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Titlebook: Web Engineering; 13th International C Florian Daniel,Peter Dolog,Qing Li Conference proceedings 2013 Springer-Verlag Berlin Heidelberg 2013

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Dennis Westermann,Jens Happe,Petr Zdrahal,Martin Moser,Ralf Reussnerand decrease the cost of development, deployment, execution and maintenance for an application. We provide that ADViCE optimize the application execution at runtime adaptively optimize based on application requirements in both non-Grid and Grid environment with optimal execution options. We have imp
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Jan Borchersted several times and the use of grid infrastructures makes feasible to approach this problem in an acceptable time frame. Here we describe the set up of a simulation environment within the EUChinaGRID[1] infrastructure that allows non expert users to exploit grid resources for large-scale proteins
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Juan José Jara Laconich,Fabio Casati,Maurizio Marchesey, we show that the three policies lead to very different capabilities for running the typical grid workloads efficiently. We introduce a new resource availability predictor based on Bayesian inference. Last but not least, using GriS-Prophet’s prediction tools we achieve an accuracy of more than 90%
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rlying computer system, such as operating systems and high performance computing applications, were bypassed with the creation of an application layer of bioinformatics tools (BioGrappler) or by accessing the compute resources by the Grid Engine Portal (BioBox).
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