SPRING: Improving the Throughput of Sharding Blockchain via Deep Reinforcement Learning Based State Placement.
Pengze Li|Mingxuan Song|Mingzhe Xing|Zhen Xiao|Qiuyu Ding|Shengjie Guan|Jieyi Long
| Anthology ID: | DBLP:conf/www/LiSXXDGL24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2836-2846 |
| URL: | https://doi.org/10.1145/3589334.3645386 |
| DOI: | https://doi.org/10.1145/3589334.3645386 |
| DBLP: | conf/www/LiSXXDGL24 |
| BibTeX: |
@inproceedings{li-2024-spring,
author = {Pengze Li and
Mingxuan Song and
Mingzhe Xing and
Zhen Xiao and
Qiuyu Ding and
Shengjie Guan and
Jieyi Long},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{SPRING: Improving the Throughput of Sharding Blockchain via Deep Reinforcement Learning Based State Placement}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {2836--2846},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645386},
doi = {https://doi.org/10.1145/3589334.3645386}
}