HCompress: Hierarchical Data Compression for Multi-Tiered Storage Environments. - Hariharan Devarajan; Anthony Kougkas; Luke Logan; Xian-He Sun (IPDPS, 2020)

HFlow: A Dynamic and Elastic Multi-Layered I/O Forwarder. - Jaime Cernuda Garcia; Hariharan Devarajan; Luke Logan; Keith Bateman; Neeraj Rajesh; Jie Ye; Anthony Kougkas; Xian-He Sun (CLUSTER, 2021)

pMEMCPY: a simple, lightweight, and portable I/O library for storing data in persistent memory. - Luke Logan; Jay F. Lofstead; Scott Levy; Patrick M. Widener; Xian-He Sun; Anthony Kougkas (CLUSTER, 2021)

Apollo: : An ML-assisted Real-Time Storage Resource Observer. - Neeraj Rajesh; Hariharan Devarajan; Jaime Cernuda Garcia; Keith Bateman; Luke Logan; Jie Ye; Anthony Kougkas; Xian-He Sun (HPDC, 2021)

LuxIO: Intelligent Resource Provisioning and Auto-Configuration for Storage Services. - Keith Bateman; Neeraj Rajesh; Jaime Cernuda Garcia; Luke Logan; Jie Ye; Stephen Herbein; Anthony Kougkas; Xian-He Sun (HIPC, 2022)

LabStor: A Modular and Extensible Platform for Developing High-Performance, Customized I/O Stacks in Userspace. - Luke Logan; Jaime Cernuda Garcia; Jay F. Lofstead; Xian-He Sun; Anthony Kougkas (SC, 2022)

An Evaluation of DAOS for Simulation and Deep Learning HPC Workloads. - Luke Logan; Jay F. Lofstead; Xian-He Sun; Anthony Kougkas (CHEOPS@EuroSys, 2023)

Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis. - Jaime Cernuda; Luke Logan; Ana Gainaru; Scott Klasky; Jay F. Lofstead; Anthony Kougkas; Xian-He Sun (CCGrid, 2024)

MegaMmap: Blurring the Boundary Between Memory and Storage for Data-Intensive Workloads. - Luke Logan; Anthony Kougkas; Xian-He Sun (SC, 2024)

An Evaluation of DAOS for Simulation and Deep Learning HPCWorkloads. - Luke Logan; Jay F. Lofstead; Xian-He Sun; Anthony Kougkas (ACM SIGOPS Oper. Syst. Rev., 2024)

DTIO: Data Stack for AI-driven Workflows. - Keith Alex Bateman; Neeraj Rajesh; Jaime Cernuda; Luke Logan; Bogdan Nicolae; Franck Cappello; Xian-He Sun; Anthony Kougkas (SSDBM, 2025)