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Sustainability 2017, 9(4), 673; doi:10.3390/su9040673

EH-GC: An Efficient and Secure Architecture of Energy Harvesting Green Cloud Infrastructure

Department of Computer Science and Engineering, Seoul National University of Science and Technology, (SeoulTech) Seoul 01811, Korea
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Academic Editor: James J. Park
Received: 7 April 2017 / Revised: 19 April 2017 / Accepted: 21 April 2017 / Published: 24 April 2017
(This article belongs to the Collection Advanced IT based Future Sustainable Computing)
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Abstract

Nowadays, the high power consumption of data centers is the biggest challenge to making cloud computing greener. Many researchers are still seeking effective solutions to reduce or harvest the energy produced at data centers. To address this challenge, we propose a green cloud infrastructure which provides security and efficiency based on energy harvesting (EH-GC). The EH-GC is basically focused on harvesting the heat energy produced by data centers in the Infrastructure-as-a-Service (IaaS) infrastructure. A pyroelectric material is used to generate the electric current from heat using the Olsen cycle. In order to achieve efficient green cloud computing, the architecture utilizes a genetic algorithm for proper virtual machine allocation, taking into consideration less Service Level Agreement (SLA) violations. The architecture utilizes Multivariate Correlation Analysis (MCA) correlation analysis based on a triangular map area generation to detect Denial of Service (DoS) attacks in the data center layer of the IaaS. Finally, the experimental analysis is explained based on the energy parameter, which proves that our model is efficient and secure, and that it efficiently reuses the energy emitted from the data center. View Full-Text
Keywords: energy harvesting; green cloud computing; olsen cycle; pyroelectric energy harvesting; green cloud computing; olsen cycle; pyroelectric
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Singh, S.; Sharma, P.K.; Moon, S.Y.; Park, J.H. EH-GC: An Efficient and Secure Architecture of Energy Harvesting Green Cloud Infrastructure. Sustainability 2017, 9, 673.

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