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- ArticleJune 2014
Performance Variations in Resource Scaling for MapReduce Applications on Private and Public Clouds
CLOUD '14: Proceedings of the 2014 IEEE International Conference on Cloud ComputingPages 456–465https://doi.org/10.1109/CLOUD.2014.68In this paper, we delineate the causes of performance variations when scaling provisioned virtual resources for a variety of MapReduce applications. Hadoop MapReduce facilitates the development and execution processes of large-scale batch applications ...
- ArticleDecember 2013
Cluster-Size Scaling and MapReduce Execution Times
CLOUDCOM '13: Proceedings of the 2013 IEEE International Conference on Cloud Computing Technology and Science - Volume 01Pages 240–249https://doi.org/10.1109/CloudCom.2013.39Understanding performance scalability in MapReduce applications presents a challenging problem. The difficulty lies in the distributed locations of input data and the distributed compute resources that utilize varied network substrates. User-defined Map ...
- ArticleMay 2013
Dataset Scaling and MapReduce Performance
IPDPSW '13: Proceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing Workshops and PhD ForumPages 1683–1690https://doi.org/10.1109/IPDPSW.2013.143Predicting execution behavior of MapReduce applications when scaling the input dataset presents a challenging problem. The difficulty lies in the distributed locations of input data and the distributed, virtualized compute resources that utilize ...
