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Cloud Services Composition Through Cloud Patterns

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Adaptive Resource Management and Scheduling for Cloud Computing (ARMS-CC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9438))

Abstract

The composition of cloud services to satisfy customer requirements is still a complex and tricky task, requiring care and skill owing to the huge number of Cloud services which are currently available on the market. Recently the concept of Cloud Pattern emerged as a way to describe the composition and orchestration of Cloud Services in order to satisfy particular application requirements. Cloud Patterns can be considered as a particular Pattern category, focusing on the description of problems and solutions related to Cloud Computing. In this paper a methodology for the discovery and composition of Cloud services, guided by Cloud Patterns, is presented.

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Acknowledgment

This research has been supported by the European Community’s Seventh Framework Programme (FP7/2007–2013) under grant agreement no. 256910 (mOSAIC Project), by PRIST 2009, “Fruizione assistita e context aware di siti archeologici complessi mediante dispositivi mobili” and CoSSMic (Collaborating Smart Solar-powered Micro-grids - FP7-SMARTCITIES-2013).

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Authors and Affiliations

  1. Department of Industrial and Information Engineering, Second University of Naples, Aversa, Italy

    Beniamino Di Martino, Giuseppina Cretella & Antonio Esposito

Authors
  1. Beniamino Di Martino
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  2. Giuseppina Cretella
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  3. Antonio Esposito
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Corresponding author

Correspondence to Beniamino Di Martino .

Editor information

Editors and Affiliations

  1. University Politehnica of Bucharest, Bucharest, Romania

    Florin Pop

  2. Université Pierre et Marie CURIE, Paris, France

    Maria Potop-Butucaru

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Di Martino, B., Cretella, G., Esposito, A. (2015). Cloud Services Composition Through Cloud Patterns. In: Pop, F., Potop-Butucaru, M. (eds) Adaptive Resource Management and Scheduling for Cloud Computing. ARMS-CC 2015. Lecture Notes in Computer Science(), vol 9438. Springer, Cham. https://doi.org/10.1007/978-3-319-28448-4_10

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  • DOI: https://doi.org/10.1007/978-3-319-28448-4_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28447-7

  • Online ISBN: 978-3-319-28448-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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