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Granular security for a science gateway in structural bioinformatics

Gesing, Sandra and Grunzke, Richard and Balasko, Akos and Birkenheuer, Georg and Blunk, Dirk and Breuers, Sebastian and Brinkmann, Andre and Fels, Gregor and Herres-Pawlis, Sonja and Kacsuk, Peter K. and Kozlovszky, Miklos and Kruger, Jens and Packschies, Lars and Schafer, Patrick and Schuller, Bernd and Schuster, Johannes and Steinke, Thomas and Szikszay Fabri, Anna and Wewior, Martin and Muller-Pfefferkorn, Ralph and Kohlbacher, Oliver (2011) Granular security for a science gateway in structural bioinformatics. In: Terstyanszky, Gabor and Kiss, Tamas, (eds.) IWSG-Life 2011 science gateways for life sciences. Proceedings of the 3rd international workshop on science gateways for life sciences London, United Kingdom, June 8-10, 2011. University of Westminster.

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Official URL: http://ceur-ws.org/Vol-819/


Structural Bioinformatics is concerned with computational methods for the analysis and modeling of three-dimensional molecular structures. There is a plethora of computational tools available to work with structural data on a large scale. Using these tools on distributed computing infrastructures (DCI), however, is often hampered by a lack of suitable interfaces. The MoSGrid (Molecular Simulation Grid) science gateway provides an intuitive user interface to several widelyused tools in structural bioinformatics. It ensures the confidentiality, integrity and availability of data via a granular security concept which covers all layers of the infrastructure. The concept applies SAML (Security Assertion Markup Language) and allows trust delegation from the user interface layer across the high-level middleware layer and the grid middleware layer down to the HPC facilities. SAML assertions had to be integrated into the MoSGrid infrastructure in several places: the workflow-enabled grid portal WS-PGRADE, the gUSE (grid User Support Environment) DCI services, and the cloud file system XtreemFS. The security infrastructure presented here allows single sign-on and thus lowers the hurdle for users to utilize large HPC infrastructures for structural bioinformatics.

Item Type:Book Section
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:11053
Deposited On:06 Aug 2012 16:15
Last Modified:06 Aug 2012 16:15

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