@InProceedings{baylor:workload,
  author = {Sandra Johnson Baylor and C. Eric Wu},
  title = {Parallel {I/O} Workload Characteristics Using {Vesta}},
  booktitle = {Proceedings of the IPPS~'95 Workshop on Input/Output in Parallel
  and Distributed Systems},
  year = {1995},
  month = {April},
  pages = {16--29},
  later = {baylor:workload-book},
  keywords = {parallel I/O, workload characterization, pario-bib},
  abstract = {In recent years, the design and performance evaluation of
  parallel processors has focused on the processor, memory and communication
  subsystems. As a result, these subsystems have better performance potential
  than the I/O subsystem. In fact, the I/O subsystem is the bottleneck in many
  machines. However, there are a number of studies currently underway to
  improve the design of parallel I/O subsystems. To develop optimal parallel
  I/O subsystem designs, one must have a thorough understanding of the workload
  characteristics of parallel I/O and its exploitation of the associated
  parallel file system. Presented are the results of a study conducted to
  analyze the parallel I/O workloads of several applications on a parallel
  processor using the Vesta parallel file system. Traces of the applications
  are obtained to collect system events, communication events, and parallel I/O
  events. The traces are then analyzed to determine workload characteristics.
  The results show I/O request rates on the order of hundreds of requests per
  second, a large majority of requests are for small amount of data (less than
  1500 bytes), a few requests are for large amounts of data (on the order of
  megabytes), significant file sharing among processes within a job, and strong
  temporal, traditional spatial, and interprocess spatial locality.},
  comment = {See polished version baylor:workload-book. They characterize four
  parallel applications: sort, matrix multiply, seismic migration, and video
  server, in terms of their I/O activity. They found results that are
  consistent with kotz:workload, in that they also found lots of small data
  requests, some large data requests, significant file sharing and interprocess
  locality. This study found less of the non-contiguous access than did
  kotz:workload, because of the logical views provided by Vesta. Note on-line
  postscript does not include figures.}
}