Unified System for Processing Real and Simulated Data in the ATLAS Experiment. - Mikhail Borodin 001; Kaushik De; Jose Garcia Navarro; Dmitry Golubkov; Alexei Klimentov; Tadashi Maeno; David M. South; Alexandre Vaniachine (DAMDID/RCDL, 2015)

Fine-Grained Processing Towards HL-LHC Computing in ATLAS. - Doug Benjamin; Paolo Calafiura; Taylor Childers; Kaushik De; Alessandro Di Girolamo; Esteban Fullana; Wen Guan; Tadashi Maeno; Nicolò Magini; Paul Nilsson; Danila Oleynik; Shaojun Sun; et al. (eScience, 2018)

Towards an Intelligent Data Delivery Service. - Wen Guan; Tadashi Maeno; Gancho Dimitrov; Brian Paul Bockelman; Torre J. Wenaus; Vakhtang Tsulaia; Nicolò Magini (CoRR, 2020)

An intelligent Data Delivery Service for and beyond the ATLAS experiment. - Wen Guan; Tadashi Maeno; Brian Paul Bockelman; Torre J. Wenaus; Fahui Lin; Siarhei Padolski; Rui Zhang; Aleksandr Alekseev (CoRR, 2021)

Integrating the PanDA Workload Management System with the Vera C. Rubin Observatory. - Edward Karavakis; Wen Guan; Zhaoyu Yang; Tadashi Maeno; Torre J. Wenaus; Jennifer Adelman-McCarthy; Fernando Barreiro-Megino; Kaushik De; Richard Dubois; Michelle Gower; Tim Jenness; Alexei Klimentov; et al. (CoRR, 2023)

AI Surrogate Model for Distributed Computing Workloads. - David Keetae Park; Yihui Ren 001; Ozgur O. Kilic; Tatiana Korchuganova; Sairam Sri Vatsavai; Joseph Boudreau; Tasnuva Chowdhury; Shengyu Feng; Raees Khan; Jaehyung Kim 001; Scott Klasky; Tadashi Maeno; et al. (SC Workshops, 2024)

PanDA: Production and Distributed Analysis System. - Tadashi Maeno; Aleksandr Alekseev; Fernando Barreiro-Megino; Kaushik De; Wen Guan; Edward Karavakis; Alexei Klimentov; Tatiana Korchuganova; Fahui Lin; Paul Nilsson; Torre J. Wenaus; Zhaoyu Yang; et al. (Comput. Softw. Big Sci., 2024)

Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures. - Ozgur O. Kilic; David Keetae Park; Yihui Ren 001; Tatiana Korchuganova; Sairam Sri Vatsavai; Joseph Boudreau; Tasnuva Chowdhury; Shengyu Feng; Raees Khan; Jaehyung Kim 001; Scott Klasky; Tadashi Maeno; et al. (CoRR, 2025)

Machine Learning-Driven Predictive Resource Management in Complex Science Workflows. - Tasnuva Chowdhury; Tadashi Maeno; Fatih Furkan Akman; Joseph Boudreau; Sankha Dutta; Shengyu Feng; Adolfy Hoisie; Kuan-Chieh Hsu; Raees Khan; Jaehyung Kim 001; Ozgur O. Kilic; Scott Klasky; et al. (CoRR, 2025)

CGSim: A Simulation Framework for Large Scale Distributed Computing Environment. - Sairam Sri Vatsavai; Raees Khan; Kuan-Chieh Hsu; Ozgur O. Kilic; Paul Nilsson; Tatiana Korchuganova; David Keetae Park; Sankha Dutta; Yihui Ren 001; Joseph Boudreau; Tasnuva Chowdhury; Shengyu Feng; et al. (CoRR, 2025)

Data Management System Analysis for Distributed Computing Workloads. - Kuan-Chieh Hsu; Sairam Sri Vatsavai; Ozgur O. Kilic; Tatiana Korchuganova; Paul Nilsson; Sankha Dutta; Yihui Ren 001; David K. Park; Joseph Boudreau; Tasnuva Chowdhury; Shengyu Feng; Raees Khan; et al. (CoRR, 2025)

iDDS: Intelligent Distributed Dispatch and Scheduling for Workflow Orchestration. - Wen Guan; Tadashi Maeno; Aleksandr Alekseev; Fernando Barreiro-Megino; Kaushik De; Edward Karavakis; Alexei Klimentov; Tatiana Korchuganova; Fahui Lin; Paul Nilsson; Torre J. Wenaus; Zhaoyu Yang; et al. (CoRR, 2025)

Alternative mixed integer linear programming optimization for joint job scheduling and data allocation in grid computing. - Shengyu Feng; Jaehyung Kim 001; Yiming Yang 002; Joseph Boudreau; Tasnuva Chowdhury; Adolfy Hoisie; Raees Khan; Ozgur O. Kilic; Scott Klasky; Tatiana Korchuganova; Paul Nilsson; Verena Ingrid Martinez Outschoorn; et al. (Future Gener. Comput. Syst., 2026)