Authors: Zamira Sadullaevna Rajabova, Otabek Abduvohidovich Madrahimov, Dilshod Jamolovich Saidov, Malika Rasulovna Kadirova
Abstract: The evolution of biomedical data analytics has been closely tied to the scalability and reliability of server infrastructure. Logical Domains (LDOMs), a virtualization technology native to Oracle Solaris, offer hardware-level isolation and performance efficiency that align well with the computational demands of machine learning (ML) in biomedical applications. This research investigates the deployment, optimization, and execution of various ML models within LDOM-enhanced server environments specifically tailored for high-throughput biomedical workloads. It evaluates the architectural benefits, virtualization overhead, and performance stability when applying ML algorithms for genomics, diagnostics, and health informatics. The findings suggest that LDOM-based infrastructures not only support secure multitenancy for ML pipelines but also enable tunable resource allocation strategies for precision performance in real-time medical contexts.
