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Interoperability Between SaaS and Data Layers: Enhancing the MIDAS Middleware

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Cloud Computing and Services Science (CLOSER 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1073))

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Abstract

Nowadays, the volume of digital data grows exponentially. As a result, many organizations store and provide their data in cloud computing services. While Software as a Service (SaaS) is a typical model for application delivery, Data as a Service (DaaS) and Database as a Service (DBaaS) are models to provide data and database management systems on demand, respectively. Heterogeneity of these services makes it difficult to automate communication among them. In these cases, SaaS applications require additional efforts to access those data. Besides that, the lack of standardization from DaaS and DBaaS generates a problem of communication among cloud layers. In this paper, we propose an enhancing version of MIDAS (Middleware for DaaS and SaaS) that provides interoperability between Services (SaaS) and Data layers (DaaS and DBaaS). Our current version of MIDAS is concerned with (i) presenting a Description Logic representation of the middleware and (ii) detailing the Web Crawler. Experiments were carried out to evaluate execution time, overhead, interoperability, and correctness. Results demonstrated our effectiveness on addressing interoperability concerns in cloud computing environments.

The authors would like to thank FAPESB (Foundation for Research Support of the State of Bahia) for financial support.

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Notes

  1. 1.

    That is, a man is a person who is not a woman.

  2. 2.

    That is, John is a man.

  3. 3.

    https://www.heroku.com/.

  4. 4.

    https://www.jawsdb.com/.

  5. 5.

    https://www.mlab.com/.

  6. 6.

    According to ranking https://db-engines.com/en/ranking.

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Authors and Affiliations

  1. FORMAS (Formalisms and Semantic Applications Research Group), LaSiD–DCC–IME, Computer Science Graduate Program (PGComp), Federal University of Bahia, Salvador, Bahia, Brazil

    Elivaldo Lozer Fracalossi Ribeiro, Marcelo Aires Vieira, Daniela Barreiro Claro & Nathale Silva

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  1. Elivaldo Lozer Fracalossi Ribeiro
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  2. Marcelo Aires Vieira
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  3. Daniela Barreiro Claro
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  4. Nathale Silva
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Corresponding author

Correspondence to Elivaldo Lozer Fracalossi Ribeiro .

Editor information

Editors and Affiliations

  1. Escola d’Enginyeria, Bellaterra, Barcelona, Spain

    Víctor Méndez Muñoz

  2. Columbia University, New York, USA

    Donald Ferguson

  3. Dublin City University, Dublin 9, Ireland

    Markus Helfert

  4. Free University of Bozen-Bolzano, Bolzano, Bolzano, Italy

    Claus Pahl

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Ribeiro, E.L.F., Aires Vieira, M., Barreiro Claro, D., Silva, N. (2019). Interoperability Between SaaS and Data Layers: Enhancing the MIDAS Middleware. In: Muñoz, V., Ferguson, D., Helfert, M., Pahl, C. (eds) Cloud Computing and Services Science. CLOSER 2018. Communications in Computer and Information Science, vol 1073. Springer, Cham. https://doi.org/10.1007/978-3-030-29193-8_6

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  • DOI: https://doi.org/10.1007/978-3-030-29193-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29192-1

  • Online ISBN: 978-3-030-29193-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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