New aspect of investigating fault sensitivity of scientific workflows

E. Kail, P. Kacsuk, M. Kozlovszky

Research output: Conference contribution

Abstract

Scientific workflows have emerged as a key technology that assists scientists with the design, management, execution, sharing and reuse of in silico experiments. These experiments are mainly data and compute intensive so they require high computing infrastructures to execute them. Since the complexity of these computing infrastructures is high so fault tolerant behavior must be supported to ensure the successful termination of the workflows while keeping to soft or hard deadlines and maintain usage costs at an optimum level. In this work we introduce a new aspect of supporting fault tolerance behavior or even task scheduling methods in time critical applications, which is based primarily on the topology of the workflow model. We show simple examples to prove the theoretical significance of our proposal.

Original languageEnglish
Title of host publicationINES 2015 - IEEE 19th International Conference on Intelligent Engineering Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages185-188
Number of pages4
ISBN (Print)9781467379397
DOIs
Publication statusPublished - nov. 13 2015
EventIEEE 19th International Conference on Intelligent Engineering Systems, INES 2015 - Bratislava, Slovakia
Duration: szept. 3 2015szept. 5 2015

Other

OtherIEEE 19th International Conference on Intelligent Engineering Systems, INES 2015
CountrySlovakia
CityBratislava
Period9/3/159/5/15

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence
  • Software

Cite this

Kail, E., Kacsuk, P., & Kozlovszky, M. (2015). New aspect of investigating fault sensitivity of scientific workflows. In INES 2015 - IEEE 19th International Conference on Intelligent Engineering Systems, Proceedings (pp. 185-188). [7329703] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INES.2015.7329703