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Science Gateways for Distributed Computing Infrastructures

Development Framework and Exploitation by Scientific User Communities

  • Book
  • © 2014

Overview

  • Shows users how to build customized, domain-specific science gateways
  • Authors drawn from diverse fields, including biology, chemistry, and astrophysics
  • Useful for computational scientists engaged in the design of distributed data management infrastructures
  • Includes supplementary material: sn.pub/extras

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Table of contents (19 chapters)

  1. WS-PGRADE/gUSE Science Gateway Framework

  2. Domain-Specific Science Gateways Customized from the WS-PGRADE/gUSE Framework

  3. Further Applications of WS-PGRADE/gUSE

Keywords

About this book

The book describes the science gateway building technology developed in the SCI-BUS European project and its adoption and customization method, by which user communities, such as biologists, chemists, and astrophysicists, can build customized, domain-specific science gateways. Many aspects of the core technology are explained in detail, including its workflow capability, job submission mechanism to various grids and clouds, and its data transfer mechanisms among several distributed infrastructures.

The book will be useful for scientific researchers and IT professionals engaged in the development of science gateways.

Editors and Affiliations

  • Lab. of Parallel & Distributed Systems, Hungarian Academy of Sciences (MTA), Budapest, Hungary

    Péter Kacsuk

About the editor

Prof. Dr. Péter Kacsuk received his Kandidat (Ph.D.) degree from the Hungarian Academy in 1989. He habilitated at the University of Vienna in 1997, he received his professor title from the Hungarian President in 1999 and the Doctor of Academy degree (D.Sc.) from the Hungarian Academy of Sciences in 2001. He is currently the Head of the Laboratory of Parallel and Distributed Systems (LPDS) in the Institute for Computer Science and Control (SZTAKI) of the Hungarian Academy of Sciences (MTA) in Budapest. His research interests include parallel and distributed systems and programming environments; cluster computing; and grid computing. He is the Editor-in-Chief of the Journal of Grid Computing.

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