000137741 001__ 137741
000137741 005__ 20210129212103.0
000137741 0247_ $$2doi$$a10.1145/2484762.2484820
000137741 020__ $$a978-1-4503-2170-9
000137741 037__ $$aFZJ-2013-04068
000137741 1001_ $$0P:(DE-Juel1)132190$$aMemon, Mohammad Shahbaz$$b0$$eCorresponding author$$ufzj
000137741 1112_ $$0Conf-20130722_San_Diego_California$$aConference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery$$cSan Diego, California$$d22-07-2013 - 25-07-2013$$gXSEDE'13$$pProceedings of the Conference on Extreme Science and Engineering Discovery Environment Gateway to Discovery - XSEDE '13$$wUSA
000137741 245__ $$aEnhancing the performance of scientific workflow execution in e-science environments by harnessing the standards based parameter sweep model
000137741 260__ $$aNew York, USA$$bACM Press$$c2013
000137741 29510 $$aProceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
000137741 300__ $$a56:1 - 56:7
000137741 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1378708467_1314
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000137741 3367_ $$2BibTeX$$aINPROCEEDINGS
000137741 4900_ $$aXSEDE13$$v56
000137741 520__ $$aCertain scientific use cases possess complex requirements to have Grid jobs executed in collections where the jobs' request contains only some variation in different parts. These scenarios can easily be tackled by a single job request which abstract this variation and can represent the same collection. The Open Grid Forum (OGF) standards community modeled this requirement through the Job Submission and Description Language (JSDL) Parameter Sweep specification, which takes a modular approach to handle different variations of parameter sweeps (e.g. document and file sweep). In this paper we present the UNICORE server environment implementing this specification build upon its existing JSDL implementation. We also demonstrate the application of UNICORE's parameter sweep extension for optimizing job executions, which are submitted as a sub-activity of a Taverna based scientific workflow. Further we validate our approach by analyzing performance of the workflow with and without using the parameter sweep extension.
000137741 536__ $$0G:(DE-HGF)POF2-412$$a412 - Grid Technologies and Infrastructures (POF2-412)$$cPOF2-412$$fPOF II$$x0
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000137741 7001_ $$0P:(DE-Juel1)132139$$aHoll, Sonja$$b1$$ufzj
000137741 7001_ $$0P:(DE-Juel1)132239$$aRiedel, Morris$$b2
000137741 7001_ $$0P:(DE-Juel1)132261$$aSchuller, Bernd$$b3$$ufzj
000137741 7001_ $$0P:(DE-HGF)0$$aGrimshaw, Andrew$$b4
000137741 773__ $$a10.1145/2484762.2484820
000137741 909CO $$ooai:juser.fz-juelich.de:137741$$pVDB
000137741 9141_ $$y2013
000137741 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132190$$aForschungszentrum Jülich GmbH$$b0$$kFZJ
000137741 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132139$$aForschungszentrum Jülich GmbH$$b1$$kFZJ
000137741 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132239$$aForschungszentrum Jülich GmbH$$b2$$kFZJ
000137741 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)132239$$a University of Iceland, Reykjavik, Iceland$$b2
000137741 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132261$$aForschungszentrum Jülich GmbH$$b3$$kFZJ
000137741 9132_ $$0G:(DE-HGF)POF3-512$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data $$vData-Intensive Science and Federated Computing$$x0
000137741 9131_ $$0G:(DE-HGF)POF2-412$$1G:(DE-HGF)POF2-410$$2G:(DE-HGF)POF2-400$$3G:(DE-HGF)POF2$$4G:(DE-HGF)POF$$aDE-HGF$$bSchlüsseltechnologien$$lSupercomputing$$vGrid Technologies and Infrastructures$$x0
000137741 920__ $$lyes
000137741 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
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