MARISSA: MApReduce Implementation for Streaming Science Applications

@article{Dede2012MARISSAMI,
  title={MARISSA: MApReduce Implementation for Streaming Science Applications},
  author={Elif Dede and Zacharia Fadika and Jessica Hartog and Madhusudhan Govindaraju and Lavanya Ramakrishnan and Dan Gunter and Shane Canon},
  journal={2012 IEEE 8th International Conference on E-Science},
  year={2012},
  pages={1-8}
}
MapReduce has since its inception been steadily gaining ground in various scientific disciplines ranging from space exploration to protein folding. The model poses a challenge for a wide range of current and legacy scientific applications for addressing their “Big Data” challenges. For example: MapRe-duce's best known implementation, Apache Hadoop, only offers native support for Java applications. While Hadoop streaming supports applications compiled in a variety of languages such as C, C… CONTINUE READING
8 Citations
27 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-8 of 8 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 27 references

Blast

  • I. Korf, M. Yandell, J. Bedell
  • O’Reilly & Associates, Inc., Sebastopol, CA, USA
  • 2003
Highly Influential
6 Excerpts

Similar Papers

Loading similar papers…