arrow
Return

Cloud computing infrastructure for the VPH community

delete2018-01-01
delete11
PRE
AI
P
Piotr Nowakowski *
M
Marian Bubak
T
Tomasz Bartyński
T
Tomasz Gubała
D
Daniel Harężlak
M
Marek Kasztelnik
M
M. Malawski
J
Jan Meizner
DOI:10.1016/j.jocs.2017.06.012delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
As virtualization technologies mature and become ever more widespread, cloud computing has emerged as a promising paradigm for e-science. In order to facilitate successful application of cloud computing in scientific research- particularly in a domain as security-minded as medical research- several technical challenges need to be addressed. This paper reports on the successful deployment and utilization of a cloud computing platform for the Virtual Physiological Human (VPH) research community, originating in the VPH-Share project and continuing beyond the end of this project. The platform tackles technical issues involved in porting existing desktop applications to the cloud environment and constitutes a uniform research space where application services can be developed, stored, accessed and shared using a variety of computational infrastructures. The paper also presents examples of application workflows which make use of the presented infrastructure- both internal and external to the VPH community. (C) 2017 Elsevier B.V. All rights reserved.
Keywords:
Cloud computing
Distributed scientific infrastructures
e-Science
Virtualization
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Nature Computational Science cover
Nature Computational Science
IF:
18.3
Papers:
3.1K
Citations:
4.0K

Organization

A
AGH University of Krakow
Scholars:
9.2K
Papers: 9.4K
Citations: 1.2W