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This contribution introduces a novel model, Laboratory as a Service (LaaS), for developing remote laboratories as independent component modules and implementing them as a set of loosely-coupled services to be consumed with a high level of abstraction and virtualization. LaaS aims to tackle the common concurrent challenges in remote laboratories developing and implementation such as inter-institutional sharing, interoperability with other heterogeneous systems, coupling with heterogeneous services and learning objects, difficulty of developing, and standardization.
David Atienza Alonso, Marina Zapater Sancho, Luis Maria Costero Valero, Darong Huang, Ali Pahlevan
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