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WS-VLAM: towards a scalable workflow system on the grid

Published: 25 June 2007 Publication History

Abstract

Large scale scientific applications require extensive support from middleware and frameworks that provide the capabilities for distributed execution in the Grid environment. In particular, one of the examples of such frameworks is a Grid-enabled workflow management system. In this paper we present WS-VLAM workflow management system, describe its current design and the developments targeting to support efficient and scalable execution of large workflow applications on the Grid.

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Cited By

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  • (2017)Software architectures to integrate workflow engines in science gatewaysFuture Generation Computer Systems10.1016/j.future.2017.01.00575(239-255)Online publication date: Oct-2017
  • (2015)NeuroManager: a workflow analysis based simulation management engine for computational neuroscienceFrontiers in Neuroinformatics10.3389/fninf.2015.000249Online publication date: 13-Oct-2015
  • (2013)Virtual AcceleratorProceedings of the 2013 13th International Conference on Computational Science and Its Applications10.1109/ICCSA.2013.33(166-169)Online publication date: 24-Jun-2013
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Published In

cover image ACM Conferences
WORKS '07: Proceedings of the 2nd workshop on Workflows in support of large-scale science
June 2007
86 pages
ISBN:9781595937155
DOI:10.1145/1273360
  • General Chairs:
  • Ewa Deelman,
  • Ian Taylor
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 25 June 2007

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Author Tags

  1. distributed workflow engine
  2. grid
  3. resource management
  4. semantic workflow

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Cited By

View all
  • (2017)Software architectures to integrate workflow engines in science gatewaysFuture Generation Computer Systems10.1016/j.future.2017.01.00575(239-255)Online publication date: Oct-2017
  • (2015)NeuroManager: a workflow analysis based simulation management engine for computational neuroscienceFrontiers in Neuroinformatics10.3389/fninf.2015.000249Online publication date: 13-Oct-2015
  • (2013)Virtual AcceleratorProceedings of the 2013 13th International Conference on Computational Science and Its Applications10.1109/ICCSA.2013.33(166-169)Online publication date: 24-Jun-2013
  • (2013)ICOMFProceedings of the 2013 IEEE International Conference on Cloud Computing Technology and Science - Volume 0110.1109/CloudCom.2013.14(49-55)Online publication date: 2-Dec-2013
  • (2013)Interactive Workflow-based Infrastructure for Urgent ComputingProcedia Computer Science10.1016/j.procs.2013.05.39318(2223-2232)Online publication date: 2013
  • (2013)Exploring Workflow Interoperability for Neuroimage Analysis on the SHIWA PlatformJournal of Grid Computing10.1007/s10723-013-9262-711:3(505-522)Online publication date: 1-Sep-2013
  • (2012)Workflow as a serviceProceedings of the 3rd international workshop on Emerging computational methods for the life sciences10.1145/2483954.2483960(23-31)Online publication date: 18-Jun-2012
  • (2012)Support for Cooperative Experiments in e-Science: From Scientific Workflows to Knowledge SharingIdentification of Ligand Binding Site and Protein-Protein Interaction Area10.1007/978-94-007-5285-6_7(135-159)Online publication date: 26-Sep-2012
  • (2011)Provenance opportunities for WS-VLAMProceedings of the 6th workshop on Workflows in support of large-scale science10.1145/2110497.2110505(57-66)Online publication date: 14-Nov-2011
  • (2011)Prediction-based auto-scaling of scientific workflowsProceedings of the 9th International Workshop on Middleware for Grids, Clouds and e-Science10.1145/2089002.2089003(1-6)Online publication date: 12-Dec-2011
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