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Authors: Awatif Ragmani ; Amina El Omri ; Noreddine Abghour ; Khalid Moussaid and Mohamed Rida

Affiliation: Faculty of Sciences and University Hassan II, Morocco

ISBN: 978-989-758-295-0

Keyword(s): Cloud Computing, Energy Efficiency, Scheduling, Load Balancing, Metaheuristics, Greencloud.

Abstract: The Cloud computing model is based on the use of virtual resources and their placement on physical servers hosted in the different data centers. Those data centers are known to be big energy consumers. The allocation of virtual machines within servers has a paramount role in optimizing energy consumption of the underlying infrastructure in order to satisfy the environmental and economic constraints. Since then, various hardware and software solutions have emerged. Among these strategies, we highlight the optimization of virtual machine scheduling in order to improve the quality of service and the energy efficiency. Through this paper, we propose firstly, to study energy consumption in the Cloud environment based on the GreenCloud simulator. Secondly, we define a scheduling solution aimed at reducing energy consumption via a better resource allocation strategy by privileging data center powered by clean energy. The main contributions of this paper are the use of the Taguchi co ncept to evaluate the Cloud model and the introduction of scheduling policy based on the simulated annealing algorithm. (More)

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Paper citation in several formats:
Ragmani, A.; El Omri, A.; Abghour, N.; Moussaid, K. and Rida, M. (2018). Energy Efficiency Policies for Smart Digital Cloud Environment based on Heuristics Algorithms.In Proceedings of the 8th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-295-0, pages 354-363. DOI: 10.5220/0006671403540363

@conference{closer18,
author={Awatif Ragmani. and Amina El Omri. and Noreddine Abghour. and Khalid Moussaid. and Mohamed Rida.},
title={Energy Efficiency Policies for Smart Digital Cloud Environment based on Heuristics Algorithms},
booktitle={Proceedings of the 8th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2018},
pages={354-363},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006671403540363},
isbn={978-989-758-295-0},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Energy Efficiency Policies for Smart Digital Cloud Environment based on Heuristics Algorithms
SN - 978-989-758-295-0
AU - Ragmani, A.
AU - El Omri, A.
AU - Abghour, N.
AU - Moussaid, K.
AU - Rida, M.
PY - 2018
SP - 354
EP - 363
DO - 10.5220/0006671403540363

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