I am an HPC Storage R&D staff at Oak Ridge National Laboratory. My areas of focus are system software development for Lustre distributed parallel filesystem, novel data durability schemes, and I/O performance evaluation for HPC storage. I also conduct research on emerging Edge computing ecosystems emphasizing on their distributed system architecture and Edge storage aspects.
News
2022-09 Happy to be invited as a Technical Program Committee member for EAI Edge-IoT 2022
2022-09 Happy to serve in the Program Committee for SuperCheck-SC22
2022-09 Lightning talk accepted in Women in HPC workshop at SC 2022 WHPC
2022-05 Published OLCF’s Alpine disk failure dataset in osti.gov DOI
2022-05 Presented talk on Lustre Internals in LUG 2022 LUG 2022
2022-05 Co-authored the talk on Lustre policy engine in LUG 2022 LUG 2022
2022-05 Co-authored the talk on Lustre ‘lfs find’ in LUG 2022 LUG 2022
2022-05 Presented tutorial on Lustre MGC and Obdclass subsystems in LUG 2022 [LUG 2022]
2022-05 Accepted poster on Lustre Policy Engine in ORNL Software and Data Expo 2022 OSDX 2022
2022-04 Three talks accepted in Lustre User Group Conference 2022 LUG 2022
2022-04 Lustre User Group Conference 2022 presence LUG 2022
2021-09 Published Lustre Documentaion Tech Report Second Edition Understanding Lustre Internals Second Edition
2021-08 OLCF’S Advanced Technology Section hosts seminar series ATS SEMINAR SERIES
Recent Publications
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- IEEE’21 George, A. Ravindran, M. Mendieta and H. Tabkhi, “Mez: An Adaptive Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge,” in IEEE Access, vol. 9, pp. 21457-21473, 2021.
- EAI’20 George A., Ravindran A. (2021) Scalable Approximate Computing Techniques for Latency and Bandwidth Constrained IoT Edge. SmartCity360° 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 372. Springer, Cham.
- EDGE’19 George A., Ravindran A. (2019) Latency Control for Distributed Machine Vision at the Edge Through Approximate Computing. EDGE 2019. Lecture Notes in Computer Science, vol 11520. Springer, Cham.