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A Multi-model Optimization Framework for the Model Driven Design of Cloud Applications

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Search-Based Software Engineering (SSBSE 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8636))

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Abstract

The rise and adoption of the Cloud computing paradigm had a strong impact on the ICT world in the last few years; this technology has now reached maturity and Cloud providers offer a variety of solutions and services to their customers. However, beside the advantages, Cloud computing introduced new issues and challenges. In particular, the heterogeneity of the Cloud services offered and their relative pricing models makes the identification of a deployment solution that minimizes costs and guarantees QoS very complex. Performance assessment of Cloud based application needs for new models and tools to take into consideration the dynamism and multi-tenancy intrinsic of the Cloud environment. The aim of this work is to provide a novel mixed integer linear program (MILP) approach to find a minimum cost feasible cloud configuration for a given cloud based application. The feasibility of the solution is considered with respect to some non-functional requirements that are analyzed through multiple performance models with different levels of accuracy. The initial solution is further improved by a local search based procedure. The quality of the initial feasible solution is compared against first principle heuristics currently adopted by practitioners and Cloud providers.

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Author information

Authors and Affiliations

  1. Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy

    Danilo Ardagna, Giovanni Paolo Gibilisco, Michele Ciavotta & Alexander Lavrentev

Authors
  1. Danilo Ardagna
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  2. Giovanni Paolo Gibilisco
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  3. Michele Ciavotta
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  4. Alexander Lavrentev
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Editor information

Editors and Affiliations

  1. School of Computer Science, Institute for Software Research, Carnegie Mellon University, 5000 Forbes Avenue, 15213, Pittsburgh, PA, USA

    Claire Le Goues

  2. Department of Computer Scioence, University College London, Gower Street, WC1E 6BT, London, UK

    Shin Yoo

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© 2014 Springer International Publishing Switzerland

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Ardagna, D., Gibilisco, G.P., Ciavotta, M., Lavrentev, A. (2014). A Multi-model Optimization Framework for the Model Driven Design of Cloud Applications. In: Le Goues, C., Yoo, S. (eds) Search-Based Software Engineering. SSBSE 2014. Lecture Notes in Computer Science, vol 8636. Springer, Cham. https://doi.org/10.1007/978-3-319-09940-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-09940-8_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09939-2

  • Online ISBN: 978-3-319-09940-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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