Authors:
Benjamin Camus
1
;
Fanny Dufossé
1
and
Anne-Cécile Orgerie
2
Affiliations:
1
Inria, France
;
2
CNRS, France
Keyword(s):
Data Centers, Distributed Clouds, Energy Efficiency, Renewable Energy, Scheduling, On/off Techniques.
Related
Ontology
Subjects/Areas/Topics:
Energy and Economy
;
Energy-Aware Systems and Technologies
;
Green Data Centers
;
Renewable Energy Resources
;
Scheduling and Switching Power Supplies
;
Sustainable Computing and Communications
Abstract:
The energy drawn by Cloud data centers is reaching worrying levels, thus inciting providers to install on-site green energy producers, such as photovoltaic panels. Considering distributed Clouds, workload managers need to geographically allocate virtual machines according to the green production in order not to waste energy. In this paper, we propose SAGITTA: a Stochastic Approach for Green consumption In disTributed daTA centers. We show that compared to the optimal solution, SAGITTA consumes 4% more brown energy, and wastes only 3.14% of the available green energy, while a traditional round-robin solution consumes 14.4% more energy overall than optimum, and wastes 28.83% of the available green energy.