Enabling Green Energy awareness in Interactive Cloud Application

Md Sabbir Hasan 1, 2 Frederico Alvares de Oliveira 2 Thomas Ledoux 2 Jean-Louis Pazat 1
1 MYRIADS - Design and Implementation of Autonomous Distributed Systems
IRISA-D1 - SYSTÈMES LARGE ÉCHELLE, Inria Rennes – Bretagne Atlantique
2 ASCOLA - Aspect and composition languages
Inria Rennes – Bretagne Atlantique , Département informatique - EMN, LINA - Laboratoire d'Informatique de Nantes Atlantique
Abstract : With the proliferation of Cloud computing, data centers have to urgently face energy consumption issues. Although recent efforts such as the integration of renewable energy to data centers or energy efficient techniques in (virtual) machines contribute to the reduction of carbon footprint, creating green energy awareness around Interactive Cloud Applications by smartly using the presence of green energy has not been yet addressed. By awareness, we mean the inherited capability of Software-as-a-Service applications to dynamically adapt with the availability of green energy and to reduce energy consumption while green energy is scarce or absent. In this paper, we present two application controllers based on different metrics (e.g., availability of green energy, response time, user experience level). Based on extensive experiments with a real application benchmark and workloads in Grid'5000, results suggest that providers revenue can be increased as high as 64%, while 13% brown energy can be reduced without deprovisioning any physical or virtual resources at IaaS layer and 17 fold increment of performance can be guaranteed.
Type de document :
Communication dans un congrès
IEEE International Conference on Cloud Computing Technology and Science 2016, Dec 2016, Luxembourg, Luxembourg
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Soumis le : mardi 13 septembre 2016 - 11:36:17
Dernière modification le : mardi 4 décembre 2018 - 09:04:02
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  • HAL Id : hal-01365230, version 1


Md Sabbir Hasan, Frederico Alvares de Oliveira, Thomas Ledoux, Jean-Louis Pazat. Enabling Green Energy awareness in Interactive Cloud Application. IEEE International Conference on Cloud Computing Technology and Science 2016, Dec 2016, Luxembourg, Luxembourg. 〈hal-01365230〉



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