Publication detail

Adaptive Execution Planning in Workflow Management Systems

JAROŠ, M.

Original Title

Adaptive Execution Planning in Workflow Management Systems

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Workflow management systems try to move grid, cloud and high performance computing (HPC) services closer to scientific and industrial community by providing a user-friendly interface enabling definition of complex problems presented as workflows. Workflows provide a formal way to define and automate multi-step procedures reflecting real-world phenomena. However, this still places demands on users to decide how to execute particular tasks in workflows. k-Dispatch, a platform providing automated tasks execution, planning and monitoring, focuses on selected workflows from medical environment. For security reasons, only in-house code binaries tuned for specific HPC resources are used. k-Dispatch screens out users from the complexity of HPC systems. This paper describes how the presented framework deals with the task execution planning. Static planning that uses default execution parameters may not be sufficient for the effective execution since the results delivery is time-constrained, and there is an effort to minimize the computational cost. Adaptive planning discussed in this paper may improve this process.

Keywords

workflow management system, automated execution planning, adaptive planning, job scheduling simulator

Authors

JAROŠ, M.

Released

4. 9. 2019

Publisher

Academic and Medical Conference Agency

Location

Doksy

ISBN

978-80-88214-20-5

Book

Počítačové architektury a diagnostika 2019

Pages from

23

Pages to

26

Pages count

4

URL

https://www.fit.vut.cz/research/publication/12018/

BibTex

@inproceedings{BUT161850,
  author="Marta {Jaroš}",
  title="Adaptive Execution Planning in Workflow Management Systems",
  booktitle="Počítačové architektury a diagnostika 2019",
  year="2019",
  pages="23--26",
  publisher="Academic and Medical Conference Agency",
  address="Doksy",
  isbn="978-80-88214-20-5",
  url="https://www.fit.vut.cz/research/publication/12018/"
}