Water-Wheel: Real-Time Storage with High Throughput and Scalability for Big Data Streams

Yanqi Lv, Ruicheng Liu, Peiquan Jin. Water-Wheel: Real-Time Storage with High Throughput and Scalability for Big Data Streams. In Shi-Kuo Chang, editor, The 33rd International Conference on Software Engineering and Knowledge Engineering, SEKE 2021, KSIR Virtual Conference Center, USA, July 1 - July 10, 2021. pages 634-635, KSI Research Inc., 2021. [doi]

@inproceedings{LvLJ21-0,
  title = {Water-Wheel: Real-Time Storage with High Throughput and Scalability for Big Data Streams},
  author = {Yanqi Lv and Ruicheng Liu and Peiquan Jin},
  year = {2021},
  doi = {10.18293/SEKE2021-204},
  url = {https://doi.org/10.18293/SEKE2021-204},
  researchr = {https://researchr.org/publication/LvLJ21-0},
  cites = {0},
  citedby = {0},
  pages = {634-635},
  booktitle = {The 33rd International Conference on Software Engineering and Knowledge Engineering, SEKE 2021, KSIR Virtual Conference Center, USA, July 1 - July 10, 2021},
  editor = {Shi-Kuo Chang},
  publisher = {KSI Research Inc.},
  isbn = {1-891706-52-7},
}