A Platform-as-a-Service API Aggregator

  • David CunhaEmail author
  • Pedro Neves
  • Pedro Sousa
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 206)


Cloud Computing has emerged as a new paradigm for services delivering over the Internet. In this growing market, PaaS (Platform-as-a-Service) service model has been the subject of great interest from several organizations allowing a straightforward deployment of applications without the need for a dedicated infrastructure, dependencies installation or server configuration. However, each PaaS provider generates a lock-in to their proprietary features, technologies or APIs (Application Programming Interfaces). This paper focuses on the specification, development and test of an abstraction layer that aims to unify the management and information processes of applications and databases created in PaaS environments, in order to struggle the existing lock-in in the market. As result, PaaS users will have now the opportunity for selecting the most appropriate platform for an application, interacting seamlessly with any supported vendor, also having the opportunity to attain the portability of applications among distinct PaaS providers. As far as we know, this is the first work in this research area presenting a real implemented and tested system aggregating several PaaS offerings.


Platform-as-a-Service (PaaS) Interoperability API 


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  1. 1.
    Zhang, S., et al.: Cloud Computing Research and Development Trend. In: 2nd International Conference on Future Networks, pp. 93–97. IEEE Computer Society, Washington (2010)Google Scholar
  2. 2.
    Armbrust, M., et al.: A View Of Cloud Computing. Commun. 53, 50–58 (2010)Google Scholar
  3. 3.
    Buyya, R., et al.: Cloud Computing and Emerging IT Platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Gener. Comput. Syst. 25, 599–616 (2009)CrossRefGoogle Scholar
  4. 4.
    Buyya, R., et al.: Cloud Computing Principles and Paradigms, pp. 58–62. Wiley Publishing (2011)Google Scholar
  5. 5.
    Loutas, N., et al.: Cloud Computing Interoperability: the state of play. In: 3rd IEEE International Conference on Cloud Computing Technology and Science, pp. 752–757. IEEE Computer Society, Washington (2011)Google Scholar
  6. 6.
    Petcu, D.: Portability and Interoperability between Clouds: Challenges and Case Study. In: Abramowicz, W., Llorente, I.M., Surridge, M., Zisman, A., Vayssière, J. (eds.) ServiceWave 2011. LNCS, vol. 6994, pp. 62–74. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  7. 7.
    Beimborn, D., Miletzki, T., Wenzel, S.: Platform-as-a-Service. Business & Information Systems Engineering 3, 381–384 (2011)CrossRefGoogle Scholar
  8. 8.
    Fielding, R.T.: Architectural Styles and the Design of Network-based Software Architectures. PhD thesis, University of California (2000)Google Scholar
  9. 9.
    Shao, J., Wang, Q.: A Performance Guarantee Approach for Cloud Computing based on Monitoring. In: 35th IEEE Annual Computer Software and Applications Conference Workshops, pp. 25–30. IEEE Computer Society, Washington (2011)CrossRefGoogle Scholar
  10. 10.
    Cheng, X., Yuliang, S., Qingzhong, L.: A Multi-Tenant Oriented Performance Monitoring, Detecting and Scheduling Architecture based on SLA. In: Joint Conferences on Pervasive Computing, pp. 599–604. IEEE Internet Computing, Taipei (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Portugal Telecom InovaçãoAveiroPortugal
  2. 2.Centro ALGORITMI / Department of InformaticsUniversity of MinhoBragaPortugal

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