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A joint data and computation scheduling algorithm for the grid

Published: 28 August 2007 Publication History

Abstract

In this paper a new scheduling algorithm for the Grid is introduced. The new algorithm (JDCS) combines data transfer and computation scheduling by a back-trace technique to reduce remote data preloading delay, and is aware of resource performance fluctuation in the Grid. Experiments show the effectiveness and adaptability of this new approach in the Grid environment.

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Aggarwal, K., Kent, R. D.: An Adaptive Generalized Scheduler for Grid Applications. In: The 19th HPCS (2005)
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Topcuoglu, H., Hariri, S., Wu, M.Y.: Performance-Effective and Low-Complexity Task Scheduling for Heterogeneous Computing. IEEE Trans. on Parallel and Distributed Systems 13(3), 260-274 (2002)
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Dong, F., Akl, S.: PFAS: A Resource Performance Fluctuation Aware Workflow Scheduling Algorithm for Grid Computing. In: The 16th HCW Workshop (2007)

Cited By

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  • (2008)Investigation of the DAG eligible jobs maximization algorithm in a gridProceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing10.1109/GRID.2008.4662819(340-345)Online publication date: 29-Sep-2008

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Published In

cover image Guide Proceedings
Euro-Par'07: Proceedings of the 13th international Euro-Par conference on Parallel Processing
August 2007
969 pages
ISBN:3540744657
  • Editors:
  • Anne-Marie Kermarrec,
  • Luc Bougé,
  • Thierry Priol

Sponsors

  • INRIA/IRISA: INRIA/IRISA
  • University of Rennes 1: University of Rennes 1
  • Rennes Métropole
  • Métivier Foundation
  • Pôle de competitivité Images & Réseaux

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 28 August 2007

Author Tags

  1. algorithm
  2. data
  3. grid computing
  4. scheduling
  5. workflow

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  • (2008)Investigation of the DAG eligible jobs maximization algorithm in a gridProceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing10.1109/GRID.2008.4662819(340-345)Online publication date: 29-Sep-2008

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