@Article{perez:gridexpand,
  author = {Jos\'{e} M. P\'{e}rez and F\'{e}lix Garcia and Jes\'{u}s Carretero
  and Alejandro Calder\'{o}n and Javier Fern\'{a}ndez},
  title = {A Parallel {I/O} Middleware to Integrate Heterogeneous Storage
  Resources on Grids},
  journal = {Lecture Notes in Computer Science},
  booktitle = {1st European Across Grids Conference; February 13-14, 2003;
  Santiago de Compostela, SPAIN},
  editor = {Rivera, FF; Bubak, M; Tato, AG; Doallo, R},
  year = {2004},
  month = {March},
  volume = {2970},
  pages = {124--131},
  institution = {Univ Carlos III Madrid, Comp Architecture Grp, Dept Comp Sci,
  Madrid, Spain},
  publisher = {Springer-Verlag},
  copyright = {(c)2004 Institute for Scientific Information, Inc.},
  URL = {http://grid.cesga.es/eabstracts/xpn-data-grid.pdf},
  keywords = {Data Grids, Parallel I/O, data declustering, High performance
  I/O, pario-bib},
  abstract = {The philosophy behind grid is to use idle resources to achieve a
  higher level of computational services (computation, storage, etc). Existing
  data grids solutions are based in new servers, specific APIs and protocols,
  however this approach is not a realistic solution for enterprises and
  universities, because this supposes the deployment of new data servers across
  the company. This paper describes a new approach to data access in
  computational grids. This approach is called GridExpand, a parallel I/O
  middleware that integrates heterogeneous data storage resources in grids. The
  proposed grid solution integrates available data network solutions (NFS,
  CIFS, WebDAV) and makes possible the access to a global grid file system. Our
  solution differs from others because it does not need the installation of new
  data servers with new protocols. Most of the data grid solutions use
  replication as the way to obtain high performance. Replication, however,
  introduce consistency problem for many collaborative applications, and
  sometimes requires the usage of lots of resources. To obtain high
  performance, we apply the parallel I/O techniques used in parallel file
  systems.},
  comment = {A short paper describing an adaptation of the Expand parallel file
  system for data grids. Also see the related paper garcia:expand-design.}
}