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Testing and Comparing the Performance of Cloud Service Providers Using a Service Broker Architecture

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Advances in Service-Oriented and Cloud Computing (ESOCC 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 824))

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Abstract

Service brokers are tools that allow different individual service providers to be integrated. An API can be a mechanism to provide a joint interface. Broker can actually also be use for more than integration. We use a cloud service broker that implements a multi-cloud abstraction API in order to carry out performance comparisons between different cloud services. The broker tool here is a multi-cloud storage API that integrates a number of provided storage services. The library supporting the API is organised into three services, which are a file, a blob and a table service. Using this broker architecture, we developed a performance test scenario to compare the different providers, i.e., to compare a range of storage operations by different providers.

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Notes

  1. 1.

    https://www.google.com/drive/; https://www.dropbox.com/; https://aws.amazon.com/s3/; https://azure.microsoft.com/en-us/services/storage/;

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Acknowledgements

This work was partly supported by IC4 (Irish Centre for Cloud Computing and Commerce), funded by EI and the IDA.

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Authors and Affiliations

  1. IC4, Dublin City University, Dublin, Ireland

    Divyaa Manimaran Elango & Frank Fowley

  2. SwSE, Free University of Bozen-Bolzano, Bolzano, Italy

    Claus Pahl

Authors
  1. Divyaa Manimaran Elango
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  2. Frank Fowley
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  3. Claus Pahl
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Corresponding author

Correspondence to Claus Pahl .

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Editors and Affiliations

  1. University of Duisburg-Essen, Essen, Germany

    Zoltán Ádám Mann

  2. Western Norway University of Applied Sciences, Bergen, Norway

    Volker Stolz

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Elango, D.M., Fowley, F., Pahl, C. (2018). Testing and Comparing the Performance of Cloud Service Providers Using a Service Broker Architecture. In: Mann, Z., Stolz, V. (eds) Advances in Service-Oriented and Cloud Computing. ESOCC 2017. Communications in Computer and Information Science, vol 824. Springer, Cham. https://doi.org/10.1007/978-3-319-79090-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-79090-9_8

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  • Online ISBN: 978-3-319-79090-9

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