@Article{scheuermann:partition2,
  author = {Peter Scheuermann and Gerhard Weikum and Peter Zabback},
  title = {Data Partitioning and Load Balancing in Parallel Disk Systems},
  journal = {The VLDB Journal},
  year = {1998},
  month = {February},
  volume = {7},
  number = {1},
  pages = {48--66},
  earlier = {scheuermann:partition},
  URL =
  {http://link.springer.de/link/service/journals/00778/papers/8007001/80070048.ps.gz},
  keywords = {parallel I/O, disk array, disk striping, load balance,
  pario-bib},
  abstract = {Parallel disk systems provide opportunities for exploiting I/O
  parallelism in two possible ways, namely via inter-request and intra-request
  parallelism. In this paper, we discuss the main issues in performance tuning
  of such systems, namely striping and load balancing, and show their
  relationship to response time and throughput. We outline the main components
  of an intelligent, self-reliant file system that aims to optimize striping by
  taking into account the requirements of the applications, and performs load
  balancing by judicious file allocation and dynamic redistributions of the
  data when access patterns change. Our system uses simple but effective
  heuristics that incur only little overhead. We present performance
  experiments based on synthetic workloads and real-life traces.},
  comment = {Updated version of scheuermann:partition.}
}