Reducing the Operational Cost of Cloud Data Centers through Renewable Energy
1
Eco4Cloud srl, Rende (CS) 87036, Italy
2
ICAR-CNR, Rende (CS) 87036, Italy
3
Politecnico di Torino, Department of Electronics and Telecommunications, Torino 10129, Italy
*
Author to whom correspondence should be addressed.
Algorithms 2018, 11(10), 145; https://doi.org/10.3390/a11100145
Received: 31 July 2018 / Revised: 31 August 2018 / Accepted: 21 September 2018 / Published: 27 September 2018
(This article belongs to the Special Issue Algorithms for the Resource Management of Large Scale Infrastructures)
The success of cloud computing services has led to big computing infrastructures that are complex to manage and very costly to operate. In particular, power supply dominates the operational costs of big infrastructures, and several solutions have to be put in place to alleviate these operational costs and make the whole infrastructure more sustainable. In this paper, we investigate the case of a complex infrastructure composed of data centers (DCs) located in different geographical areas in which renewable energy generators are installed, co-located with the data centers, to reduce the amount of energy that must be purchased by the power grid. Since renewable energy generators are intermittent, the load management strategies of the infrastructure have to be adapted to the intermittent nature of the sources. In particular, we consider , a load management strategy already proposed in the literature for multi-objective load management strategies, and we adapt it to the presence of renewable energy sources. Hence, cost reduction is achieved in the load allocation process, when virtual machines (VMs) are assigned to a data center of the considered infrastructure, by considering both energy cost variations and the presence of renewable energy production. Performance is analyzed for a specific infrastructure composed of four data centers. Results show that, despite being intermittent and highly variable, renewable energy can be effectively exploited in geographical data centers when a smart load allocation strategy is implemented. In addition, the results confirm that is very flexible and is suited to the considered scenario.
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Keywords:
geographical data centers; energy saving; renewable energy
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MDPI and ACS Style
Laganà, D.; Mastroianni, C.; Meo, M.; Renga, D. Reducing the Operational Cost of Cloud Data Centers through Renewable Energy. Algorithms 2018, 11, 145. https://doi.org/10.3390/a11100145
AMA Style
Laganà D, Mastroianni C, Meo M, Renga D. Reducing the Operational Cost of Cloud Data Centers through Renewable Energy. Algorithms. 2018; 11(10):145. https://doi.org/10.3390/a11100145
Chicago/Turabian StyleLaganà, Demetrio; Mastroianni, Carlo; Meo, Michela; Renga, Daniela. 2018. "Reducing the Operational Cost of Cloud Data Centers through Renewable Energy" Algorithms 11, no. 10: 145. https://doi.org/10.3390/a11100145
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