On-demand minimum cost benchmarking for intermediate dataset storage in scientific cloud workflow systems

@article{Yuan2011OndemandMC,
  title={On-demand minimum cost benchmarking for intermediate dataset storage in scientific cloud workflow systems},
  author={Dong Yuan and Yun Yang and Xiao Qiao Liu and Jinjun Chen},
  journal={J. Parallel Distrib. Comput.},
  year={2011},
  volume={71},
  pages={316-332}
}
Many scientific workflows are data intensive where a large volume of intermediate datasets is generated during their execution. Some valuable intermediate datasets need to be stored for sharing or reuse. Traditionally, they are selectively stored according to the system storage capacity, determined manually. As doing science on cloud has become popular nowadays, more intermediate datasets in scientific cloud workflows can be stored by different storage strategies based on a pay-as-you-go model… CONTINUE READING
Highly Cited
This paper has 72 citations. REVIEW CITATIONS
47 Citations
32 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 47 extracted citations

73 Citations

01020'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 73 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 32 references

Similar Papers

Loading similar papers…