Paper Info
Title
IMP Science Gateway: from the Portal to the Hub of Virtual Experimental Labs in e‐Science and Multiscale Courses in e‐Learning
Abstract
Science gateway' (SG) ideology means a user-friendly intuitive interface between scientists (or scientific communities) and different software components + various distributed computing infrastructures (DCIs), where researchers can focus on their scientific goals and less on the peculiarities of software/DCI. G.V.Kurdyumov Institute for Metal Physics IMP Science Gateway Portal' () is presented for complex workflow management and integration of distributed computing resources (like clusters, service grids, desktop grids, and clouds). It is created on the basis of Web Service - Parallel Grid Run-time and Application Development Environment (WS-PGRADE) and gUSE (grid and cloud User Support Environment) technologies, where WS-PGRADE is designed for science workflow operation and gUSE for smooth integration of available resources for parallel and distributed computing in various heterogeneous DCIs. Some use cases (scientific workflows) are considered for molecular dynamics simulations of complex behavior of various nanostructures. The modular approach allows scientists to use SG portals as research hubs of various virtual experimental labs in the context of practical applications in material science, physics, and nanotechnologies. In addition, workflows and their components are proposed to be used as Lego-style construction units for learning modules of various scale by duration, complexity, targeted audience, and so on. These workflows can be used also in e-Learning infrastructures as constituent elements of learning hubs for the management of learning content, tools, resources, and users in the regular, vocational, lifelong, and informal learning. Copyright (c) 2015John Wiley & Sons, Ltd.
Year
DOI
Venue
2015
10.1002/cpe.3533
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Keywords
Field
DocType
distributed computing,science gateway,e-Science,e-Learning,lifelong learning,ubiquitous learning,grid computing,cluster,service grid,desktop grid,physics,materials science,nanotechnologies
Informal learning,World Wide Web,Grid computing,Computer science,e-Science,Component-based software engineering,Web service,Workflow,Grid,Distributed computing,Cloud computing
Journal
Volume
Issue
ISSN
27
SP16
1532-0626
Citations 
PageRank 
References 
4
0.63
14
Authors
6
Name
Order
Citations
PageRank
Yuri G. Gordienko1508.93
Lev Bekenov2101.65
Olexandra Baskova340.63
Olexander Gatsenko4152.29
Elena Zasimchuk591.23
Sergii Stirenko65314.13