henhao
Sign in
BioinformaticsbioRxiv
Preprint

S3Mirror: Making Genomic Data Transfers Fast, Reliable, and Observable with DBOS

Steven G. GrinnelliD, Alex Poliakov

PDFDOI

Abstract

To meet the needs of a large pharmaceutical organization, we set out to create S3Mirror - an application for transferring large genomic sequencing datasets between S3 buckets quickly, reliably, and observably. We used the DBOS-Transact durable execution framework to achieve these goals and benchmarked the performance and cost of the application. S3Mirror is an open source DBOS Python application that can run in a variety of environments, including DBOS Cloud Pro where it runs as much as 40x faster than AWS DataSync at a fraction of the cost. Moreover, S3Mirror is resilient to failures and allows for real-time file-wise observability of ongoing and past transfers.

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISAhmad '20Yazar '14Roberson '25Versaci '18Kancherla '20Hider '19
51% semantic matchGenomics
Tanveer Ahmad, Nauman Ahmed, Johan Peltenburg+1 more·bioRxiv·Apr 6, 2020· 1 citations