% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Daivandy:134402,
author = {Daivandy, Jason Milad and Hünich, Denis and Jäkel, René
and Metzger, Steffen and Müller-Pfefferkorn, Ralph and
Schuller, Bernd},
title = {{H}eterogeneous {R}esource {F}ederation with a
{C}entralized {S}ecurity {M}odel for {I}nformation
{E}xtraction},
journal = {Journal of internet services and applications},
volume = {4},
issn = {1869-0238},
address = {London},
publisher = {Springer},
reportid = {FZJ-2013-02601},
pages = {10},
year = {2013},
abstract = {With the continuous growth of data generated in various
scientific and commercial endeavors and the rising need for
interdisciplinary studies and applications in e-Science easy
exchange of information and computation resources capable of
processing large amounts of data to allow ad-hoc
co-operation becomes ever more important. Unfortunately
different communities often use incompatible resource
management systems. In this work we try to alleviate the
difficulties occurring on bridging the gap between different
research eco-systems by federating resources and thus
unifying resource access.To this end, our solution presented
in this paper outlines a secure, simple, yet highly
interoperable and flexible architecture using RESTful Web
services and WebDAV. While, first and foremost in the Grid
computing domain, there are already standards and solutions
in place addressing related problems, our solution differs
from those approaches by allowing to federate data storage
systems that are not aware of being federated. Access to
these is enabled by our federation layer using storage
system specific connectors. Hence, our federation approach
is intended as an abstraction layer on top of existing
storage or middleware solutions, allowing for a more uniform
access mechanism.Additionally, our solution also allows for
submission and management of computational jobs on said
data, thereby federating not only data but also
computational resources. Once resource access is unified,
information from different data formats can be semantically
unified by information extraction methods. It is our belief
that the work in this paper can complement existing Grid
computing efforts by facilitating access to data storage
system not inherently available via commonly used Grid
computing standards.},
cin = {JSC},
ddc = {004},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {412 - Grid Technologies and Infrastructures (POF2-412)},
pid = {G:(DE-HGF)POF2-412},
typ = {PUB:(DE-HGF)16},
doi = {10.1186/1869-0238-4-10},
url = {https://juser.fz-juelich.de/record/134402},
}