Design and Applications of an Interoperability Reference Model for Production e-Science Infrastructures
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Beschreibung
Computational 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.
This publication was edited at the Jülich Supercomputing Centre (JSC) which is an integral part
of the Institute for Advanced Simulation (IAS). The IAS combines the Jülich simulation sciences
and the supercomputer facility in one organizational unit. It includes those parts of the scientific
institutes at Forschungszentrum Jülich which use simulation on supercomputers as their main
research methodology
Autor*in
Morris Riedel
Themen in »Design and Applications of an Interoperability Reference Model for Production e-Science Infrastructures«
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