Fast Access to Remote Objects 2.0 A renewed gateway to ENEAGRID distributed computing resources
- Published
- Accepted
- Subject Areas
- Human-Computer Interaction, Computer Networks and Communications, Distributed and Parallel Computing, World Wide Web and Web Science
- Keywords
- graphical user interface, virtual labs, remote desktop, distributed computing, science gateway
- Copyright
- © 2017 Mariano et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. Fast Access to Remote Objects 2.0 A renewed gateway to ENEAGRID distributed computing resources. PeerJ Preprints 5:e2537v1 https://doi.org/10.7287/peerj.preprints.2537v1
Abstract
This paper introduces a renewed gateway to ENEAGRID distributed computing resources, named Fast Access to Remote Objects 2.0 (FARO 2.0). FARO 2.0 is a tool for application and desktop virtualization with a strong focus towards user experience (UX), providing trained as well as untrained users a collection of centralized services that can be seamlessly used on their client through a remote desktop protocol. FARO 2.0 is a JavaFX application whose graphical user interface (GUI) and whose main logics has been implemented through the well- known Web technologies (HTML5, CSS3, Javascript) for a easier maintainability and customizability, taking full advantage of the WebView component. Its framework has been deployed both as general purpose GUI for remote user access to ENEAGRID resources and as specialized application or workflow oriented GUI. They are applied in a set of applicative domains, ranging from material science to technologies for energy and industry, environmental modeling and nuclear fusion. Some examples and results are also presented.
Author Comment
This is a submission to PeerJ Computer Science for review.
Supplemental Information
Source code
raw data including source code of Faro 2.0