Recommending Heterogeneous Resources for Science Gateway Applications based on Custom Templates Composition

Ronny Bazan Antequera, Prasad Calyam, Arjun Ankathatti Chandrashekara, Reshmi Mitra

University of Missouri-Columbia, USA 

Emerging interdisciplinary data-intensive science gateway applications in engineering fields (e.g., bioinformatics, cybermanufacturing) demand the use of high-performance computing resources. However, to mitigate operational costs and management efforts for these science gateway applications, there is a need to effectively deploy them on federated heterogeneous resources managed by external Cloud Service Providers (CSPs). In this paper, we present a novel methodology to deliver fast, automatic and flexible resource provisioning services for such application-owners with limited expertise in composing and deploying suitable cloud architectures. 

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