Ronal Kumar 🏝

Ronal Kumar

Network Engineer & Applied Researcher

NERSC, Lawrence Berkeley National Laboratory

Professional Summary

Ronal Kumar is a Senior Network Engineer at the National Energy Research Scientific Computing Center (NERSC) and Network & Edge Integration Co-Lead for the next flagship supercomputer, Doudna System. Ronal’s research interests center on first-of-kind next-generation dynamic networking architecture for enhancing the scientific computing needs of increasingly complex workflows.

Ronal’s career at NERSC thus far involves contributing to Perlmutter deployment; SCinet’s first-of-its-kind multi-terabit SDN fabric design and implementation; developing a cutting-edge, VXLAN-based BGP EVPN prototype for HPC networks; and Doudna’s Technology Integration, with a focus on pushing the boundaries of network agility and scalability for scientific workflows.

He has over 20 years of networking experience spanning the U.S, New Zealand, South Pacific Islands, where he contributed to work in tier-3 data centers, core e-applications infrastructure, data center redesign, MPLS and VPLS implementation, enhancing complex multi-platform infrastructures, and multi-pod SDN implementations. Ronal is working towards his PhD in Computer Science focusing on Intent-based networking aligned to scientific computing. He also holds expert-level certifications, including ITIL, NSA 4013, Cisco, Alcatel-Lucent, Arista, and Splunk.

Education

Pursuing PhD Computer Science

University of North Dakota

Post Graduate Computer Science & Information Systems

University of the South Pacific

BS Computer Science & Information Systems

University of the South Pacific

Interests

Intent-based Networking Dynamic Networking Architecture Scientific Computing Workflows
Software

VXLAN-based BGP EVPN Fabric for HPC

Software-Defined Data Center Network Architecture using VXLAN-based BGP EVPN for Dynamic Workflows in a Supercomputing Environment (VXLAN-based BGP EVPN Fabric for HPC) Copyright …

Recent Publications
(2024). Toward Automated End-to-End Workflow Deployment In Dynamic Large-Scale Data Center Network With Multi-Vendor Devices. In IEEE Smart World Congress.