Work

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

Year: 2025

Type: conference-paper

Abstract: 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 reliability, the heterogeneity in storage capacity, I/O performance, and failure rates of storage resources makes their efficient use a challenge.Further, node failures are common and can lead to data unavailability and even data loss.

Source: ACM International Conference on Supercomputing (ICS)

DOI: 10.1145/3721145.3730412

Authors: Maxime Gonthier, Dante D. Sanchez-Gallegos, Haochen Pan, Bogdan Nicolae, Sicheng Zhou, Hai Duc Nguyen, Valerie Hayot-Sasson, Greg Pauloski, Jesus Carretero, Kyle Chard, Ian Foster

Institutions: Argonne National Laboratory, University of Chicago, Universidad Carlos III de Madrid, Illinois Institute of Technology, Southern University of Science and Technology

Language: English

Topic: Advanced Data Storage Technologies

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, U.S. Department of Energy, Ministerio de Ciencia, Innovación y Universidades, Office of Science, Agencia Estatal de Investigación, Advanced Scientific Computing Research, Argonne National Laboratory

Awards: G102163711, G107546177, G1105844351, G2262748287, G2287611682, G262962599, Collaborative Research: Elements: VLCC-States: Versioned Lineage-Driven Checkpointing of Composable States, G3480869486, G498139845, G513797252, G5398989114, G5999772198, G6848031779, G6918803902, G7084143925, G878601127, G969889393, G993149817

OpenAlex ID: W4413411735

FWCI: 3.864

Cites: 25

Cited by: 3

Related to: 10