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000134558 0247_ $$2ISSN$$a1868-8489
000134558 020__ $$a978-3-89336-861-7
000134558 037__ $$aFZJ-2013-02691
000134558 041__ $$aEnglish
000134558 1001_ $$0P:(DE-Juel1)132239$$aRiedel, Morris$$b0$$eCorresponding author$$gmale$$ufzj
000134558 245__ $$aDesign and Applications of an Interoperability Reference Model for Production e-Science Infrastructures$$f2012-11-09
000134558 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2013
000134558 300__ $$a271 S.
000134558 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd$$s134558
000134558 3367_ $$02$$2EndNote$$aThesis
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000134558 3367_ $$2BibTeX$$aPHDTHESIS
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000134558 4900_ $$0PERI:(DE-600)2525100-4$$aSchriften des Forschungszentrums Jülich. IAS Series$$v16
000134558 502__ $$aKarlsruher Institut für Technologie (KIT), Diss., 2012$$bDr.$$cKarlsruher Institut für Technologie (KIT)$$d2012
000134558 520__ $$aComputational simulations and thus scientific computing is the third pillar alongside theory and experiment in todays science. The term e-Science evolved as a new research field that focuses on collaboration in key areas of science using next generation data and computing infrastructures (i.e. e-Science infrastructures) to extend the potential of scientific computing. During the past decade, significant international and broader interdisciplinary research is increasingly carried out by global collaborations that often share resources within a single production e-Science infrastructure. More recently, increasing complexity of e-Science applications that embrace multiple physical models (i.e. multi-physics) and consider a larger range of scales (i.e. multi-scale) is creating a steadily growing demand for world-wide interoperable infrastructures that allow for new innovative types of e-Science by jointly using different kinds of e-Science infrastructures. But interoperable e-Science infrastructures are still not seamlessly provided today and this thesis argues that this is due to the absence of a production-oriented e-Science infrastructure reference model. The goal of this thesis is thus to present an infrastructure interoperability    reference model (IIRM) design tailored to production needs and that represents a    trimmed down version of the Open Grid Service Architecture (OGSA) in terms of functionality and    complexity, while on the other hand being more specifically useful for production and thus easier    to implement. This reference model is underpinned with lessons learned and numerous experiences    gained from production e-Science application needs through accompanying academic case    studies of the bio-informatics, e-Health, and fusion domain that all seek to achieve research    advances by using interoperable e-Science infrastructures on a daily basis. Complementary to    this model, a seven segment-based process towards sustained infrastructure interoperability    addresses important related issues like harmonized operations, cooperation, standardization as    well as common policies and joint development roadmaps.
000134558 536__ $$0G:(DE-HGF)POF2-412$$a412 - Grid Technologies and Infrastructures (POF2-412)$$cPOF2-412$$fPOF II$$x0
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000134558 9132_ $$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$$x0
000134558 9131_ $$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
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