Star Student Project utilizes a Cost Transitive Tournament Shortest Path (CTT-SP)-based algorithm, which was used for static on-demand minimum cost benchmarking of data sets storage in the cloud. We enhance the CTT-SP algorithm by incorporating users’ (optional) preferences on storage that can offer users some flexibility. Based on the enhanced CTT-SP algorithm, Star Student Project proposes a runtime local-optimization-based strategy for storing the generated application data sets in the cloud.
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