%0 Journal Article %1 journals/fgcs/XuTFYZZZX19 %A Xu, Gaoxiang %A Tan, Zhipeng %A Feng, Dan %A Yang, Laurence T. %A Zhou, Wei %A Zhang, Xinyan %A Zhang, Yang %A Xu, Jie %D 2019 %J Future Gener. Comput. Syst. %K dblp %P 157-166 %T FvRS: Efficiently identifying performance-critical data for improving performance of big data processing. %U http://dblp.uni-trier.de/db/journals/fgcs/fgcs91.html#XuTFYZZZX19 %V 91

@article{journals/fgcs/XuTFYZZZX19, added-at = {2020-10-22T00:00:00.000+0200}, author = {Xu, Gaoxiang and Tan, Zhipeng and Feng, Dan and Yang, Laurence T. and Zhou, Wei and Zhang, Xinyan and Zhang, Yang and Xu, Jie}, biburl = {https://www.bibsonomy.org/bibtex/28b7a8a7de6221a442ad30edb3d111d4a/dblp}, ee = {https://doi.org/10.1016/j.future.2018.09.003}, interhash = {41ac715f79d7e9b4160d03c1757d9544}, intrahash = {8b7a8a7de6221a442ad30edb3d111d4a}, journal = {Future Gener. Comput. Syst.}, keywords = {dblp}, pages = {157-166}, timestamp = {2020-10-23T11:35:29.000+0200}, title = {FvRS: Efficiently identifying performance-critical data for improving performance of big data processing.}, url = {http://dblp.uni-trier.de/db/journals/fgcs/fgcs91.html#XuTFYZZZX19}, volume = 91, year = 2019 }