Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications

@inproceedings{Ranganathan2002DecouplingCA,
  title={Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications},
  author={Kavitha Ranganathan and Ian T. Foster},
  booktitle={HPDC},
  year={2002}
}
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So-called Data Grids seek to harness geographically distributed resources for such large-scale data-intensive problems. Yet effective scheduling in such environments is challenging, due to a need to address a variety of metrics and constraints (e.g., resource utili zation, response time, global and local allocation… CONTINUE READING

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