Publication detail

k-Dispatch: Enabling Cost-Optimized Biomedical Workflow Offloading

JAROŠ, M. JAROŠ, J.

Original Title

k-Dispatch: Enabling Cost-Optimized Biomedical Workflow Offloading

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Automated execution of computational workflows has become a critical issue in achieving high productivity in various research and development fields. Over the last few years, workflows have emerged as a significant abstraction of numerous real-world processes and phenomena, including digital twins, personalized medici-ne, and simulation-based science   in general. k-Dispatch is a novel tool designed for the efficient offloading of biomedical workflows to remote high-performance computing clusters or cloud. In addition to data transfers, reporting, error handling and remote computations monitoring, k-Dispatch leverages a set of optimizations to dynamically determine suitable execution parameters for individual tasks within workflows, aiming to meet predefined constraints and optimization criteria. k-Dispatch has been successfully deployed within k-Plan, an advanced modelling tool for planning transcranial ultrasound stimulation (TUS) procedures. 

Keywords

Workflow scheduling, Multi-criteria optimization, HPC, Cloud

Authors

JAROŠ, M.; JAROŠ, J.

Released

30. 8. 2024

Publisher

Association for Computing Machinery

Location

New York

ISBN

979-8-4007-0413-0

Book

HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing

Pages from

358

Pages to

360

Pages count

3

URL

https://www.fit.vut.cz/research/publication/13179/

BibTex

@inproceedings{BUT189461,
  author="Marta {Jaroš} and Jiří {Jaroš}",
  title="k-Dispatch: Enabling Cost-Optimized Biomedical Workflow Offloading",
  booktitle="HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing",
  year="2024",
  pages="358--360",
  publisher="Association for Computing Machinery",
  address="New York",
  doi="10.1145/3625549.3658828",
  isbn="979-8-4007-0413-0",
  url="https://www.fit.vut.cz/research/publication/13179/"
}

Documents

hpdc-poster-2024.pdf
hpdc24.pdf