@InProceedings{perez:allocation,
  author = {Jose Maria Perez and Felix Garcia and Jesus Carretero and Alejandro
  Calderon and Luis Miguel Sanchez},
  title = {Data Allocation and Load Balancing for Heterogeneous Cluster Storage
  Systems},
  booktitle = {Workshop on Parallel I/O in Cluster Computing and Computational
  Grids},
  year = {2003},
  month = {May},
  pages = {718--723},
  publisher = {IEEE Computer Society Press},
  address = {Tokyo},
  note = {Organized at the IEEE/ACM International Symposium on Cluster
  Computing and the Grid 2003},
  URL =
  {http://csdl.computer.org/comp/proceedings/ccgrid/2003/1919/00/19190718abs.htm},
  keywords = {parallel I/O, load balancing, pario-bib},
  abstract = {Distributed filesystems are a typical solution in networked
  environments as clusters and grids. Parallel filesystems are a typical
  solution in order to reach high performance I/O distributed environment, but
  those filesystems have some limitations in heterogeneous storage systems.
  Usually in distributed systems, load balancing is used as a solution to
  improve the performance, but typically the distribution is made between
  peer-to-peer computational resources and from the processor point of view. In
  heterogeneous systems, like heterogeneous clusters of workstations, the
  existing solutions do not work so well. However, the utilization of those
  systems is more extended every day, having an extreme example in the grid
  environment. In this paper we bring attention to those aspects of
  heterogeneous distributed data systems presenting a parallel file system that
  take into account heterogeneity of storage nodes, the dynamic addition of new
  storage nodes, and an algorithm to group requests in heterogeneous systems.}
}