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W. Gentzsch, "Grid and Cloud Portals for Design, Simulation, and Collaboration", in B.H.V. Topping, P. Iványi, (Editors), "Parallel, Distributed and Grid Computing for Engineering", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 5, pp 83-102, 2009. doi:10.4203/csets.21.5

Keywords: grid computing, cloud computing, grid portals, design, simulation, collaboration, virtual experiments.

Summary

This chapter discusses grid and cloud portal functionalities, architecture, service execution, security, and plug-ins for integrating tools and applications, and some typical deployments. We will illustrate the integration of a portal framework with data grid capabilities of the storage resource broker, making use of the capabilities of sharing and managing data and metadata in a heterogeneous and distributed environment. We will demonstrate how a grid portal and services can be built to provide shared, standardized and reliable tools for managing and analyzing distributed and heterogeneous biomedical data in order to maximize the results of virtual experiments.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Computational Science, Engineering & Technology Series ISSN 1759-3158 CSETS: 21 PARALLEL, DISTRIBUTED AND GRID COMPUTING FOR ENGINEERING Edited by: B.H.V. Topping, P. Iványi Chapter 5 Grid and Cloud Portals for Design, Simulation, and Collaboration W. Gentzsch Independent Consultant, EU Projects and Open Grid Forum, Regensburg, Germany doi:10.4203/csets.21.5 purchase the full-text of this chapter Full Bibliographic Reference for this chapter W. Gentzsch, "Grid and Cloud Portals for Design, Simulation, and Collaboration", in B.H.V. Topping, P. Iványi, (Editors), "Parallel, Distributed and Grid Computing for Engineering", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 5, pp 83-102, 2009. doi:10.4203/csets.21.5 Keywords: grid computing, cloud computing, grid portals, design, simulation, collaboration, virtual experiments. Summary This chapter discusses grid and cloud portal functionalities, architecture, service execution, security, and plug-ins for integrating tools and applications, and some typical deployments. We will illustrate the integration of a portal framework with data grid capabilities of the storage resource broker, making use of the capabilities of sharing and managing data and metadata in a heterogeneous and distributed environment. We will demonstrate how a grid portal and services can be built to provide shared, standardized and reliable tools for managing and analyzing distributed and heterogeneous biomedical data in order to maximize the results of virtual experiments. purchase the full-text of this chapter (price £20) go to the previous chapter go to the next chapter return to the table of contents return to the book description purchase this book (price £98 +P&P)
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