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A methodology for validating cloud models using metamorphic testing

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Abstract

Cloud computing is a paradigm that provides access to a flexible, elastic and on-demand computing infrastructure, allowing users to dynamically request virtual resources. However, researchers typically cannot experiment with critical parts of cloud systems such as the underlying cloud architecture, resource-provisioning policies and the configuration of resource virtualisation. This problem can be partially addressed through using simulations of cloud systems. Unfortunately, the problem of testing cloud systems is still challenging due to the many parameters that such systems typically have and the difficulty in determining whether an observed behaviour is correct. In order to alleviate these issues, we propose a methodology to semi-automatically test and validate cloud models by integrating simulation techniques and metamorphic testing.

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Acknowledgements

This research was partially supported by the Spanish MEC projects TESIS (TIN2009-14312-C02-01) and ESTuDIo (TIN2012-36812-C02-01).

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Authors and Affiliations

  1. Computer Science Faculty, University Complutense de Madrid, Madrid, Spain

    Alberto Núñez

  2. School of Information Systems, Computing and Mathematics, Brunel University, Brunel, UK

    Robert M. Hierons

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  1. Alberto Núñez
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  2. Robert M. Hierons
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Correspondence to Alberto Núñez.

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Núñez, A., Hierons, R.M. A methodology for validating cloud models using metamorphic testing. Ann. Telecommun. 70, 127–135 (2015). https://doi.org/10.1007/s12243-014-0442-7

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  • DOI: https://doi.org/10.1007/s12243-014-0442-7

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