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A Deadline and Budget Constrained Scheduling Algorithm for eScience Applications on Data Grids

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Distributed and Parallel Computing (ICA3PP 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3719))

Abstract

In this paper, we present an algorithm for scheduling of distributed data intensive Bag-of-Task applications on Data Grids that have costs associated with requesting, transferring and processing datasets. The algorithm takes into account the explosion of choices that result due to a job requiring multiple datasets from multiple data sources. The algorithm builds a resource set for a job that minimizes the cost or time depending on the user’s preferences and deadline and budget constraints. We evaluate the algorithm on a Data Grid testbed and present the results.

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Author information

Authors and Affiliations

  1. Grid Computing and Distributed Systems (GRIDS) Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, Australia

    Srikumar Venugopal & Rajkumar Buyya

Authors
  1. Srikumar Venugopal
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  2. Rajkumar Buyya
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Editor information

Editors and Affiliations

  1. School of Information Technology, Geelong, Deakin University, 3217, Vic, Australia

    Michael Hobbs

  2. School of Engineering and Information Technology, Deakin University, Pigdons Road, Geelong

    Andrzej M. Goscinski

  3. Deakin University, Melbourne, Australia

    Wanlei Zhou

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© 2005 Springer-Verlag Berlin Heidelberg

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Venugopal, S., Buyya, R. (2005). A Deadline and Budget Constrained Scheduling Algorithm for eScience Applications on Data Grids. In: Hobbs, M., Goscinski, A.M., Zhou, W. (eds) Distributed and Parallel Computing. ICA3PP 2005. Lecture Notes in Computer Science, vol 3719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11564621_7

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  • DOI: https://doi.org/10.1007/11564621_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29235-7

  • Online ISBN: 978-3-540-32071-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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