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} }