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Optimal scheduling across public and private clouds in complex hybrid cloud environment

Author

Listed:
  • Li Chunlin

    (Wuhan University of Technology
    Nanjing University of Posts and Telecommunications)

  • Li LaYuan

    (Wuhan University of Technology)

Abstract

The hybrid cloud extends the private cloud model by using both local and remote resources. The private cloud will rely on the resources leased from public cloud providers for the execution of private cloud applications. The paper presents optimal scheduling across public and private clouds in complex hybrid cloud environment. The contributions of this paper have three aspects. 1) The proposed hybrid cloud scheduling policy considers the benefits of private cloud applications and public cloud provider, it can adapt to the changes in the system to find the scheduling optimization. The scheduling optimization is decomposed and conducted across the private cloud and public cloud. 2) Secondly, The paper describes negotiations in hybrid cloud marketplace and gives an example to explain how these rules are resolved by the cloud marketplace. 3) Thirdly, the paper proposes an optimal scheduling algorithm across public and private clouds. The paper also describes negotiations in hybrid cloud marketplace and gives an example to explain how these rules are resolved by the cloud marketplace. In the simulations, the profit of public cloud provider and resource utilization of the proposed algorithm are better than other related works.

Suggested Citation

  • Li Chunlin & Li LaYuan, 2017. "Optimal scheduling across public and private clouds in complex hybrid cloud environment," Information Systems Frontiers, Springer, vol. 19(1), pages 1-12, February.
    • Handle: RePEc:spr:infosf:v:19:y:2017:i:1:d:10.1007_s10796-015-9581-2
    DOI: 10.1007/s10796-015-9581-2
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    References listed on IDEAS

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    1. Seokho Son & Kwang Mong Sim, 2015. "Adaptive and similarity-based tradeoff algorithms in a price-timeslot-QoS negotiation system to establish cloud SLAs," Information Systems Frontiers, Springer, vol. 17(3), pages 565-589, June.
    2. J. Octavio Gutierrez-Garcia & Kwang Mong Sim, 2012. "GA-based cloud resource estimation for agent-based execution of bag-of-tasks applications," Information Systems Frontiers, Springer, vol. 14(4), pages 925-951, September.
    3. Mohammad Mehedi Hassan & M. Shamim Hossain & A. M. Jehad Sarkar & Eui-Nam Huh, 2014. "Cooperative game-based distributed resource allocation in horizontal dynamic cloud federation platform," Information Systems Frontiers, Springer, vol. 16(4), pages 523-542, September.
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    Cited by:

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    2. repec:mth:ijmis8:v:4:y:2019:i:1:p:1-19 is not listed on IDEAS

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