DATAZERO: Datacenter With Zero Emission and Robust Management Using Renewable Energy
As the need for cloud services has been growing steadily, the size and energy consumption of datacenters have increased significantly over the past years. Due to economic and environmental constraints, energy efficiency in datacenters and greenhouse emissions have become a major concern. Renewable e...
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doaj-5baaa632560d45a5a15cf15f5f3660ca2021-04-05T17:15:14ZengIEEEIEEE Access2169-35362019-01-01710320910323010.1109/ACCESS.2019.29303688768369DATAZERO: Datacenter With Zero Emission and Robust Management Using Renewable EnergyJean-Marc Pierson0Gwilherm Baudic1Stephane Caux2Berk Celik3Georges Da Costa4Leo Grange5Marwa Haddad6Jerome Lecuivre7Jean-Marc Nicod8Laurent Philippe9https://orcid.org/0000-0003-3825-4594Veronika Rehn-Sonigo10Robin Roche11Gustavo Rostirolla12Amal Sayah13Patricia Stolf14Minh-Thuyen Thi15Christophe Varnier16University of Toulouse, Toulouse 3 University, Toulouse, FranceUniversity of Toulouse, Toulouse 3 University, Toulouse, FranceLAPLACE, CNRS, INPT, UPS, University of Toulouse, Toulouse, FranceUniversité Bourgogne Franche-Comté, UTBM, UFR ST, Besançon, FranceUniversity of Toulouse, Toulouse 3 University, Toulouse, FranceUniversity of Toulouse, Toulouse 3 University, Toulouse, FranceUniversité Bourgogne Franche-Comté, UTBM, UFR ST, Besançon, FranceEATON SAS, Montbonnot-Saint-Martin, FranceUniversité Bourgogne Franche-Comté, UTBM, UFR ST, Besançon, FranceUniversité Bourgogne Franche-Comté, UTBM, UFR ST, Besançon, FranceUniversité Bourgogne Franche-Comté, UTBM, UFR ST, Besançon, FranceUniversité Bourgogne Franche-Comté, UTBM, UFR ST, Besançon, FranceUniversity of Toulouse, Toulouse 3 University, Toulouse, FranceUniversity of Toulouse, Toulouse 3 University, Toulouse, FranceUniversity of Toulouse, Toulouse 3 University, Toulouse, FranceUniversity of Toulouse, Toulouse 3 University, Toulouse, FranceUniversité Bourgogne Franche-Comté, UTBM, UFR ST, Besançon, FranceAs the need for cloud services has been growing steadily, the size and energy consumption of datacenters have increased significantly over the past years. Due to economic and environmental constraints, energy efficiency in datacenters and greenhouse emissions have become a major concern. Renewable energy is widely seen as a promising solution to supply datacenters using local energy, without greenhouse gas emissions. However, the intermittent power generation resulting from the use of renewable energy imposes a paradigm change in the way energy and computation activities are managed. On the one hand, service placement and scheduling may be used on the IT (information technologies) side to adapt to the available power. On the other hand, the storage units may be used to lessen power generation variations. Existing literature and actual deployment mainly design optimization algorithms including the entire system (from cloud service to electrical management, the latter often being neglected or simplified). Conversely to these approaches, we propose a solution where each side optimizes its own objectives, both interacting through a negotiation loop process to reach a common agreement. In this paper, we present DATAZERO, a project developing this idea to ensure high availability of IT services, avoiding unnecessary redundancies, under the constraints due to the intermittent nature of electrical and cloud services flows.https://ieeexplore.ieee.org/document/8768369/Cloud datacentersrenewable energiesoptimizationmiddlewarenegotiationpower models |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jean-Marc Pierson Gwilherm Baudic Stephane Caux Berk Celik Georges Da Costa Leo Grange Marwa Haddad Jerome Lecuivre Jean-Marc Nicod Laurent Philippe Veronika Rehn-Sonigo Robin Roche Gustavo Rostirolla Amal Sayah Patricia Stolf Minh-Thuyen Thi Christophe Varnier |
spellingShingle |
Jean-Marc Pierson Gwilherm Baudic Stephane Caux Berk Celik Georges Da Costa Leo Grange Marwa Haddad Jerome Lecuivre Jean-Marc Nicod Laurent Philippe Veronika Rehn-Sonigo Robin Roche Gustavo Rostirolla Amal Sayah Patricia Stolf Minh-Thuyen Thi Christophe Varnier DATAZERO: Datacenter With Zero Emission and Robust Management Using Renewable Energy IEEE Access Cloud datacenters renewable energies optimization middleware negotiation power models |
author_facet |
Jean-Marc Pierson Gwilherm Baudic Stephane Caux Berk Celik Georges Da Costa Leo Grange Marwa Haddad Jerome Lecuivre Jean-Marc Nicod Laurent Philippe Veronika Rehn-Sonigo Robin Roche Gustavo Rostirolla Amal Sayah Patricia Stolf Minh-Thuyen Thi Christophe Varnier |
author_sort |
Jean-Marc Pierson |
title |
DATAZERO: Datacenter With Zero Emission and Robust Management Using Renewable Energy |
title_short |
DATAZERO: Datacenter With Zero Emission and Robust Management Using Renewable Energy |
title_full |
DATAZERO: Datacenter With Zero Emission and Robust Management Using Renewable Energy |
title_fullStr |
DATAZERO: Datacenter With Zero Emission and Robust Management Using Renewable Energy |
title_full_unstemmed |
DATAZERO: Datacenter With Zero Emission and Robust Management Using Renewable Energy |
title_sort |
datazero: datacenter with zero emission and robust management using renewable energy |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
As the need for cloud services has been growing steadily, the size and energy consumption of datacenters have increased significantly over the past years. Due to economic and environmental constraints, energy efficiency in datacenters and greenhouse emissions have become a major concern. Renewable energy is widely seen as a promising solution to supply datacenters using local energy, without greenhouse gas emissions. However, the intermittent power generation resulting from the use of renewable energy imposes a paradigm change in the way energy and computation activities are managed. On the one hand, service placement and scheduling may be used on the IT (information technologies) side to adapt to the available power. On the other hand, the storage units may be used to lessen power generation variations. Existing literature and actual deployment mainly design optimization algorithms including the entire system (from cloud service to electrical management, the latter often being neglected or simplified). Conversely to these approaches, we propose a solution where each side optimizes its own objectives, both interacting through a negotiation loop process to reach a common agreement. In this paper, we present DATAZERO, a project developing this idea to ensure high availability of IT services, avoiding unnecessary redundancies, under the constraints due to the intermittent nature of electrical and cloud services flows. |
topic |
Cloud datacenters renewable energies optimization middleware negotiation power models |
url |
https://ieeexplore.ieee.org/document/8768369/ |
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