Authors:
Maria Spichkova
1
;
Heinz W. Schmidt
1
;
Ian E. Thomas
1
;
Iman I. Yusuf
1
;
Steve Androulakis
2
and
Grischa R. Meyer
2
Affiliations:
1
RMIT University, Australia
;
2
Monash University, Australia
Keyword(s):
Usability, Reliability, Cloud Computing, Modelling, Visualisation.
Related
Ontology
Subjects/Areas/Topics:
Formal Methods
;
Simulation and Modeling
;
Software Engineering
;
Software Engineering Methods and Techniques
Abstract:
Cloud computing provides a great opportunity for scientists, as it enables large-scale experiments that cannot
are too long to run on local desktop machines. Cloud-based computations can be highly parallel, long running
and data-intensive, which is desirable for many kinds of scientific experiments. However, to unlock this
power, we need a user-friendly interface and an easy-to-use methodology for conducting these experiments.
For this reason, we introduce here a formal model of a cloud-based platform and the corresponding opensource
implementation. The proposed solution allows to conduct experiments without having a deep technical
understanding of cloud-computing, HPC, fault tolerance, or data management in order to leverage the benefits
of cloud computing. In the current version, we have focused on biophysics and structural chemistry experiments,
based on the analysis of big data from synchrotrons and atomic force microscopy. The domain experts
noted the time savings for c
omputing and data management, as well as user-friendly interface.
(More)