@InProceedings{spencer:pipeline,
  author = {M. Spencer and R. Ferreira and M. Beynon and T. Kurc and U.
  Catalyurek and A. Sussman and J. Saltz},
  title = {Executing multiple pipelined data analysis operations in the Grid},
  booktitle = {Proceedings of SC2002: High Performance Networking and
  Computing},
  year = {2002},
  month = {November},
  address = {Baltimore, Maryland},
  URL = {http://citeseer.nj.nec.com/spencer02executing.html},
  keywords = {DataCutter, pipeline, dataflow, pario-bib},
  abstract = {Processing of data in many data analysis applications can be
  represented as an acyclic, coarse grain data flow, from data sources to the
  client. This paper is concerned with scheduling of multiple data analysis
  operations, each of which is represented as a pipelined chain of processing
  on data. We define the scheduling problem for effectively placing components
  onto Grid resources, and propose two scheduling algorithms. Experimental
  results are presented using a visualization application.}
}