A Platform-as-a-Service API Aggregator
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.
KeywordsPlatform-as-a-Service (PaaS) Interoperability API
Unable to display preview. Download preview PDF.
- 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.Armbrust, M., et al.: A View Of Cloud Computing. Commun. 53, 50–58 (2010)Google Scholar
- 4.Buyya, R., et al.: Cloud Computing Principles and Paradigms, pp. 58–62. Wiley Publishing (2011)Google Scholar
- 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
- 8.Fielding, R.T.: Architectural Styles and the Design of Network-based Software Architectures. PhD thesis, University of California (2000)Google Scholar
- 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