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

J.I. Torrens; D. Mehta; V. Zavrel; D. Grimes; Th. Scherer; R. Birke; L. Chen; S. Rea; L. Lopez; E. Pages; D. Pesch

doi:10.5220/0005928003750386

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

J.I. Torrens, D. Mehta, V. Zavrel, D. Grimes, Th. Scherer, R. Birke, L. Chen, S. Rea, L. Lopez, E. Pages, D. Pesch

Building Performance

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

1 Citation (Scopus)

4 Downloads (Pure)

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 and 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	Integrated Energy Efficient Data Centre Management for Green Cloud Computing
Subtitle of host publication	The FP7 GENiC Project Experience
Pages	375-386
Number of pages	12
DOIs	https://doi.org/10.5220/0005928003750386
Publication status	Published - 2016
Event	1st Workshop on Tools for Energy Efficient Cloud Computing, April 23-25, 2016, Rome, Italy - Rome, Italy Duration: 23 Apr 2016 → 25 Apr 2016

Workshop

Workshop	1st Workshop on Tools for Energy Efficient Cloud Computing, April 23-25, 2016, Rome, Italy
Country/Territory	Italy
City	Rome
Period	23/04/16 → 25/04/16
Other	Held in conjunction with the 6th International Conference on Cloud Computing and Services Science (CLOSER 2016) and the 5th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2016)

Keywords

Energy Efficient Data Centres
Workload Management
Thermal Management
Integrated Energy Management Platform

UN SDGs

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

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 Integrated Energy Efficient Data Centre Management for Green Cloud Computing: The FP7 GENiC Project Experience (pp. 375-386) https://doi.org/10.5220/0005928003750386

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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 and 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, Workload Management, Thermal Management, Integrated Energy Management Platform",

author = "J.I. Torrens and D. Mehta and V. Zavrel and D. Grimes and Th. Scherer and R. Birke and L. Chen and S. Rea and L. Lopez and E. Pages and D. Pesch",

year = "2016",

doi = "10.5220/0005928003750386",

language = "English",

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pages = "375--386",

booktitle = "Integrated Energy Efficient Data Centre Management for Green Cloud Computing",

note = "1st Workshop on Tools for Energy Efficient Cloud Computing, April 23-25, 2016, Rome, Italy ; Conference date: 23-04-2016 Through 25-04-2016",

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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 Integrated Energy Efficient Data Centre Management for Green Cloud Computing: The FP7 GENiC Project Experience. pp. 375-386, 1st Workshop on Tools for Energy Efficient Cloud Computing, April 23-25, 2016, Rome, Italy, 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.I.; Mehta, D.; Zavrel, V. et al.

Integrated Energy Efficient Data Centre Management for Green Cloud Computing: The FP7 GENiC Project Experience. 2016. p. 375-386.

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

TY - GEN

T1 - Integrated energy efficient data centre management for green cloud computing

T2 - 1st Workshop on Tools for Energy Efficient Cloud Computing, April 23-25, 2016, Rome, Italy

AU - Torrens, J.I.

AU - Mehta, D.

AU - Zavrel, V.

AU - Grimes, D.

AU - Scherer, Th.

AU - Birke, R.

AU - Chen, L.

AU - Rea, S.

AU - Lopez, L.

AU - Pages, E.

AU - Pesch, D.

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 and 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 and 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 - Workload Management

KW - Thermal Management

KW - Integrated Energy Management Platform

U2 - 10.5220/0005928003750386

DO - 10.5220/0005928003750386

M3 - Conference contribution

SN - 978-989-758-182-3

SP - 375

EP - 386

BT - Integrated Energy Efficient Data Centre Management for Green Cloud Computing

Y2 - 23 April 2016 through 25 April 2016

ER -

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

Abstract

Workshop

Keywords

UN SDGs

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