An Automated Approach to Cloud Storage Service Selection
The authors present a new, automated approach to selecting the cloud storage service that best matches each dataset of a given application. The approach relies on a machine readable description of the capabilities (features, performance, cost, etc.) of each storage system, which is processed together with the user's specified requirements. The result is an assignment of datasets to storage systems that has multiple advantages: the resulting match meets performance requirements and estimates cost; users express their storage needs using high-level concepts rather than reading the documentation from different cloud providers and manually calculating or estimating a solution.