Instrumentation and Trace Analysis for Ad-Hoc Python Workflows in Cloud Environments

Ruben Acuna, Zoe Lacroix, Rida Bazzi

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

4 Scopus citations

Abstract

Knowledge of structure is critical to map legacy workflows to environments suitable to run on the cloud. We present a method which characterizes a workflow structure with the execution trace produced by instrumented logging functionality. The method generates the structure of workflows to support their reuse by permitting their transformation into modern execution environments. The method presented in the paper is implemented for Python workflows and demonstrated in the context of several legacy scientific workflows.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages114-121
Number of pages8
ISBN (Print)9781467372879
DOIs
StatePublished - Aug 19 2015
Event8th IEEE International Conference on Cloud Computing, CLOUD 2015 - New York, United States
Duration: Jun 27 2015Jul 2 2015

Other

Other8th IEEE International Conference on Cloud Computing, CLOUD 2015
CountryUnited States
CityNew York
Period6/27/157/2/15

Keywords

  • Cloud
  • Instrumentation
  • Python
  • Scientific application
  • Trace analysis
  • Workflow
  • Workflow graph
  • Workflow structure

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Instrumentation and Trace Analysis for Ad-Hoc Python Workflows in Cloud Environments'. Together they form a unique fingerprint.

  • Cite this

    Acuna, R., Lacroix, Z., & Bazzi, R. (2015). Instrumentation and Trace Analysis for Ad-Hoc Python Workflows in Cloud Environments. In Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015 (pp. 114-121). [7214035] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CLOUD.2015.25