Architectural models for deploying and running virtual laboratories in the cloud

Enis Afgan, Andrew J. Lonie, James Taylor, Karolj Skala, Nuwan Goonasekera · 2016

Running virtual laboratories as software services in cloud computing environments requires numerous technical challenges to be addressed. Domain scientists using those virtual laboratories desire powerful, effective and simple-to-use systems. To meet those requirements, these systems are deployed as sophisticated services that require a high level of autonomy and resilience. In this paper we describe a number of deployment models based on technical solutions and experiences that enabled our users to deploy and use thousands of virtual laboratory instances.

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