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Erschienen in:
2012 | OriginalPaper | Buchkapitel
A Declarative Recommender System for Cloud Infrastructure Services Selection
verfasst von : Miranda Zhang, Rajiv Ranjan, Surya Nepal, Michael Menzel, Armin Haller
Erschienen in: Economics of Grids, Clouds, Systems, and Services
Verlag: Springer Berlin Heidelberg
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The cloud infrastructure services landscape advances steadily leaving users in the agony of choice. Therefore, we present CloudRecommender, a new declarative approach for selecting Cloud-based infrastructure services. CloudRecommender automates the mapping of users’ specified application requirements to cloud service configurations. We formally capture cloud service configurations in ontology and provide its implementation in a structured data model which can be manipulated through both regular expressions and SQL. By exploiting the power of a visual programming language (widgets), CloudRecommender further enables simplified and intuitive cloud service selection. We describe the design and a prototype implementation of CloudRecommender, and demonstrate its effectiveness and scalability through a service configuration selection experiment on most of today’s prominent cloud providers including Amazon, Azure, and GoGrid.