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Cloud Computing Resource Scheduling Optimization Based on Chaotic Firefly Algorithm Based on the Tent Mapping

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Applications and Techniques in Information Security (ATIS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 950))

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Abstract

In order to improve the utilization of cloud computing resources and maintain the load balance, this paper proposes a cloud computing resource scheduling optimization chaotic firefly algorithm based on the Tent mapping to solve the problem that the firefly algorithm has premature convergence and is easily trapped in the local optimum. In the firefly algorithm, a chaotic algorithm based on the Tent mapping is introduced. By perturbing individuals, the convergence speed is accelerated and the local most optimal probability is reduced. The Bernoulli shift transformation is introduced to improve the cloud computing model. The simulation results based on CloudSim show that the algorithm can shorten the task completion time and improve the overall processing capability of the system.

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Acknowledgements

This research work was supported by the National Natural Science Foundation of China (Grant No. 61762031), Guangxi Key Research and Development Plan (No. 2017AB51024, 2018AB8126006), GuangXi key Laboratory Fund of Embedded Technology and Intelligent System.

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Authors and Affiliations

  1. College of Information Science and Engineering, Guilin University of Technology, Guilin, Guangxi Zhuang Autonomous Region, China

    Xiaolan Xie & Mengnan Qiu

  2. Guangxi Universities Key Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, Guilin, China

    Xiaolan Xie

Authors
  1. Xiaolan Xie
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  2. Mengnan Qiu
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Corresponding author

Correspondence to Mengnan Qiu .

Editor information

Editors and Affiliations

  1. Guangxi University, Nanning, China

    Qingfeng Chen

  2. Macquarie University, Sydney, NSW, Australia

    Jia Wu

  3. Guangxi Normal University, Nanning, China

    Shichao Zhang

  4. Guangxi College of Education, Nanning, China

    Changan Yuan

  5. Deakin University, Geelong, VIC, Australia

    Lynn Batten

  6. Deakin University, Geelong, VIC, Australia

    Gang Li

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Xie, X., Qiu, M. (2018). Cloud Computing Resource Scheduling Optimization Based on Chaotic Firefly Algorithm Based on the Tent Mapping. In: Chen, Q., Wu, J., Zhang, S., Yuan, C., Batten, L., Li, G. (eds) Applications and Techniques in Information Security. ATIS 2018. Communications in Computer and Information Science, vol 950. Springer, Singapore. https://doi.org/10.1007/978-981-13-2907-4_10

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  • DOI: https://doi.org/10.1007/978-981-13-2907-4_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2906-7

  • Online ISBN: 978-981-13-2907-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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