A Private Cloud for Data Mining Education
Arne Koschel, Felix Heine, Irina Astrova, Igor Astrov · 2018
Cloud computing meanwhile is an established approach in all kinds of projects over the past few years. This opens new opportunities for research and development, but also for education. One of these opportunities presents itself in the form of dynamically deployable, virtual lab environments. This provides educational institutions an increased flexibility for the allocation of their computing resources. In the form of fully sandboxed labs, students can be provided with 'their own' internal network and full access to all machines within, granting them the flexibility necessary to gather hands-on experience with building heterogeneous (big) data technology based architectures. Our eduDScloud provides a private cloud infrastructure to which labs like the data mining technologies lab outlined in this paper can be flexibly deployed at a fingertip.