Evaluating Hadoop for Data-Intensive Scientific Operations

@article{Fadika2012EvaluatingHF,
  title={Evaluating Hadoop for Data-Intensive Scientific Operations},
  author={Zacharia Fadika and Madhusudhan Govindaraju and Shane Canon and Lavanya Ramakrishnan},
  journal={2012 IEEE Fifth International Conference on Cloud Computing},
  year={2012},
  pages={67-74}
}
Emerging sensor networks, more capable instruments, and ever increasing simulation scales are generating data at a rate that exceeds our ability to effectively manage, curate, analyze, and share it. Data-intensive computing is expected to revolutionize the next-generation software stack. Hadoop, an open source implementation of the MapReduce model provides a way for large data volumes to be seamlessly processed through use of large commodity computers. The inherent parallelization… CONTINUE READING
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