Beng Chin Ooi
ACM Fellow National University of Singapore, Singapore, VLDB Endowment Chair, ACM Fellow
新加坡国立大学计算机科学系杰出教授，NGS教授和智能系统研究所所长，入选浙江大学 “长江学者特聘教授”。 他于1985年和1989年分别获得了澳大利亚蒙纳士大学的理学士学位（一等荣誉）和博士学位。 2012年，他创立了yzBigData大数据管理和分析公司。2016年创立了Shentilium技术公司，主要关注在财务分析的AI和数据驱动方面。
Untangling Blockchain: A Data Processing View of Blockchain Systems
Blockchain technologies are gaining massive momentum in the last few years. Blockchains are distributed ledgers that enable parties who do not fully trust each other to maintain a set of global states. The parties agree on the existence, values and histories of the states. As the technology landscape is expanding rapidly, it is both important and challenging to have a firm grasp of what the core technologies have to offer, especially with respect to their data processing capabilities. Public blockchains, such as Bitcoin and Ethereum, enable secure peer-to-peer applications like crypto-currency or smart contracts. Private blockchain systems, on the other hand, target and aim to disrupt applications which have so far been implemented on top of database systems, for example banking, finance and trading applications. Multiple platforms for private blockchains are being actively developed and fine tuned. However, there is a clear lack of a systematic framework with which different systems can be analyzed and compared against each other. Such a framework can be used to assess blockchains' viability as another distributed data processing platform, while helping developers to identify bottlenecks and accordingly improve their platforms. In this talk, I shall review some state of the art systems, and present our benchmarking framework and results, and our work on making blockchain systems scalable.