ChainDash: An Ad-Hoc Blockchain Data Analytics System-Reference-Cited by-同舟云学术

ChainDash: An Ad-Hoc Blockchain Data Analytics System

Published:2023-08 Issue:12 Volume:16 Page:4022-4025
ISSN:2150-8097
Container-title:Proceedings of the VLDB Endowment
language:en
Short-container-title:Proc. VLDB Endow.

Author:

Liu Yushi¹,Yuan Liwei²,Chen Zhihao¹,Yu Yekai¹,Zhang Zhao³,Jin Cheqing³,Yan Ying²

Affiliation:

1. School of Data Science and Engineering, East China Normal University and Blockchain Platform Division, Ant Group and Engineering Research Center of Blockchain Data Management, Ministry of Education

2. Blockchain Platform Division, Ant Group

3. School of Data Science and Engineering, East China Normal University and Engineering Research Center of Blockchain Data Management, Ministry of Education

Abstract

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.

Publisher

Association for Computing Machinery (ACM)

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Link

https://dl.acm.org/doi/pdf/10.14778/3611540.3611611

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