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001     137743
005     20210129212104.0
024 7 _ |a 10.1109/ICPP.2013.92
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024 7 _ |a WOS:000330046000083
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037 _ _ |a FZJ-2013-04069
100 1 _ |a Holl, Sonja
|0 P:(DE-Juel1)132139
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111 2 _ |a Ninth International Workshop on Scheduling and Resource Management for Parallel and Distributed Systems
|w France
|c Lyon
|d 2013-10-01 - 2013-10-01
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245 _ _ |a Enhanced Resource Management enabling Standard Parameter Sweep Jobs for Scientific Applications
260 _ _ |c 2013
|b IEEE
295 1 0 |a International Conference on Parallel Processing - The 42nd Annual Conference ICPP 2013
300 _ _ |a 783 - 790
336 7 _ |a Contribution to a conference proceedings
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336 7 _ |a Contribution to a book
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336 7 _ |a Conference Paper
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520 _ _ |a Parameter sweeps are used by researchers with scientific domain-specific tools or workflows to submit a large collection of computational jobs whereby each single job of it only varies in certain parts. They require a more fine-grained distribution of jobs across resources, which also raise a significant challenge for efficient resource management in middleware environments that have been not specifically designed to perform parameter sweeps. This paper offers insights into parameter sweep solutions that support multi-disciplinary science environments via abstraction from resource management complexities using middleware. The solutions are based on use case requirements, enable efficient submission, enhanced usability, and standard compliance. We also apply a use case taken from the life science domain to demonstrate usefulness and efficiency of the solutions.
536 _ _ |a 412 - Grid Technologies and Infrastructures (POF2-412)
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700 1 _ |a Memon, Mohammad Shahbaz
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700 1 _ |a Schuller, Bernd
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700 1 _ |a Riedel, Morris
|0 P:(DE-Juel1)132239
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700 1 _ |a Mohammed, Yassene
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700 1 _ |a Palmblad, Magnus
|0 P:(DE-HGF)0
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700 1 _ |a Grimshaw, Andrew
|0 P:(DE-HGF)0
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773 _ _ |a 10.1109/ICPP.2013.92
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913 2 _ |a DE-HGF
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914 1 _ |y 2013
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