most citedD-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage

3 citations · 7 across the 7 of their papers we have counts for

collaborators

9 papers

cs.DC2026

Icicle: Scalable Metadata Indexing and Real-Time Monitoring for HPC File Systems

Haochen Pan, Ryan Chard, Song Young Oh +7

Modern HPC file systems can contain billions of files and hundreds of petabytes of data, making even simple questions increasingly intractable to answer. Traditional file system ut…

cs.DC20251 cited

Addressing Reproducibility Challenges in HPC with Continuous Integration

Valérie Hayot-Sasson, Nathaniel Hudson, André Bauer +3

The high-performance computing (HPC) community has adopted incentive structures to motivate reproducible research, with major conferences awarding badges to papers that meet reprod…

cs.DC20252 cited

Experiences with Model Context Protocol Servers for Science and High Performance Computing

Haochen Pan, Ryan Chard, Reid Mello +12

Large language model (LLM)-powered agents are increasingly used to plan and execute scientific workflows, yet most research cyberinfrastructure (CI) exposes heterogeneous APIs and…

cs.DC2025

DynoStore: A wide-area distribution system for the management of data over heterogeneous storage

Dante D. Sanchez-Gallegos, J. L. Gonzalez-Compean, Maxime Gonthier +6

Data distribution across different facilities offers benefits such as enhanced resource utilization, increased resilience through replication, and improved performance by processin…

cs.DC20253 cited

D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage

Maxime Gonthier, Dante D. Sanchez-Gallegos, Haochen Pan +8

The exponential growth of data necessitates distributed storage models, such as peer-to-peer systems and data federations. While distributed storage can reduce costs and increase r…

cs.CE20251 cited

AERO: An autonomous platform for continuous research

Valérie Hayot-Sasson, Abby Stevens, Nicholson Collier +10

The COVID-19 pandemic highlighted the need for new data infrastructure, as epidemiologists and public health workers raced to harness rapidly evolving data, analytics, and infrastr…