Skip to Main content Skip to Navigation
Journal articles

On Achieving Energy Efficiency and Reducing CO2 Footprint in Cloud Computing

Usman Wajid 1 Cinzia Cappiello 2 Pierluigi Plebani 3 Barbara Pernici 2 Nikolay Mehandjiev 1 Monica Vitali 2 Michael Gienger 4 Konstantinos Kavoussanakis 5 David Margery 6, 7 David García-Pérez 8 Pedro Sampaio 1
1 University of Manchester [Manchester]
2 DEI - Dipartimento di Elettronica e Informazione
3 Dipartimento di Elettronica e Informazione
4 HLRS - High Performance Computing Center Stuttgart [Stuttgart]
5 EPCC [Edinburgh]
6 MYRIADS - Design and Implementation of Autonomous Distributed Systems
Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
7 SED [Rennes] - Service Expérimentation et Développement
8 ATOS [Barcelona]
Abstract : With the increasing popularity of the cloud computing model and rapid proliferation of cloud infrastructures there are increasing concerns about energy consumption and consequent impact of cloud computing as a contributor to global CO2 emissions. To date, little is known about how to incorporate energy consumption and CO2 concerns into cloud application development and deployment decision models. In this respect, this paper describes an eco-aware approach that relies on the definition, monitoring and utilization of energy and CO2 metrics combined with the use of innovative application scheduling and runtime adaptation techniques to optimize energy consumption and CO2 footprint of cloud applications as well as the underlying infrastructure. The eco-aware approach involves measuring or quantifying the energy consumption and CO2 at different levels of cloud computing, using that information to create scheduling and adaptation techniques that contribute towards reducing the energy consumption and CO2 emissions, and finally testing and validating the developed solutions in a multi-site cloud environment with the help of challenging case study applications. The experimental and validation results show the potential of the eco-aware approach to significantly reduce the CO2 footprint and consequent environmental impact of cloud applications.
Keywords : Monitoring Measurement Green products Cloud computing Computational modeling Energy consumption Energy efficiency
Document type :
Journal articles
Complete list of metadatas
https://hal.inria.fr/hal-01195696
Contributor : David Margery <>
Submitted on : Tuesday, September 8, 2015 - 12:05:17 PM
Last modification on : Friday, March 6, 2020 - 1:23:48 AM

Identifiers

Collections

INRIA | CNRS | UNIV-RENNES1 | IRISA | UR1-UFR-ISTIC | CENTRALESUPELEC | UNIV-RENNES | INSA-GROUPE | IRISA-D1 | INSTITUT-TELECOM

Citation

Usman Wajid, Cinzia Cappiello, Pierluigi Plebani, Barbara Pernici, Nikolay Mehandjiev, et al.. On Achieving Energy Efficiency and Reducing CO2 Footprint in Cloud Computing. IEEE transactions on cloud computing, IEEE, 2015, PP (99), pp.14. ⟨10.1109/TCC.2015.2453988⟩. ⟨hal-01195696⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

529

 

Contact                    Legal Notice                    Personal Data