TY - JOUR
T1 - ChainDash
T2 - 49th International Conference on Very Large Data Bases, VLDB 2023
AU - Liu, Yushi
AU - Yuan, Liwei
AU - Chen, Zhihao
AU - Yu, Yekai
AU - Zhang, Zhao
AU - Jin, Cheqing
AU - Yan, Ying
N1 - Publisher Copyright:
© 2023, VLDB Endowment. All rights reserved.
PY - 2023
Y1 - 2023
N2 - The emergence of digital asset applications, driven by Web 3.0 and powered by blockchain technology, has led to a growing demand for blockchain-specific graph analytics to unearth the insights. However, current blockchain data analytics systems are unable to perform efficient ad-hoc graph analytics over both live and past time windows due to their inefficient data synchronization and slow graph snapshots retrieval capability. To address these issues, we propose ChainDash, a blockchain data analytics system that dedicates a highly-parallelized data synchronization component and a retrieval-optimized temporal graph store. By leveraging these techniques, ChainDash supports efficient ad-hoc graph analytics of smart contract activities over arbitrary time windows. In the demonstration, we showcase the interactive visualization interfaces of ChainDash, where attendees will execute customized queries for ad-hoc graph analytics of blockchain data.
AB - The emergence of digital asset applications, driven by Web 3.0 and powered by blockchain technology, has led to a growing demand for blockchain-specific graph analytics to unearth the insights. However, current blockchain data analytics systems are unable to perform efficient ad-hoc graph analytics over both live and past time windows due to their inefficient data synchronization and slow graph snapshots retrieval capability. To address these issues, we propose ChainDash, a blockchain data analytics system that dedicates a highly-parallelized data synchronization component and a retrieval-optimized temporal graph store. By leveraging these techniques, ChainDash supports efficient ad-hoc graph analytics of smart contract activities over arbitrary time windows. In the demonstration, we showcase the interactive visualization interfaces of ChainDash, where attendees will execute customized queries for ad-hoc graph analytics of blockchain data.
UR - https://www.scopus.com/pages/publications/85174550941
U2 - 10.14778/3611540.3611611
DO - 10.14778/3611540.3611611
M3 - 会议文章
AN - SCOPUS:85174550941
SN - 2150-8097
VL - 16
SP - 4022
EP - 4025
JO - Proceedings of the VLDB Endowment
JF - Proceedings of the VLDB Endowment
IS - 12
Y2 - 28 August 2023 through 1 September 2023
ER -