On Modelling and Prediction of Total CPU Usage for Applications in MapReduce Environments

@inproceedings{Rizvandi2012OnMA,
  title={On Modelling and Prediction of Total CPU Usage for Applications in MapReduce Environments},
  author={Nikzad Babaii Rizvandi and Javid Taheri and Reza Moraveji and Albert Y. Zomaya},
  booktitle={ICA3PP},
  year={2012}
}
recently, businesses have started using MapReduce as a popular computation framework for processing large amount of data, such as spam detection, and different data mining tasks, in both public and private clouds. Two of the challenging questions in such environments are (1) choosing suitable values for MapReduce configuration parameters –e.g., number of mappers, number of reducers, and DFS block size–, and (2) predicting the amount of resources that a user should lease from the service… CONTINUE READING
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