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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Genetic-Based
Solutions For Independent Batch Scheduling In Data Grids |
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Authors: |
Joanna Kolodziej,
Magdalena Szmajduch, Samee
U. Khan , Lizhe Wang, Dan Chen |
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Published in:
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(2013).ECMS 2013 Proceedings edited
by: W. Rekdalsbakken, R. T. Bye, H. Zhang European Council for Modeling
and Simulation. doi:10.7148/2013 ISBN:
978-0-9564944-6-7 27th
European Conference on Modelling and Simulation, Aalesund, Norway, May 27th –
30th, 2013 |
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Citation
format: |
Joanna
Kolodziej, Magdalena Szmajduch,
Samee U. Khan, Lizhe Wang, Dan Chen (2013). Genetic-Based Solutions For
Independent Batch Scheduling In Data Grids,
ECMS 2013 Proceedings edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang, European Council for Modeling
and Simulation. doi:10.7148/2013-0504 |
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DOI: |
http://dx.doi.org/10.7148/2013-0504 |
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Abstract: |
Scheduling in traditional distributed systems has been mainly
studied for system performance parameters without data transmission
requirements. With the emergence of Data Grids (DGs)
and Data Centers, data-aware scheduling has become a major research issue. In
this work we present two implementations of classical genetic-based
data-aware schedulers of independent tasks submitted to the grid environment.
The results of a simple empirical analysis confirm the high effectiveness of
the genetic algorithms in solving very complex data intensive combinatorial
optimization problems. |
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