Konferenzpaper
Autorenliste: Gorski, P.L.; Lo Iacono, L.; Nguyen, H.V.; Torkian, D.B.
Erschienen in: Service-Oriented and Cloud Computing
Herausgeberliste: Villari, M.; Zimmermann, W.; Lau, K.-K.
Jahr der Veröffentlichung: 2014
Seiten: 81-92
ISBN: 978-3-662-44878-6
eISBN: 978-3-662-44879-3
DOI Link: https://doi.org/10.1007/978-3-662-44879-3_6
Konferenz: 3rd European Conference on Service-Oriented and Cloud computing (ESOCC 2014)
Serientitel: Lecture Notes in Computer Science
Serienzählung: 8745
SOA is a core concept for designing distributed applications based on the abstraction of software services. The main strength lies in the ability to discover services and loosely-couple them with service consumers across platform-boundaries. The evolved service protocol SOAP and its accompanying standards provide a stable, rich and wide-spread technology stack for implementing SOA-based systems.
Abstract:
As an alternative approach to design and implement distributed systems based on services, the architectural style REST gains traction, due to its more light-weight and data format independent nature. Whether REST is also suited for acting as a basis for implementing SOA-based systems is still an open issue, however. This paper focuses on this question and provides an analysis on the SOA-readiness of REST. Both, a theoretical analysis and an empirical study of REST frameworks have been conducted in order to obtain a comprehensive understanding on this matter. The results show a lack of core SOA principles mainly related to the discoverability and the loose coupling of services.
Zitierstile
Harvard-Zitierstil: Gorski, P., Lo Iacono, L., Nguyen, H. and Torkian, D. (2014) SOA-Readiness of REST, in Villari, M., Zimmermann, W. and Lau, K. (eds.) Service-Oriented and Cloud Computing. Heidelberg: Springer. pp. 81-92. https://doi.org/10.1007/978-3-662-44879-3_6
APA-Zitierstil: Gorski, P., Lo Iacono, L., Nguyen, H., & Torkian, D. (2014). SOA-Readiness of REST. In Villari, M., Zimmermann, W., & Lau, K. (Eds.), Service-Oriented and Cloud Computing. (pp. 81-92). Springer. https://doi.org/10.1007/978-3-662-44879-3_6
