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A pricing approach for optimal use of computing resources in cloud federation

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Abstract

Cloud federation is the place where the cloud service providers could supply their resource deficiency from other members and offer their extra resources to other members of the federation in case of necessity. From the viewpoint of maximum use of resources, resource pricing is one of the main challenges in cloud computing which affects the utilization of resources and is one of the methods of resource management. As far as pricing is effective on the service providers’ profit, the appropriate pricing method will create proper profit for the providers in the federation and lead to optimum use of resources. In addition, the welfare of service providers will also increase, and the Quality of Services (QoS) in the federation will be enhanced. In the present study, first, we provide a method based on linear programming for the distribution of requests between members of the federation; then inspired by the concepts of macroeconomic, we explain a model for the evaluation of cloud service providers and provide a meta-heuristic algorithm for service pricing. The proposed algorithm utilizes the results of the evaluation to offer prices to the service providers and provides the best price based on the results of the evaluation to the cloud service providers to maximize their profit. In addition, the proposed algorithm manages the number of shared resources of providers in proportionate to the requests and price. Finally, a set of tests will be performed on the introduced system.

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Funding

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Authors and Affiliations

  1. Department of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran

    Bijan Pourghorbani Dinachali & Sam Jabbehdari

  2. Department of Mathematics and Computer Science, Shahed University, Tehran, Iran

    Hamid Haj Seyyed Javadi

Authors
  1. Bijan Pourghorbani Dinachali
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  2. Sam Jabbehdari
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  3. Hamid Haj Seyyed Javadi
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Contributions

All authors contributed to the study’s conception and design. Material preparation, data collection, and analysis were performed by Bijan Pourghorbani Dinachali, Sam Jabbehdari, and Hamid Haj Seyyed Javadi. The first draft of the manuscript was written by Bijan Pourghorbani Dinachali, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Sam Jabbehdari.

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This material is the authors’ own original work, which has not been previously published elsewhere. The paper is not currently being considered for publication elsewhere. The paper reflects the authors’ own research and analysis in a truthful and complete manner. The paper properly credits the meaningful contributions of co-authors and co-researchers. The results are appropriately placed in the context of prior and existing research. All sources used are properly disclosed (correct citation). Literally copying of text must be indicated as such by using quotation marks and giving proper reference. All authors have been personally and actively involved in substantial work leading to the paper, and will take public responsibility for its content.

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Dinachali, B.P., Jabbehdari, S. & Javadi, H.H.S. A pricing approach for optimal use of computing resources in cloud federation. J Supercomput 79, 3055–3094 (2023). https://doi.org/10.1007/s11227-022-04725-8

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  • DOI: https://doi.org/10.1007/s11227-022-04725-8

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