A Run-time System for Efficient Execution of Scientific Workflows on Distributed Environments

  • Authors:

  • George Teodoro;Tulio Tavares;Renato Ferreira;Tahsin Kurc;Wagner Meira Jr.;Dorgival Guedes;Tony Pan;Joel Saltz

  • Affiliations:

  • Universidade Federal de Minas Gerais, Brazil;Universidade Federal de Minas Gerais, Brazil;Universidade Federal de Minas Gerais, Brazil;The Ohio State University, USA;Universidade Federal de Minas Gerais, Brazil;Universidade Federal de Minas Gerais, Brazil;The Ohio State University, USA;The Ohio State University, USA

  • Venue:
  • SBAC-PAD '06 Proceedings of the 18th International Symposium on Computer Architecture and High Performance Computing
  • Year:
  • 2006

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Abstract

Scientific workflow systems have been introduced in response to the demand of researchers from several domains of science who need to process and analyze increasingly larger datasets. The design of these systems is largely based on the observation that data analysis applications can be composed as pipelines or networks of computations on data. In this work we present a run-time support system that is designed to facilitate this type of computation in distributed computing environments. Our system is optimized for data-intensive workflows, in which efficient management and retrieval of data, coordination of data processing and data movement, and check-pointing of intermediate results are critical and challenging issues. Experimental evaluation of our system shows that linear speedups can be achieved for sophisticated applications, which are implemented as a network of multiple data processing components.