, JI, Mehta, D, Zavrel, V, Grimes, D, Scherer, T, Birke, R, Chen, L, Rea, S, Lopez, L, Pages, E & Pesch, D 2016, Integrated energy efficient data centre management for green cloud computing the FP7 GENiC project experience. in J Cardoso, J Cardoso, D Ferguson, VM Munoz & M Helfert (eds), CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science. CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science, vol. 2, SciTePress, pp. 375-386, 6th International Conference on Cloud Computing and Services Science, CLOSER 2016, Rome, Italy, 23/04/16. https://doi.org/10.5220/0005928003750386

Integrated energy efficient data centre management for green cloud computing the FP7 GENiC project experience. / Torrens, J. Ignacio; Mehta, Deepak; Zavrel, Vojtech et al.
CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science. ed. / Jorge Cardoso; Jorge Cardoso; Donald Ferguson; Victor Mendez Munoz; Markus Helfert. SciTePress, 2016. p. 375-386 (CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science; Vol. 2).

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

TY - GEN

T1 - Integrated energy efficient data centre management for green cloud computing the FP7 GENiC project experience

AU - Torrens, J. Ignacio

AU - Mehta, Deepak

AU - Zavrel, Vojtech

AU - Grimes, Diarmuid

AU - Scherer, Thomas

AU - Birke, Robert

AU - Chen, Lydia

AU - Rea, Susan

AU - Lopez, Lara

AU - Pages, Enric

AU - Pesch, Dirk

PY - 2016

Y1 - 2016

N2 - Energy consumed by computation and cooling represents the greatest percentage of the average energy consumed in a data centre. As these two aspects are not always coordinated, energy consumption is not optimised. Data centres lack an integrated system that jointly optimises and controls all the operations in order to reduce energy consumption and increase the usage of renewable sources. GENiC is addressing this through a novel scalable, integrate energy management and control platform for data centre wide optimisation. We have implemented a prototype of the platform together with workload and thermal management algorithms. We evaluate the algorithms in a simulation based model of a real data centre. Results show significant energy savings potential, in some cases up to 40%, by integrating workload and thermal management.

AB - Energy consumed by computation and cooling represents the greatest percentage of the average energy consumed in a data centre. As these two aspects are not always coordinated, energy consumption is not optimised. Data centres lack an integrated system that jointly optimises and controls all the operations in order to reduce energy consumption and increase the usage of renewable sources. GENiC is addressing this through a novel scalable, integrate energy management and control platform for data centre wide optimisation. We have implemented a prototype of the platform together with workload and thermal management algorithms. We evaluate the algorithms in a simulation based model of a real data centre. Results show significant energy savings potential, in some cases up to 40%, by integrating workload and thermal management.

KW - Energy efficient data centres

KW - Integrated energy management platform

KW - Thermal management

KW - Workload management

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A2 - Ferguson, Donald

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PB - SciTePress

T2 - 6th International Conference on Cloud Computing and Services Science, CLOSER 2016

Y2 - 23 April 2016 through 25 April 2016

ER -

Torrens JI, Mehta D, Zavrel V, Grimes D, Scherer T, Birke R et al. Integrated energy efficient data centre management for green cloud computing the FP7 GENiC project experience. In Cardoso J, Cardoso J, Ferguson D, Munoz VM, Helfert M, editors, CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science. SciTePress. 2016. p. 375-386. (CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science). doi: 10.5220/0005928003750386

Integrated energy efficient data centre management for green cloud computing the FP7 GENiC project experience

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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