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Genetic and Evolutionary Computing pp 49–57Cite as

Interaction Artificial Bee Colony Based Load Balance Method in Cloud Computing

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 329))

Abstract

Rapidly development of the cloud computing and Internet makes load balance technique become more and more significant to us than ever. A perfect scheduling algorithm is the key to solve the load balance problems which can not only balance the load, but also can meet the users’ needs. An optimal load balance algorithm is proposed in this paper. Algorithm proposed in this paper can enhance production of the systems and schedule the tasks to virtual machines (VMs) more efficiently. Finishing time of all tasks in the same system will be less than others’. The simulation tools is the CloudSim.

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Author information

Authors and Affiliations

  1. Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China

    Jeng-Shyang Pan, Hongnan Zhao & Linlin Tang

  2. ShenZhen State High-Tech Industrial Innovation Centre, Shenzhen, China

    Haibin Wang

Authors
  1. Jeng-Shyang Pan
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  2. Haibin Wang
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  3. Hongnan Zhao
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  4. Linlin Tang
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Corresponding author

Correspondence to Jeng-Shyang Pan .

Editor information

Editors and Affiliations

  1. HIGH-TECH Industry Development Zone, Nanchang Institute of Technology, Jiangxi Province, China

    Hui Sun

  2. Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Magong City, Taiwan

    Chin-Yu Yang

  3. Innovative Information Industry Research Center, Shenzhen University Harbin Institute of Technology, Shenzhen, China

    Chun-Wei Lin

  4. Harbin Institute of Technology Innovative Info. Industry Res. Center, Shenzhen University, Shenzhen, China

    Jeng-Shyang Pan

  5. Department of Computer Science Faculty of Elec. Eng. & Comp. Sci., VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  6. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Pan, JS., Wang, H., Zhao, H., Tang, L. (2015). Interaction Artificial Bee Colony Based Load Balance Method in Cloud Computing. In: Sun, H., Yang, CY., Lin, CW., Pan, JS., Snasel, V., Abraham, A. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 329. Springer, Cham. https://doi.org/10.1007/978-3-319-12286-1_6

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  • DOI: https://doi.org/10.1007/978-3-319-12286-1_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12285-4

  • Online ISBN: 978-3-319-12286-1

  • eBook Packages: EngineeringEngineering (R0)

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