FEDGEN Testbed: A Federated Genomics Private Cloud Infrastructure for Precision Medicine and Artificial Intelligence Research
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Description
The cloud computing space is enjoying a renaissance. Not long ago, cloud
computing was confined to the wall of high-revenue companies, but in recent
times a growing number of businesses, public and private institutions are
turning to the cloud computing platform to reap the benefits of a self-service,
scalable, and flexible infrastructure. Moreover, with the increased
implementation, advantages, and popularity of artificial intelligence, the
demand for computing environments to solve age-old problems such as
malaria and cancer is on the rise. This paper presents the implementation of a
cloud computing infrastructure, the FEDerated GENomics (FEDGEN)
Testbed, to provide an adequate IT environment for cancer and malaria
researchers. The cloud computing environment is built using Openstack
middleware. OpenStack is deployed using Metal-As-A-Service (MAAS) and
Juju. Virtual Machines (Instances) were deployed, and services (JupiterHub)
were installed on the FEDGEN testbed. The built infrastructure would allow
the running of models requiring high computing power and would allow for
collaboration among teams.
Keywords
TK Electrical engineering. Electronics Nuclear engineering