一、主 题：Untangling Blockchain: A Data Processing View of Blockchain Systems
二、主讲人：新加坡国立大学 OOI Beng Chin教授 ACM Fellow, IEEE Fellow
五、主讲人：计算机科学与工程学院 国家“千人计划”入选者 申恒涛教授
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.
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 from Monash 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 has served as a PC member for international conferences such as ACM SIGMOD, VLDB, IEEE ICDE, WWW, and SIGKDD, and as Vice PC Chair for ICDE'00,04,06, PC co-Chair for SSD'93 and DASFAA'05, PC Chair for ACM SIGMOD'07, Core DB PC chair for VLDB'08, and PC co-Chair for IEEE ICDE'12 and IEEE Big Data'15. He is serving as a PC Chair for IEEE ICDE'18. He was an editor of VLDB Journal and IEEE Transactions on Knowledge and Data Engineering, Editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering (TKDE)(2009-2012), Elsevier's co-Editor-in-Chief of Journal of Big Data Research (2013-2015), and a co-chair of the ACM SIGMOD Jim Gray Best Thesis Award committee. He is serving as an editor of IEEE Transactions on Cloud Computing and Springer's Distributed and Parallel Databases. He is also serving as a Trustee Board Member and President of VLDB Endowment, and an Advisory Board Member of ACM SIGMOD. He co-founded yzBigData (hhtp://www.yzbigdata.com) in 2012 for Big Data Management and analytics, and Shentilium (https://shentilium.com/) in 2016 for AI- and data-driven Finance Data Analytics.
Beng Chin was the recipient of ACM SIGMOD 2009 Contributions award, a co-winner of the 2011 Singapore President's Science Award, the recipient of 2012 IEEE Computer Society Kanai award, 2013 NUS Outstanding Researcher Award, 2014 IEEE TCDE CSEE Impact Award, and 2016 China Computer Federation (CCF) Overseas Outstanding Contributions Award.. He is a fellow of the ACM , IEEE, and Singapore National Academy of Science (SNAS).
编辑：罗莎 / 审核：罗莎 / 发布者：林坤