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

Author

Listed:
  • Saurabh Singh

    (Department of Computer Science and Engineering, Seoul National University of Science and Technology, (SeoulTech) Seoul 01811, Korea)

  • Pradip Kumar Sharma

    (Department of Computer Science and Engineering, Seoul National University of Science and Technology, (SeoulTech) Seoul 01811, Korea)

  • Seo Yeon Moon

    (Department of Computer Science and Engineering, Seoul National University of Science and Technology, (SeoulTech) Seoul 01811, Korea)

  • Jong Hyuk Park

    (Department of Computer Science and Engineering, Seoul National University of Science and Technology, (SeoulTech) Seoul 01811, Korea)

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.

Suggested Citation

  • Saurabh Singh & Pradip Kumar Sharma & Seo Yeon Moon & Jong Hyuk Park, 2017. "EH-GC: An Efficient and Secure Architecture of Energy Harvesting Green Cloud Infrastructure," Sustainability, MDPI, vol. 9(4), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:4:p:673-:d:96624
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    References listed on IDEAS

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    1. Saurabh Singh & Pradip Kumar Sharma & Jong Hyuk Park, 2017. "SH-SecNet: An Enhanced Secure Network Architecture for the Diagnosis of Security Threats in a Smart Home," Sustainability, MDPI, vol. 9(4), pages 1-19, March.
    2. Thombare, D.G. & Verma, S.K., 2008. "Technological development in the Stirling cycle engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(1), pages 1-38, January.
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    Cited by:

    1. Samah Alshathri & Bogdan Ghita & Nathan Clarke, 2018. "Sharing with Live Migration Energy Optimization Scheduler for Cloud Computing Data Centers," Future Internet, MDPI, vol. 10(9), pages 1-10, September.
    2. Saurabh Singh & In-Ho Ra & Weizhi Meng & Maninder Kaur & Gi Hwan Cho, 2019. "SH-BlockCC: A secure and efficient Internet of things smart home architecture based on cloud computing and blockchain technology," International Journal of Distributed Sensor Networks, , vol. 15(4), pages 15501477198, April.
    3. Mohammed Joda Usman & Abdul Samad Ismail & Gaddafi Abdul-Salaam & Hassan Chizari & Omprakash Kaiwartya & Abdulsalam Yau Gital & Muhammed Abdullahi & Ahmed Aliyu & Salihu Idi Dishing, 2019. "Energy-efficient Nature-Inspired techniques in Cloud computing datacenters," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(2), pages 275-302, June.

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