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Easy Development and Integration of Science Gateways with Vine Toolkit

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eScience on Distributed Computing Infrastructure

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8500))

Abstract

Science Gateway is a set of tools for scientists to facilitate access to their computational resources in a comprehensive, efficient and easy manner. The most common instance of Science Gateway comes in the form of a web portal. It provides space for communities, collaboration, data sharing and visualization along with the possibility of defining, running and managing computational tasks. The main objective of such a portal is to allow users to access the computational resources, to process and analyze their data and to obtain results in a uniform and user friendly way. In this publication we briefly describe solutions for Nanomechanics, Quantum Chemistry and Molecular Physics fields with the use of Vine Toolkit and QosCosGrid tools and different domain-specific applications.

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Authors and Affiliations

  1. Poznan Supercomputing and Networking Center, Poznań, Poland

    Krzysztof Kurowski, Piotr Dziubecki, Piotr Grabowski, Michał Krysiński, Tomasz Piontek & Dawid Szejnfeld

Authors
  1. Krzysztof Kurowski
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  2. Piotr Dziubecki
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  3. Piotr Grabowski
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  4. Michał Krysiński
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  5. Tomasz Piontek
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  6. Dawid Szejnfeld
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Editors and Affiliations

  1. Department of Computer Science and ACC Cyfronet AGH, AGH University of Science and Technology, Kraków, Poland

    Marian Bubak

  2. Department of Computer Science, and ACC Cyfronet AGH, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Jacek Kitowski

  3. Department of Electronics and ACC Cyfronet AGH, AGH University of Science and Technology, Kraków, Poland

    Kazimierz Wiatr

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Kurowski, K., Dziubecki, P., Grabowski, P., Krysiński, M., Piontek, T., Szejnfeld, D. (2014). Easy Development and Integration of Science Gateways with Vine Toolkit. In: Bubak, M., Kitowski, J., Wiatr, K. (eds) eScience on Distributed Computing Infrastructure. Lecture Notes in Computer Science, vol 8500. Springer, Cham. https://doi.org/10.1007/978-3-319-10894-0_11

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  • DOI: https://doi.org/10.1007/978-3-319-10894-0_11

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