Enabling lock-free concurrent fine-grain access to massive distributed data: Application to supernovae detection. - Bogdan Nicolae; Gabriel Antoniu; Luc Bougé (CLUSTER, 2008)

Distributed Management of Massive Data: An Efficient Fine-Grain Data Access Scheme. - Bogdan Nicolae; Gabriel Antoniu; Luc Bougé (VECPAR, 2008)

BlobSeer: how to enable efficient versioning for large object storage under heavy access concurrency. - Bogdan Nicolae; Gabriel Antoniu; Luc Bougé (EDBT/ICDT Workshops, 2009)

Enabling High Data Throughput in Desktop Grids through Decentralized Data and Metadata Management: The BlobSeer Approach. - Bogdan Nicolae; Gabriel Antoniu; Luc Bougé (Euro-Par, 2009)

Towards a Grid File System Based on a Large-Scale BLOB Management Service. - Viet-Trung Tran; Gabriel Antoniu; Bogdan Nicolae; Luc Bougé; Osamu Tatebe (CoreGRID@Euro-Par, 2009)

Using Global Behavior Modeling to Improve QoS in Cloud Data Storage Services. - Jesús Montes; Bogdan Nicolae; Gabriel Antoniu; Alberto Sánchez 001; María S. Pérez 001 (CloudCom, 2010)

High Throughput Data-Compression for Cloud Storage. - Bogdan Nicolae (Globe, 2010)

BlobSeer: Efficient data management for data-intensive applications distributed at large-scale. - Bogdan Nicolae; Gabriel Antoniu; Luc Bougé (IPDPS Workshops, 2010)

BlobSeer: Bringing high throughput under heavy concurrency to Hadoop Map-Reduce applications. - Bogdan Nicolae; Diana Moise; Gabriel Antoniu; Luc Bougé; Matthieu Dorier (IPDPS, 2010)

BlobSeer: Towards efficient data storage management for large-scale, distributed systems. - Bogdan Nicolae (2010)

Efficient Support for MPI-I/O Atomicity Based on Versioning. - Viet-Trung Tran; Bogdan Nicolae; Gabriel Antoniu; Luc Bougé (CCGRID, 2011)

Optimizing Multi-deployment on Clouds by Means of Self-adaptive Prefetching. - Bogdan Nicolae; Franck Cappello; Gabriel Antoniu (Euro-Par (1), 2011)

Going back and forth: efficient multideployment and multisnapshotting on clouds. - Bogdan Nicolae; John Bresnahan; Kate Keahey; Gabriel Antoniu (HPDC, 2011)

BlobCR: efficient checkpoint-restart for HPC applications on IaaS clouds using virtual disk image snapshots. - Bogdan Nicolae; Franck Cappello (SC, 2011)

BlobSeer: Next-generation data management for large scale infrastructures. - Bogdan Nicolae; Gabriel Antoniu; Luc Bougé; Diana Moise; Alexandra Carpen-Amarie (J. Parallel Distributed Comput., 2011)

On the Benefits of Transparent Compression for Cost-Effective Cloud Data Storage. - Bogdan Nicolae (Trans. Large Scale Data Knowl. Centered Syst., 2011)

Scalable Reed-Solomon-Based Reliable Local Storage for HPC Applications on IaaS Clouds. - Leonardo Arturo Bautista-Gomez; Bogdan Nicolae; Naoya Maruyama; Franck Cappello; Satoshi Matsuoka (Euro-Par, 2012)

A hybrid local storage transfer scheme for live migration of I/O intensive workloads. - Bogdan Nicolae; Franck Cappello (HPDC, 2012)

Towards scalable array-oriented active storage: the pyramid approach. - Viet-Trung Tran; Bogdan Nicolae; Gabriel Antoniu (ACM SIGOPS Oper. Syst. Rev., 2012)

Understanding Vertical Scalability of I/O Virtualization for MapReduce Workloads: Challenges and Opportunities. - Bogdan Nicolae (Euro-Par Workshops, 2013)

Leveraging Collaborative Content Exchange for On-Demand VM Multi-deployments in IaaS Clouds. - Bogdan Nicolae; M. Mustafa Rafique (Euro-Par, 2013)

AI-Ckpt: leveraging memory access patterns for adaptive asynchronous incremental checkpointing. - Bogdan Nicolae; Franck Cappello (HPDC, 2013)

Towards Scalable Checkpoint Restart: A Collective Inline Memory Contents Deduplication Proposal. - Bogdan Nicolae (IPDPS, 2013)

Scalable data management for map-reduce-based data-intensive applications: a view for cloud and hybrid infrastructures. - Gabriel Antoniu; Alexandru Costan; Julien Bigot; Frédéric Desprez; Gilles Fedak; Sylvain Gault; Christian Pérez; Anthony Simonet; Bing Tang; Christophe Blanchet; Raphael Terreux; Luc Bougé; et al. (Int. J. Cloud Comput., 2013)

BlobCR: Virtual disk based checkpoint-restart for HPC applications on IaaS clouds. - Bogdan Nicolae; Franck Cappello (J. Parallel Distributed Comput., 2013)

Next Generation HPC Clouds: A View for Large-Scale Scientific and Data-Intensive Applications. - Dana Petcu; Horacio González-Vélez; Bogdan Nicolae; Juan Miguel García-Gómez; Elies Fuster-García; Craig Sheridan (Euro-Par Workshops (2), 2014)

Bursting the Cloud Data Bubble: Towards Transparent Storage Elasticity in IaaS Clouds. - Bogdan Nicolae; Pierre Riteau; Kate Keahey (IPDPS, 2014)

To overlap or not to overlap: optimizing incremental MapReduce computations for on-demand data upload. - Stefan Ene; Bogdan Nicolae; Alexandru Costan; Gabriel Antoniu (DataCloud@SC, 2014)

Transparent Throughput Elasticity for IaaS Cloud Storage Using Guest-Side Block-Level Caching. - Bogdan Nicolae; Pierre Riteau; Kate Keahey (UCC, 2014)

Discovering and Leveraging Content Similarity to Optimize Collective on-Demand Data Access to IaaS Cloud Storage. - Bogdan Nicolae; Andrzej Kochut; Alexei A. Karve (CCGRID, 2015)

Techniques to improve the scalability of collective checkpointing at large scale. - Bogdan Nicolae (HPCS, 2015)

Towards efficient on-demand VM provisioning: Study of VM runtime I/O access patterns to shared image content. - Andrzej Kochut; Alexei A. Karve; Bogdan Nicolae (IM, 2015)

Leveraging Naturally Distributed Data Redundancy to Reduce Collective I/O Replication Overhead. - Bogdan Nicolae (IPDPS, 2015)

Enabling Big Data Analytics in the Hybrid Cloud Using Iterative MapReduce. - Francisco J. Clemente-Castelló; Bogdan Nicolae; Kostas Katrinis; M. Mustafa Rafique; Rafael Mayo 002; Juan Carlos Fernández 002; Daniela Loreti (UCC, 2015)

Towards Transparent Throughput Elasticity for IaaS Cloud Storage: Exploring the Benefits of Adaptive Block-Level Caching. - Bogdan Nicolae; Pierre Riteau; Kate Keahey (Int. J. Distributed Syst. Technol., 2015)

On exploiting data locality for iterative mapreduce applications in hybrid clouds. - Francisco J. Clemente-Castelló; Bogdan Nicolae; Rafael Mayo 002; Juan Carlos Fernández 002; M. Mustafa Rafique (BDCAT, 2016)

Towards Memory-Optimized Data Shuffling Patterns for Big Data Analytics. - Bogdan Nicolae; Carlos H. A. Costa; Claudia Misale; Kostas Katrinis; Yoonho Park (CCGrid, 2016)

Data Multiverse: The Uncertainty Challenge of Future Big Data Analytics. - Radu Tudoran; Bogdan Nicolae; Götz Brasche (International KEYSTONE Conference, 2016)

Towards scalable on-demand collective data access in IaaS clouds: An adaptive collaborative content exchange proposal. - Bogdan Nicolae; Andrzej Kochut; Alexei A. Karve (J. Parallel Distributed Comput., 2016)

Guest Editors Introduction: Special Issue on Scientific Cloud Computing. - Kate Keahey; Ioan Raicu; Kyle Chard; Bogdan Nicolae (IEEE Trans. Cloud Comput., 2016)

Towards a unified storage and ingestion architecture for stream processing. - Ovidiu-Cristian Marcu; Alexandru Costan; Gabriel Antoniu; María S. Pérez-Hernández; Radu Tudoran; Stefano Bortoli; Bogdan Nicolae (IEEE BigData, 2017)

Evaluation of Data Locality Strategies for Hybrid Cloud Bursting of Iterative MapReduce. - Francisco J. Clemente-Castelló; Bogdan Nicolae; M. Mustafa Rafique; Rafael Mayo 002; Juan Carlos Fernández 002 (CCGrid, 2017)

Exploring Shared State in Key-Value Store for Window-Based Multi-Pattern Streaming Analytics. - Ovidiu-Cristian Marcu; Radu Tudoran; Bogdan Nicolae; Alexandru Costan; Gabriel Antoniu; María S. Pérez-Hernández (CCGrid, 2017)

Leveraging Adaptive I/O to Optimize Collective Data Shuffling Patterns for Big Data Analytics. - Bogdan Nicolae; Carlos H. A. Costa; Claudia Misale; Kostas Katrinis; Yoonho Park (IEEE Trans. Parallel Distributed Syst., 2017)

Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models. - Silvina Caíno-Lores; Jesús Carretero 001; Bogdan Nicolae; Orcun Yildiz; Tom Peterka (BDCAT, 2018)

KerA: Scalable Data Ingestion for Stream Processing. - Ovidiu-Cristian Marcu; Alexandru Costan; Gabriel Antoniu; María S. Pérez-Hernández; Bogdan Nicolae; Radu Tudoran; Stefano Bortoli (ICDCS, 2018)

Performance Model of MapReduce Iterative Applications for Hybrid Cloud Bursting. - Francisco J. Clemente-Castelló; Bogdan Nicolae; Rafael Mayo 002; Juan Carlos Fernández 002 (IEEE Trans. Parallel Distributed Syst., 2018)

Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. - Xin Liang 001; Sheng Di; Dingwen Tao; Sihuan Li; Bogdan Nicolae; Zizhong Chen; Franck Cappello (CLUSTER, 2019)

Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoring. - Shu-Mei Tseng; Bogdan Nicolae; George Bosilca; Emmanuel Jeannot; Aparna Chandramowlishwaran; Franck Cappello (Euro-Par, 2019)

Session details: Session 1: Converged Computing Infrastructures. - Bogdan Nicolae (ScienceCloud@HPDC, 2019)

VeloC: Towards High Performance Adaptive Asynchronous Checkpointing at Large Scale. - Bogdan Nicolae; Adam Moody; Elsa Gonsiorowski; Kathryn M. Mohror; Franck Cappello (IPDPS, 2019)

Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training. - Jiali Li; Bogdan Nicolae; Justin M. Wozniak; George Bosilca (MLHPC@SC, 2019)

Significantly improving lossy compression quality based on an optimized hybrid prediction model. - Xin Liang 001; Sheng Di; Sihuan Li; Dingwen Tao; Bogdan Nicolae; Zizhong Chen; Franck Cappello (SC, 2019)

Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY. - Silvina Caíno-Lores; Jesús Carretero 001; Bogdan Nicolae; Orcun Yildiz; Tom Peterka (IEEE Access, 2019)

DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models. - Bogdan Nicolae; Jiali Li; Justin M. Wozniak; George Bosilca; Matthieu Dorier; Franck Cappello (CCGRID, 2020)

DeepClone: Lightweight State Replication of Deep Learning Models for Data Parallel Training. - Bogdan Nicolae; Justin M. Wozniak; Matthieu Dorier; Franck Cappello (CLUSTER, 2020)

CoSim: A Simulator for Co-Scheduling of Batch and On-Demand Jobs in HPC Datacenters. - Avinash Maurya; Bogdan Nicolae; Ishan Guliani; M. Mustafa Rafique (DS-RT, 2020)

Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning. - Tonmoy Dey; Kento Sato; Bogdan Nicolae; Jian Guo; Jens Domke; Weikuan Yu; Franck Cappello; Kathryn M. Mohror (IPDPS Workshops, 2020)

High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response. - Justin M. Wozniak; Hyun Seung Yoo; Jamaludin Mohd-Yusof; Bogdan Nicolae; Nicholson T. Collier; Jonathan Ozik; Thomas S. Brettin; Rick Stevens (MLHPC/AI4S@SC, 2020)

DataStates: Towards Lightweight Data Models for Deep Learning. - Bogdan Nicolae (SMC, 2020)

Shared-Memory Communication for Containerized Workflows. - Tanner Hobson; Orcun Yildiz; Bogdan Nicolae; Jian Huang 007; Tom Peterka (CCGRID, 2021)

Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. - Hongyuan Liu 002; Bogdan Nicolae; Sheng Di; Franck Cappello; Adwait Jog (CLUSTER, 2021)

Virtual Log-Structured Storage for High-Performance Streaming. - Ovidiu-Cristian Marcu; Alexandru Costan; Bogdan Nicolae; Gabriel Antoniu (CLUSTER, 2021)

Towards High Performance Resilience Using Performance Portable Abstractions. - Nicolas M. Morales; Keita Teranishi; Bogdan Nicolae; Christian Trott; Franck Cappello (Euro-Par, 2021)

Towards Efficient I/O Scheduling for Collaborative Multi-Level Checkpointing. - Avinash Maurya; Bogdan Nicolae; M. Mustafa Rafique; Thierry Tonellot; Franck Cappello (MASCOTS, 2021)

High-Performance Ptychographic Reconstruction with Federated Facilities. - Tekin Bicer; Xiaodong Yu 001; Daniel J. Ching; Ryan Chard; Mathew J. Cherukara; Bogdan Nicolae; Rajkumar Kettimuthu; Ian T. Foster (SMC, 2021)

Braid-DB: Toward AI-Driven Science with Machine Learning Provenance. - Justin M. Wozniak; Zhengchun Liu; Rafael Vescovi; Ryan Chard; Bogdan Nicolae; Ian T. Foster (SMC, 2021)

Dynamic Heterogeneous Task Specification and Execution for In Situ Workflows. - Orcun Yildiz; Dmitriy Morozov; Bogdan Nicolae; Tom Peterka (WORKS, 2021)

VELOC: VEry Low Overhead Checkpointing in the Age of Exascale. - Bogdan Nicolae; Adam Moody; Gregory Kosinovsky; Kathryn M. Mohror; Franck Cappello (CoRR, 2021)

Towards Aggregated Asynchronous Checkpointing. - Mikaila J. Gossman; Bogdan Nicolae; Jon C. Calhoun; Franck Cappello; Melissa C. Smith (CoRR, 2021)

Demystifying asynchronous I/O Interference in HPC applications. - Shu-Mei Tseng; Bogdan Nicolae; Franck Cappello; Aparna Chandramowlishwaran (Int. J. High Perform. Comput. Appl., 2021)

Towards Low-Overhead Resilience for Data Parallel Deep Learning. - Bogdan Nicolae; Tanner Hobson; Orcun Yildiz; Tom Peterka; Dmitriy Morozov (CCGRID, 2022)

Integrating process, control-flow, and data resiliency layers using a hybrid Fenix/Kokkos approach. - Matthew Whitlock; Nicolas M. Morales; George Bosilca; Aurelien Bouteiller; Bogdan Nicolae; Keita Teranishi; Elisabeth Giem; Vivek Sarkar (CLUSTER, 2022)

Large Scale Caching and Streaming of Training Data for Online Deep Learning. - Jie Liu; Bogdan Nicolae; Dong Li 001; Justin M. Wozniak; Tekin Bicer; Zhengchun Liu; Ian T. Foster (FlexScience@HPDC, 2022)

Towards Efficient Cache Allocation for High-Frequency Checkpointing. - Avinash Maurya; Bogdan Nicolae; M. Mustafa Rafique; Amr M. Elsayed; Thierry Tonellot; Franck Cappello (HIPC, 2022)

FlexScience'22: 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures. - Alexandru Costan; Bogdan Nicolae; Kento Sato (HPDC, 2022)

Lobster: Load Balance-Aware I/O for Distributed DNN Training. - Jie Liu; Bogdan Nicolae; Dong Li 001 (ICPP, 2022)

Scalable Multi-Versioning Ordered Key-Value Stores with Persistent Memory Support. - Bogdan Nicolae (IPDPS, 2022)

Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. - Ishan Abhinit; Emily K. Adams; Khairul Alam; Brian Chase; Ewa Deelman; Lev Gorenstein; Stephen Hudson; Tanzima Z. Islam; Jeffrey Larson 001; Geoffrey Lentner; Anirban Mandal; John-Luke Navarro; et al. (WORKS@SC, 2022)

Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP. - Bogdan Nicolae; Tanzima Z. Islam; Robert B. Ross; Huub J. J. Van Dam; Kevin Assogba; Polina Shpilker; Mikhail Titov; Matteo Turilli; Tianle Wang 001; Ozgur O. Kilic; Shantenu Jha; Line C. Pouchard (e-Science, 2023)

MPIGDB: A Flexible Debugging Infrastructure for MPI Programs. - Robert Underwood; Bogdan Nicolae (FlexScience@HPDC, 2023)

Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering. - Kevin Assogba; Bogdan Nicolae; M. Mustafa Rafique (HiPC, 2023)

Towards Efficient I/O Pipelines Using Accumulated Compression. - Avinash Maurya; Bogdan Nicolae; M. Mustafa Rafique; Franck Cappello (HiPC, 2023)

Understanding Patterns of Deep Learning Model Evolution in Network Architecture Search. - Robert Underwood; Meghana Madhyastha; Randal C. Burns; Bogdan Nicolae (HiPC, 2023)

GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching. - Avinash Maurya; M. Mustafa Rafique; Thierry Tonellot; Hussain J. AlSalem; Franck Cappello; Bogdan Nicolae (HPDC, 2023)

Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication. - Nigel Tan; Jakob Lüttgau; Jack Marquez; Keita Teranishi; Nicolas M. Morales; Sanjukta Bhowmick; Franck Cappello; Michela Taufer; Bogdan Nicolae (ICPP, 2023)

DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access. - Meghana Madhyastha; Robert Underwood; Randal C. Burns; Bogdan Nicolae (ICS, 2023)

LowFive: In Situ Data Transport for High-Performance Workflows. - Tom Peterka; Dmitriy Morozov; Arnur Nigmetov; Orcun Yildiz; Bogdan Nicolae; Philip E. Davis (IPDPS, 2023)

Modeling Multi-Threaded Aggregated I/O for Asynchronous Checkpointing on HPC Systems. - Mikaila J. Gossman; Bogdan Nicolae; Jon C. Calhoun (ISPDC, 2023)

Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics. - Kevin Assogba; Bogdan Nicolae; Hubertus Van Dam; M. Mustafa Rafique (SC Workshops, 2023)

Elastic deep learning through resilient collective operations. - Jiali Li; George Bosilca; Aurelien Bouteiller; Bogdan Nicolae (SC Workshops, 2023)

Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search. - Robert Underwood; Meghana Madhyastha; Randal C. Burns; Bogdan Nicolae (CoRR, 2023)

Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers. - Thomas Bouvier; Bogdan Nicolae; Hugo Chaugier; Alexandru Costan; Ian T. Foster; Gabriel Antoniu (CCGrid, 2024)

Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows. - Bogdan Nicolae; Justin M. Wozniak; Tekin Bicer; Hai Nguyen; Parth Patel; Haochen Pan; Amal Gueroudji; Maxime Gonthier; Valérie Hayot-Sasson; Eliu A. Huerta; Kyle Chard; Ryan Chard; et al. (e-Science, 2024)

Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers. - Avinash Maurya; Jie Ye; M. Mustafa Rafique; Franck Cappello; Bogdan Nicolae (FlexScience@HPDC, 2024)

DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. - Avinash Maurya; Robert Underwood; M. Mustafa Rafique; Franck Cappello; Bogdan Nicolae (HPDC, 2024)

EvoStore: Towards Scalable Storage of Evolving Learning Models. - Robert Underwood; Meghana Madhyastha; Randal C. Burns; Bogdan Nicolae (HPDC, 2024)

Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models. - Jie Ye; Jaime Cernuda; Neeraj Rajesh; Keith Bateman; Orcun Yildiz; Tom Peterka; Arnur Nigmetov; Dmitriy Morozov; Xian-He Sun; Anthony Kougkas; Bogdan Nicolae (ICPP, 2024)

Deep Optimizer States: Towards Scalable Training of Transformer Models using Interleaved Offloading. - Avinash Maurya; Jie Ye; M. Mustafa Rafique; Franck Cappello; Bogdan Nicolae (Middleware, 2024)

Towards Affordable Reproducibility Using Scalable Capture and Comparison of Intermediate Multi-Run Results. - Nigel Tan; Kevin Assogba; Walter J. Ashworth; Befikir Bogale; Franck Cappello; M. Mustafa Rafique; Michela Taufer; Bogdan Nicolae (Middleware, 2024)

Wilkins: HPC In Situ Workflows Made Easy. - Orcun Yildiz; Dmitriy Morozov; Arnur Nigmetov; Bogdan Nicolae; Tom Peterka (CoRR, 2024)

Scalable I/O aggregation for asynchronous multi-level checkpointing. - Mikaila J. Gossman; Bogdan Nicolae; Jon C. Calhoun (Future Gener. Comput. Syst., 2024)

Evaluating Expansion Memory for Optimizer State Offloading for Large Transformer Models. - Moiz Arif; Avinash Maurya; Sudharshan Vazhkudai; Bogdan Nicolae (IPDPS (Workshops), 2025)

Characterizing the Behavior and Impact of KV Caching on Transformer Inferences Under Concurrency. - Jie Ye; Jaime Cernuda; Avinash Maurya; Xian-He Sun; Anthony Kougkas; Bogdan Nicolae (IPDPS, 2025)

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)

Efficient distributed continual learning for steering experiments in real-time. - Thomas Bouvier; Bogdan Nicolae; Alexandru Costan; Tekin Bicer; Ian T. Foster; Gabriel Antoniu (Future Gener. Comput. Syst., 2025)

CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation. - Ziyue Liu; Ruijie Zhang; Zhengyang Wang; Zi Yang; Paul D. Hovland; Bogdan Nicolae; Franck Cappello; Zheng Zhang (CoRR, 2025)

EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. - Franck Cappello; Sandeep Madireddy; Robert Underwood; Neil Getty; Nicholas Lee-Ping Chia; Nesar Ramachandra; Josh Nguyen; Murat Keçeli; Tanwi Mallick; Zilinghan Li; Marieme Ngom; Chenhui Zhang; et al. (CoRR, 2025)

D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage. - Maxime Gonthier; Dante D. Sánchez-Gallegos; Haochen Pan; Bogdan Nicolae; Sicheng Zhou; Hai Nguyen; Valérie Hayot-Sasson; J. Gregory Pauloski; Jesús Carretero 001; Kyle Chard; Ian T. Foster (CoRR, 2025)