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A Comparative Evaluation of State-of-the-Art Cloud Migration Optimization Approaches

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Recent Advances on Soft Computing and Data Mining

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 287))

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Abstract

Cloud computing has become more attractive for consumers to migrate their applications to the cloud environment. However, because of huge cloud environments, application customers and providers face the problem of how to assess and make decisions to choose appropriate service providers for migrating their applications to the cloud. Many approaches have investigated how to address this problem. In this paper we classify these approaches into non-evolutionary cloud migration optimization approaches and evolutionary cloud migration optimization approaches. Criteria including cost, QoS, elasticity and degree of migration optimization have been used to compare the approaches. Analysis of the results of comparative evaluations shows that a Multi-Objectives optimization approach provides a better solution to support decision making to migrate an application to the cloud environment based on the significant proposed criteria. The classification of the investigated approaches will help practitioners and researchers to deliver and build solid approaches.

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Authors and Affiliations

  1. Department of Software Engineering, Faculty of Computing, Universiti Teknologi Malaysia, 81310, UTM, Skudai, Johor, Malaysia

    Abdelzahir Abdelmaboud, Dayang N. A. Jawawi, Imran Ghani & Abubakar Elsafi

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  1. Abdelzahir Abdelmaboud
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  2. Dayang N. A. Jawawi
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  3. Imran Ghani
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  4. Abubakar Elsafi
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Correspondence to Abdelzahir Abdelmaboud .

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Editors and Affiliations

  1. Department of Information System Faculty of Comp. Sci. & Info. Tech., University of Malaya, Kuala Lumpur, Malaysia

    Tutut Herawan

  2. Faculty of Comp. Sci. and Info. Tech, Universiti Tun Hussein Onn Malaysia, Parit Raja, Malaysia

    Rozaida Ghazali

  3. Faculty of Comp. Sci. and Info. Tech., Universiti Tun Hussein Onn Malaysia, Parit Raja, Malaysia

    Mustafa Mat Deris

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© 2014 Springer International Publishing Switzerland

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Abdelmaboud, A., Jawawi, D.N.A., Ghani, I., Elsafi, A. (2014). A Comparative Evaluation of State-of-the-Art Cloud Migration Optimization Approaches. In: Herawan, T., Ghazali, R., Deris, M. (eds) Recent Advances on Soft Computing and Data Mining. Advances in Intelligent Systems and Computing, vol 287. Springer, Cham. https://doi.org/10.1007/978-3-319-07692-8_60

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  • DOI: https://doi.org/10.1007/978-3-319-07692-8_60

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07691-1

  • Online ISBN: 978-3-319-07692-8

  • eBook Packages: EngineeringEngineering (R0)

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