Distributed and adaptive execution of Condor DAGMan workflows

Selim Kalayci, Gargi Dasgupta, Liana Fong, Onyeka Ezenwoye, S. Masoud Sadjadi

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

10 Scopus citations

Abstract

This paper presents a decentralized execution approach to large-scale workflows on multiple resource domains. This approach includes a low overhead, decentralized runtime adaptation mechanism that improves the performance of the system. A prototype implementation based on standard Condor DAGMan workflow execution engine, does not require any modifications to Condor or its underlying system.

Original languageEnglish (US)
Title of host publicationSEKE 2010 - Proceedings of the 22nd International Conference on Software Engineering and Knowledge Engineering
Pages587-590
Number of pages4
StatePublished - Dec 1 2010
Event22nd International Conference on Software Engineering and Knowledge Engineering, SEKE 2010 - Redwood City, CA, United States
Duration: Jul 1 2010Jul 3 2010

Publication series

NameSEKE 2010 - Proceedings of the 22nd International Conference on Software Engineering and Knowledge Engineering

Other

Other22nd International Conference on Software Engineering and Knowledge Engineering, SEKE 2010
CountryUnited States
CityRedwood City, CA
Period7/1/107/3/10

Keywords

  • Decentralized adaptive workflow execution

ASJC Scopus subject areas

  • Software

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  • Cite this

    Kalayci, S., Dasgupta, G., Fong, L., Ezenwoye, O., & Sadjadi, S. M. (2010). Distributed and adaptive execution of Condor DAGMan workflows. In SEKE 2010 - Proceedings of the 22nd International Conference on Software Engineering and Knowledge Engineering (pp. 587-590). (SEKE 2010 - Proceedings of the 22nd International Conference on Software Engineering and Knowledge Engineering).