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Dynamic Resource Provisioning in Cloud Computing: A Heuristic Markovian Approach

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Cloud Computing (CloudComp 2013)

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Abstract

Cloud computing provides more reliable and flexible access to IT resources, which differentiates it from other distributed computer paradigms. Managing the applications efficiently in cloud computing motivates the challenge of provisioning and allocating resource on demand in response to dynamic workloads. Most of investigations have been focused on managing this demand in physical layer and very few in application layer. This paper focuses on resource allocation method in application level that allocates appropriate number of virtual machines to an application which demonstrates a dynamic behavior in terms of resource requirements. By the knowledge of authors this is the first fully estimation based investigation in this field. Experimental results demonstrate that the proposed technique offers more cost effective resource provisioning approach considering cloud user demands.

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Notes

  1. 1.

    Discrete-time Markov chain.

  2. 2.

    Million Instructions Per Second.

  3. 3.

    Million Instructions.

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Author information

Authors and Affiliations

  1. University of Mohaghegh Ardabil, Ardabil, Iran

    Hamid Reza Qavami & Shahram Jamali

  2. Amirkabir University of Technology, Tehran, Iran

    Mohammad K. Akbari

  3. University of Western Sydney, Richmond, Australia

    Bahman Javadi

Authors
  1. Hamid Reza Qavami
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  2. Shahram Jamali
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  3. Mohammad K. Akbari
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  4. Bahman Javadi
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Corresponding author

Correspondence to Hamid Reza Qavami .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, The University of British Columbia, Vancouver, British Columbia, Canada

    Victor C.M. Leung

  2. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

    Min Chen

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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Qavami, H.R., Jamali, S., Akbari, M.K., Javadi, B. (2014). Dynamic Resource Provisioning in Cloud Computing: A Heuristic Markovian Approach. In: Leung, V., Chen, M. (eds) Cloud Computing. CloudComp 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 133. Springer, Cham. https://doi.org/10.1007/978-3-319-05506-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-05506-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05505-3

  • Online ISBN: 978-3-319-05506-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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