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Reshaping text data for efficient processing on Amazon EC2
2010
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing - HPDC '10
Text analysis tools are nowadays required to process increasingly large corpora which are often organized as small files (abstracts, news articles, etc). Cloud computing offers a convenient, on-demand, pay-as-you-go computing environment for solving such problems. We investigate provisioning on the Amazon EC2 cloud from the user perspective, attempting to provide a scheduling strategy that is both timely and cost effective. We rely on the empirical performance of the application of interest on
doi:10.1145/1851476.1851540
dblp:conf/hpdc/TurcuFN10
fatcat:nmmgwvgflrc3dnqr2ptuuhj2xa