Classification of scientific workflows based on reproducibility analysis

A. Banati, P. Kacsuk, M. Kozlovszky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In the scientist's community one of the most vital challenges is the reproducibility of a workflow execution. The necessary parameters of the execution (we call them descriptors) can be external which depend on for example the computing infrastructure (grids, clusters and clouds), on third party resources or it can be internal which belong to the code of the workflow such as variables. Consequently, during the process of re-execution these parameters may change or become unavailable and finally they can prevent to reproduce the workflow. However in most cases the lack of the original parameters can be compensated by replacing, evaluating or simulating the value of the descriptors with some extra cost in order to make it reproducible. Our goal in this paper is to classify the scientific workflows based on the method and cost how they can become reproducible.

Original languageEnglish
Title of host publication2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages327-331
Number of pages5
ISBN (Electronic)9789532330885
DOIs
Publication statusPublished - Jul 25 2016
Event39th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2016 - Opatija, Croatia
Duration: May 30 2016Jun 3 2016

Other

Other39th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2016
CountryCroatia
CityOpatija
Period5/30/166/3/16

    Fingerprint

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Electrical and Electronic Engineering

Cite this

Banati, A., Kacsuk, P., & Kozlovszky, M. (2016). Classification of scientific workflows based on reproducibility analysis. In 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2016 - Proceedings (pp. 327-331). [7522161] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MIPRO.2016.7522161