Biography

My research focuses on applying advanced AI/ML techniques to optimize the performance, scalability, and sustainability of distributed computing systems and big-data analytics pipelines. My significant contributions are in the areas of geo-distributed data analytics, performance and energy efficiency in large-scale distributed systems, wide-area distributed coordination, network and I/O optimization, and end-to-end dataflow management. I designed and developed the Stork distributed data scheduling system which is used by institutions worldwide; and the PetaShare distributed storage network that managed close to a Petabyte of storage located across nine university campuses in Louisiana. I am currently working on data scheduling and optimization as a cloud-hosted service (OneDataShare); and energy-efficient data transfers for green Internet (GreenDataFlow). Major application areas of my research include genomics, health sciences, emergency response, high-energy physics, and environmental sciences.

Selected Awards:

UB Exceptional Scholar: Sustained Achievement Award, 2020
UB CSE Outstanding Service Award, 2019
IEEE Region-I Technological Innovation Award, 2019
UB SEAS Senior Researcher of the Year, 2018
UB SEAS Senior Teacher of the Year, 2018
IBM Research Award, 2017
UB CSE Senior Faculty Research Award, 2017
UB CSE Senior Faculty Teaching Award, 2016
Best Paper Award, ICECCO 2013
Best Paper Award, IEEE/ACM SC'12 NDM Workshop, 2012
Google Research Award, 2011
NSF CAREER Award, 2009
Bussiness Report's Top 40 Under 40, 2009
LSU Rainmaker Award, 2009
LSU Flagship Faculty, 2009
1012 Corridor Young Scientist, 2009
LSU College of Basic Sciences Research Award, 2009
LSU CCT Faculty of the Year Award, 2008

Selected Publications:

B. Turkkan, T. Dai, A. Raman, T. Kosar, C. Chen, M. Bulut, J. Zola, and D. Sow. GreenABR+: Generalized Energy-Aware Adaptive Bitrate Streaming. In ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2024.
Z. Nine, T. Kosar, M. Bulut, and J. Hwang. GreenNFV: Energy-Efficient Network Function Virtualization with Service Level Agreement Constraints. In Proceedings of IEEE/ACM Supercomputing Conference (SC’23), Denver, CO, November 2023.
B.O. Turkkan, T. Dai, A. Raman, T. Kosar, C. Chen, M.F. Bulut, J. Zola, and D. Sow. GreenABR: Energy-aware Adaptive Bitrate Streaming with Deep Reinforcement Learning. In Proceedings of the 13th ACM Multimedia Systems Conference (MMSys), 2022.
B. Zhang and T. Kosar. SMURF: Efficient and Scalable Metadata Access for Distributed Applications. In IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol.33 No.12 (2022), pp.3915-3928.
Z. Nine and T. Kosar. A Two-Phase Dynamic Throughput Optimization Model for Big Data Transfers. In IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol.32 No.2 (2020), pp.269-280.
A. Ailijiang, A. Charapko, M. Demirbas, and T. Kosar. WPaxos: Wide Area Network Flexible Consensus. In IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol.31 No.1 (2019), pp.211-223.
E. Arslan and T. Kosar. High-Speed Transfer Optimization Based on Historical Analysis and Real-Time Tuning. In IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol.29 No.6 (2018), pp.1303-1316.
Z. Nine, L. DiTacchio, A. Imran, T. Kosar, F. Bulut, J. Huang. GreenDataFlow: Minimizing the Energy Footprint of Global Data Movementg. n Proceedings of IEEE BIGDATA 2018, Seattle, WA, December 2018.
E. Arslan, K. Guner, and T. Kosar. HARP: Predictive Transfer Optimization Based on Historical Analysis and Real-time Probing. In Proceedings of IEEE/ACM Supercomputing (SC), 2016.
E. Yildirim, E. Arslan, J. Kim and T. Kosar. Application-Level Optimization of Big Data Transfers Through Pipelining, Parallelism and Concurrency. In IEEE Transactions on Cloud Computing (TCC), Vol.4 No.1 (2015) pp. 63-75.
I. Alan, E. Arslan, and T. Kosar. Energy-Aware Data Transfer Algorithms. In Proceedings of IEEE/ACM Supercomputing (SC), 2015.
D. Yin, E. Yildirim, S. Kulasekaran, B. Ross, and T. Kosar. A Data Throughput Prediction and Optimization Service for Widely Distributed Many-Task Computing. In IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol.22 No.6 (2011) pp.899-909.
E. Yildirim, D. Yin, and T. Kosar. Prediction of Optimal Parallelism Level in Wide Area Data Transfers. In IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol.22 No.12 (2011) pp.2033-2045.
T. Kosar, M. Balman, E. Yildirim, S. Kulasekaran and B. Ross. Stork Data Scheduler: Mitigating the Data Bottleneck in e-Science. In Philosophical Transactions of the Royal Society A, Vol.369 (2011), pp. 3254-3267.
T. Kosar, I. Akturk, M. Balman, and X. Wang. PetaShare: A Reliable, Efficient, and Transparent Distributed Storage Management System. In Scientific Programming Journal (SPJ), Vol. 19 No.1 (2011), pp.27-43.

A full list of publications can be found here.