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Lessons learned implementing a science gateway for hydro‐meteorological research
Author(s) -
D'Agostino Daniele,
Danovaro Emanuele,
Clematis Andrea,
Roverelli Luca,
Zereik Gabriele,
Parodi Antonio,
Galizia Antonella
Publication year - 2016
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3700
Subject(s) - gateway (web page) , cloud computing , computer science , workflow , cyberinfrastructure , grid computing , grid , software , e science , software engineering , distributed computing , supercomputer , multidisciplinary approach , hydrometeorology , open science , set (abstract data type) , data science , world wide web , database , operating system , precipitation , social science , physics , geometry , mathematics , sociology , meteorology , programming language , astronomy
Summary A full hydrometeorological (HM) simulation, from rainfall to impact on urban areas, is a multidisciplinary job, which relies on the execution of a workflow composed of complex and heterogeneous model engines. Moreover, the accuracy of the simulation is strongly dependent on an extensive set of configuration parameters, which have to be selected in a consistent way among the models. Within the Distributed Research Infrastructure for Hydro‐Meteorology project, a Web‐based science gateway was developed with the aim to support HM researchers in designing, executing, and managing HM experiments. The core of this science gateway is the portal, which takes care of generating all the configuration files and handles the execution of simulation steps on a heterogeneous computing infrastructure composed of high‐performance computing, Grid resources, and Cloud resources. This paper presents technological insights about the implementation of the portal, with an analysis of the adopted technologies and infrastructures. Our experience highlights the need of coherent policies in the management of data, computational resources, and software components that represent the ecosystem to develop science gateways. Copyright © 2015 John Wiley & Sons, Ltd.