Spark-uDAPL: Cost-Saving Big Data Analytics on Microsoft Azure Cloud with RDMA Networks\(^\mbox*\). Lu, X., Shankar, D., Shi, H., & Panda, D. K. In Abe, N., Liu, H., Pu, C., Hu, X., Ahmed, N. K., Qiao, M., Song, Y., Kossmann, D., Liu, B., Lee, K., Tang, J., He, J., & Saltz, J. S., editors, IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018, pages 321–326, 2018. IEEE. Paper doi bibtex @inproceedings{DBLP:conf/bigdataconf/LuSSP18,
author = {Xiaoyi Lu and
Dipti Shankar and
Haiyang Shi and
Dhabaleswar K. Panda},
editor = {Naoki Abe and
Huan Liu and
Calton Pu and
Xiaohua Hu and
Nesreen K. Ahmed and
Mu Qiao and
Yang Song and
Donald Kossmann and
Bing Liu and
Kisung Lee and
Jiliang Tang and
Jingrui He and
Jeffrey S. Saltz},
title = {Spark-uDAPL: Cost-Saving Big Data Analytics on Microsoft Azure Cloud
with {RDMA} Networks\({}^{\mbox{*}}\)},
booktitle = {{IEEE} International Conference on Big Data {(IEEE} BigData 2018),
Seattle, WA, USA, December 10-13, 2018},
pages = {321--326},
publisher = {{IEEE}},
year = {2018},
url = {https://doi.org/10.1109/BigData.2018.8622615},
doi = {10.1109/BIGDATA.2018.8622615},
timestamp = {Fri, 19 Nov 2021 16:08:20 +0100},
biburl = {https://dblp.org/rec/conf/bigdataconf/LuSSP18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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