Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Managing Usability and Reliability Aspects in Cloud Computing   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
open-source 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
computing and data management, as well as user-friendly interface.

37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga