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Rapid Development of Service-based Cloud Applications: The Case of the Cloud Application Platforms

Rapid Development of Service-based Cloud Applications: The Case of the Cloud Application Platforms

Fotis Gonidis, Iraklis Paraskakis, Anthony J. H. Simons
Copyright: © 2015 |Volume: 5 |Issue: 4 |Pages: 25
ISSN: 1947-3052|EISSN: 1947-3060|EISBN13: 9781466678545|DOI: 10.4018/IJSSOE.2015100101
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MLA

Gonidis, Fotis, et al. "Rapid Development of Service-based Cloud Applications: The Case of the Cloud Application Platforms." IJSSOE vol.5, no.4 2015: pp.1-25. http://doi.org/10.4018/IJSSOE.2015100101

APA

Gonidis, F., Paraskakis, I., & Simons, A. J. (2015). Rapid Development of Service-based Cloud Applications: The Case of the Cloud Application Platforms. International Journal of Systems and Service-Oriented Engineering (IJSSOE), 5(4), 1-25. http://doi.org/10.4018/IJSSOE.2015100101

Chicago

Gonidis, Fotis, Iraklis Paraskakis, and Anthony J. H. Simons. "Rapid Development of Service-based Cloud Applications: The Case of the Cloud Application Platforms," International Journal of Systems and Service-Oriented Engineering (IJSSOE) 5, no.4: 1-25. http://doi.org/10.4018/IJSSOE.2015100101

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Abstract

Cloud application platforms gain popularity and have the potential to alter the way service-based cloud applications are developed involving utilisation of platform basic services. A platform basic service provides certain functionality and is usually offered via a web API. However, the diversification of the services and the available providers increase the challenge for the application developers to integrate them and deal with the heterogeneous providers' web APIs. Therefore, a new approach of developing applications should be adopted in which developers leverage multiple platform basic services independently from the target application platforms. To this end, the authors present a development framework assisting the design of service-based cloud applications. The objective of the framework is to enable the consistent integration of the services, and to allow the seamless use of the concrete providers. The optimal service provider each time can vary depending on criteria such as pricing, quality of service and can be determined based upon Big Data analysis approaches.

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