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International Conference on Big Data, Cloud and Applications

BDCA 2018: Big Data, Cloud and Applications pp 43–54Cite as

QoS in the Cloud Computing: A Load Balancing Approach Using Simulated Annealing Algorithm

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 872))

Abstract

Recently, Cloud computing has known a fast growth in term of applications and the end users. In addition to the growth and evolution of the Cloud environment, many challenges that impact the performances of the Cloud applications emerged. One of these challenges is the Load Balancing between the virtual machines of a Datacenter, which is needed to balance the workload of each virtual machine while hoping to get a better Quality of services (QoS). Many approaches were proposed in hope of offering a good QoS. But due to the fact that the Cloud environment is exponentially evolving, these approaches became outdated. In this axis of research, we are proposing a new approach based on the Simulated Annealing and different parameters that affect the distribution of the tasks between the virtual machines. A simulation is also done to compare our approach with other existing algorithms using Cloudsim.

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Author information

Authors and Affiliations

  1. Faculty of Sciences Ben’Msiq, Hassan II University, Casablanca, Morocco

    Mohamed Hanine & El Habib Benlahmar

Authors
  1. Mohamed Hanine
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  2. El Habib Benlahmar
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Corresponding author

Correspondence to Mohamed Hanine .

Editor information

Editors and Affiliations

  1. Abdelmalek Essaâdi University, Tétouan, Morocco

    Youness Tabii

  2. Abdelmalek Essaâdi University, Tétouan, Morocco

    Mohamed Lazaar

  3. Abdelmalek Essaâdi University, Tétouan, Morocco

    Mohammed Al Achhab

  4. Université Ibn-Tofail, Tétouan, Morocco

    Nourddine Enneya

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Hanine, M., Benlahmar, E.H. (2018). QoS in the Cloud Computing: A Load Balancing Approach Using Simulated Annealing Algorithm. In: Tabii, Y., Lazaar, M., Al Achhab, M., Enneya, N. (eds) Big Data, Cloud and Applications. BDCA 2018. Communications in Computer and Information Science, vol 872. Springer, Cham. https://doi.org/10.1007/978-3-319-96292-4_4

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  • DOI: https://doi.org/10.1007/978-3-319-96292-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-96291-7

  • Online ISBN: 978-3-319-96292-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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