Abstract
Infrastructure as a Service (IaaS) clouds provide a composable environment that is attractive for mid-range, high-throughput and data-intensive scientific workloads. However, the flexibility of IaaS clouds presents unique challenges for storage and data management in these environments. Users use manual and/or ad-hoc methods to manage storage selection, storage configuration and data management in these environments. We address these challenges via a novel storage and data life cycle management through FRIEDA (Flexible Robust Intelligent Elastic Data Management), an application specific storage and data management framework for composable infrastructure environments.
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