Cloud Computing. 6th International Conference, CloudComp 2015, Daejeon, South Korea, October 28-29, 2015, Proceedings

Research Article

A Study of Resource Management for Fault-Tolerant and Energy Efficient Cloud Datacenter

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  • @INPROCEEDINGS{10.1007/978-3-319-38904-2_3,
        author={Dong-Ki Kang and Fawaz Alhazemi and Seong-Hwan Kim and Chan-Hyun Youn},
        title={A Study of Resource Management for Fault-Tolerant and Energy Efficient Cloud Datacenter},
        proceedings={Cloud Computing. 6th International Conference, CloudComp 2015, Daejeon, South Korea, October 28-29, 2015, Proceedings},
        proceedings_a={CLOUDCOMP},
        year={2016},
        month={5},
        keywords={Fault-tolerant Cloud computing Energy efficient Resource management Load balancing},
        doi={10.1007/978-3-319-38904-2_3}
    }
    
  • Dong-Ki Kang
    Fawaz Alhazemi
    Seong-Hwan Kim
    Chan-Hyun Youn
    Year: 2016
    A Study of Resource Management for Fault-Tolerant and Energy Efficient Cloud Datacenter
    CLOUDCOMP
    Springer
    DOI: 10.1007/978-3-319-38904-2_3
Dong-Ki Kang1,*, Fawaz Alhazemi1,*, Seong-Hwan Kim1,*, Chan-Hyun Youn1,*
  • 1: KAIST
*Contact email: dkkang@kaist.ac.kr, fawaz@kaist.ac.kr, s.h_kim@kaist.ac.kr, chyoun@kaist.ac.kr

Abstract

In cloud computing datacenters, the reliability and energy consumption have been studied as main challenges to achieve the reputation of cloud service users and the cost efficiency. To overcome the system fault of the datacenter, VM request load has to be distributed on multiple hosts to minimize the effect to the running cloud applications. Moreover, Dynamic Right Sizing (DRS) which adjusts the number of active hosts and sleep hosts in order to reduce the energy consumption in view of the resource usage cost. To do this, we propose the resource management scheme based on the portfolio diversification which has been studied in economics. The proposed scheme is able to reduce the fault of application significantly by finding the near Pareto optimal solution through Simulated Annealing approach We show the efficiency of our proposed scheme through the simple analytical results.