Machine Learning Lab
Machine Learning Platform on Openstack
The Project proposed by IIAP aims to deploy a scalable machine learning (ML) platform based on Big data analytics and cloud middlewares, which will serve to different scientific communities in Armenia and beyond. ML requires processing huge amount of data and the main motivation of Cloud operating system (Openstack) and Supercomputer usage is that it can provide these computational resources when it is needed, without thinking to have them on a local computer or to deploy any related software packages. Actually, it is possible to decrease or increase these resources on demand whenever it is needed, and there is no need to worry about the data output because the result will be saved automatically to any Cloud storage provided. The continuous ML research in Cloud computing will make this platform more intelligent and effective over time.
The main expected result of the Project will be a Software-as-a-Service (SaaS) solution for running ML processes, the environment will enable the scientists to input the required processing data and define the computing resources then run it.
Potential users of the Project result can be any data scientist interested in complex scientific calculations and Big Data.
ML technologies involve the widespread use of interactivity and communications that's why in this laboratory, instead of a projector with a screen, an interactive display will be used, and the BYOD policy will be fully implemented.