Abstract
Computational neuroscientists face challenges to manage ever-increasing large volume of data and to process them with applications that require great computational power. The Brain Imaging Centre of the Academic Medical Centre of the University of Amsterdam is a community of neuroscientists who are involved in various computational neuroscience research studies. They face various challenges to process and manage a growing amount of neuroimaging data. The goal of the computational neuroscience gateway is to facilitate large-scale data processing on distributed infrastructures and to enhance data management and collaboration for scientific research. The gateway is based on the WS-PGRADE/gUSE generic science gateway framework as platform for distributed computing, and it is connected to a data server based on the eXtensible Neuroimaging Archive Toolkit (XNAT). This chapter presents the design and architecture of the gateway with focus on the utilization of the WS-PGRADE/gUSE framework, and the lessons learned during its implementation and operation.
This chapter is updated and adapted based on Shahand (2014).
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© 2014 Springer International Publishing Switzerland
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Shahand, S. et al. (2014). Computational Neuroscience Gateway: A Science Gateway Based on the WS-PGRADE/gUSE. In: Kacsuk, P. (eds) Science Gateways for Distributed Computing Infrastructures. Springer, Cham. https://doi.org/10.1007/978-3-319-11268-8_10
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DOI: https://doi.org/10.1007/978-3-319-11268-8_10
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11267-1
Online ISBN: 978-3-319-11268-8
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