报告题目：支持私有区块链性能分析的评估框架
A Framework for Analyzing Private Blockchains
报告时间：6月13日（周二）15：00－16：30
报告地点：浑南校区信息学馆B222
邀请人： 于戈教授
报告人简介：Beng Chin is a Distinguished Professor of Computer Science, NGS faculty member and Director of IDMI at the National University of Singapore (NUS), and an adjunct Chang Jiang Professor at Zhejiang University. He obtained his BSc (1st Class Honors) and PhD fromMonash University, Australia, in 1985 and 1989 respectively. His research interests include database, distributed processing, and large scale analytics, in the aspects of system architectures, performance issues, security, accuracy and correctness.
Beng Chin was the recipient ofACM SIGMOD 2009 Contributions award, a co-winner of the2011 SingaporePresident's Science Award, the recipient of 2012 IEEE Computer Society Kanai award, 2013 NUS Outstanding Researcher Award,2014 IEEE TCDE CSEE Impact Award, and 2016China Computer Federation (CCF) Overseas Outstanding Contributions Award. He is a fellow of the ACM, IEEE, and Singapore National Academy of Science (SNAS).
http://www.comp.nus.edu.sg/~ooibc/
内容简介：In this talk, I first describe Blockbench, the first evaluation framework for analyzing private blockchains. It serves as a fair means of comparison for different platforms and enables deeper understanding of different system design choices. Any private blockchain can be integrated to Blockbench via simple APIs and benchmarked against workloads that are based on real and synthetic smart contracts. Blockbench measures overall and component-wise performance in terms of throughput, latency, scalability and fault-tolerance. Next, we use Blockbenchto conduct comprehensive evaluation of three major private blockchains: Ethereum, Parity and HyperledgerFabric. The results demonstrate that these systems are still far from displacing current database systems in traditional data processing workloads. Furthermore, there are gaps in performance among the three systems which are attributed to the design choices at different layers of the blockchain's software stack. I will also briefly introduce our distributed storage system, UStore, which has been designed to support Private Blockchain and Collborative Analytics as applications.