Abstract
Cloud computing is moving from being a testing ground for isolated projects to being a strategic approach of the entire business organization. So the choice among the possible cloud offers, with a strong focus on the choice of services that enable better processes and projects of the business lines, is gaining importance. Nevertheless the heterogeneity of the Cloud services, resources, technology and service levels offered by the several providers make difficult to decide. Besides the inconveniences caused by the “lock-in”, give rise to the need for developers to be able to develop an application regardless of where it is released, structuring and building it in a vendor agnostic way so that it is possible to deploy on the provider that best fits them at the moment. The mOSAIC project aims at designing and developing an innovative open-source API and platform that enables applications to be Cloud providers’ neutral and to negotiate Cloud services as requested by their users, allowing automatic discovery, matchmaking, and thus supporting selection, brokering, interoperability end even composition of Cloud Services among multiple Clouds. In this paper, we illustrate the interoperation of the two components, the Semantic Engine and the Cloud Agency for the agnostic retrieval, discovery and brokering of cloud services. The focus will be put on the way to support the Cloud Application Developer to express the requirements and services/resources in vendor agnostic way and to translate automatically these requirements into a neutral format in order to compare it with the different offers of providers and to broker the best one according to defined policies.
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Acknowledgments
The research leading to these results has received funding from the European Community’s Seventh Framework Programme (FP7/2007–2013) under grant agreement n 256910 (mOSAIC Project).
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Amato, A., Cretella, G., Di Martino, B., Tasquier, L., Venticinque, S. (2015). Semantic Engine and Cloud Agency for Vendor Agnostic Retrieval, Discovery, and Brokering of Cloud Services. In: Al-Saidi, A., Fleischer, R., Maamar, Z., Rana, O. (eds) Intelligent Cloud Computing. ICC 2014. Lecture Notes in Computer Science(), vol 8993. Springer, Cham. https://doi.org/10.1007/978-3-319-19848-4_2
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