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Elasticity in cloud computing: a survey

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Abstract

Cloud computing is now a well-consolidated paradigm for on-demand services provisioning on a pay-as-you-go model. Elasticity, one of the major benefits required for this computing model, is the ability to add and remove resources “on the fly” to handle the load variation. Although many works in literature have surveyed cloud computing and its features, there is a lack of a detailed analysis about elasticity for the cloud. As an attempt to fill this gap, we propose this survey on cloud computing elasticity based on an adaptation of a classic systematic review. We address different aspects of elasticity, such as definitions, metrics and tools for measuring, evaluation of the elasticity, and existing solutions. Finally, we present some open issues and future directions. To the best of our knowledge, this is the first study on cloud computing elasticity using a systematic review approach.

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Notes

  1. ScienceDirect - http://www.sciencedirect.com/

  2. ACM Digital Library - http://dl.acm.org/

  3. IEEE Xplore - http://ieeexplore.ieee.org/

  4. Future Generation Computer Systems - http://www.journals.elsevier.com/future-generation-computer-systems/ http://www.journals.elsevier.com/future-generation-computer-systems/

  5. Amazon CloudWatch - http://aws.amazon.com/cloudwatch/

  6. Auto Scaling - http://aws.amazon.com/autoscaling/

  7. Elastic Load Balancing - http://aws.amazon.com/elasticloadbalancing/

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Acknowledgments

This research is a partial result of the SLA4Cloud project (STIC-AmSud program) supported by CAPES (process: 23038.010147/2013-17). D.G. Gomes and J.N. de Souza would like to thank the support provided by the National Institute of Science and Technology–Medicine Assisted by Scientific Computing (INCT-MACC).

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Authors and Affiliations

  1. Virtual University Institute (UFC VIRTUAL), Federal University of Ceara (UFC), Fortaleza, Brazil

    Emanuel Ferreira Coutinho

  2. Teleinformatics Engineering Department (DETI), Federal University of Ceara (UFC), Fortaleza, Brazil

    Flávio Rubens de Carvalho Sousa

  3. Federal University of Ceara (UFC), Fortaleza, Brazil

    Paulo Antonio Leal Rego

  4. Teleinformatics Engineering Department (DETI) Group of Computer Networks, Software Engineering, and Systems (GREat), Federal University of Ceara (UFC), Fortaleza, Brazil

    Danielo Gonçalves Gomes

  5. Computer Science Department, Federal University of Ceara (UFC), Fortaleza, Brazil

    José Neuman de Souza

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  4. Danielo Gonçalves Gomes
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  5. José Neuman de Souza
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Correspondence to Emanuel Ferreira Coutinho.

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Coutinho, E.F., de Carvalho Sousa, F.R., Rego, P.A.L. et al. Elasticity in cloud computing: a survey. Ann. Telecommun. 70, 289–309 (2015). https://doi.org/10.1007/s12243-014-0450-7

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  • DOI: https://doi.org/10.1007/s12243-014-0450-7

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