河南省大数据研究院

Henan Academy of Big Data

-->
学术报告
学术报告——Remolding Blockchain for Fair Data Processing

日期:2021-12-02   作者:   点击:


 报告人:澳门科技大学 赵庆林 教授

 

报告题目Remolding Blockchain for Fair Data Processing

 

报告摘要:Currently, Cloud/Edge computing adopts centralized frameworks for data processing. In the era of big data, the rapid increase of real-time streaming data processing with high concurrency is making centralized control problems more serious, including the single point of failure, performance bottleneck, and high maintenance cost. On the other hand, the blockchain technology is very promising to solve these problems because of its decentralized characteristics and aggregated enormous computing resources, but it often consumes these recourses for purely reaching decentralized consensus, instead of solving practical problems. The recently proposed proof of useful work (PoUW) consensus mechanism has therefore been proposed stepping forward to utilize these potential enormous recourses for meaningful data processing. However, in order to use the blockchain for data processing, two fundamental issues remain unknown: 1). how to remold the transaction-recording blockchain for decentralized data processing, 2). how to support data-processing fairness under decentralized control. This talk is devoted to solving these two issues.

 

报告人简介Qinglin Zhao is currently a professor at the Faulty of Information Technology (FIT), Macau University of Science and Technology (MUST). He obtained his Ph.D. degree from the Institute of Computing Technology, the Chinese Academy of Sciences, Beijing, China, in 2005. From May 2005 to August 2009, he conducted post-doctoral academic research at the Chinese University of Hong Kong (CUHK) and the Hong Kong University of Science and Technology (HKUST). In September 2009, he joined the FIT, MUST, and has worked there so far. His research interests are in the areas of Blockchain and decentralization computing, machine learning and its applications, Internet of things, wireless communications and networking, cloud/fog computing, software-defined wireless networking, etc.

He has been an associate Editor of IEEE Transactions on Mobile Computing and IET Communications since 2021; a guest Editor of Mobile Information Systems for Special Issue on Artificial Intelligence for Next-Generation Wireless Networks, 2021; a senior member of IEEE and a member of CCF Blockchain since 2019. He contributed over 60 peer-reviewed journal and conference papers. He received Bank of China (BOC) excellent research award in 2011 and 2015. His research publications appear in the high-quality peer reviewed journals and conference proceedings, such as IEEE Transaction journals, IEEE Infocom, Globecom, ICC, etc. He has obtained more than 20 international patents (including 8 US patents).

 

报告时间2021年12月5日9:00-12:00

 

会议地点:腾讯会议(ID: 485 830 828)

 

组织者:任景莉,河南省大数据研究院大数据科学研究团队

 

联系人:陶亦文,联系电话:17719809695



上一条:学术报告——Convergence Properties of the Distributed Projected Subgradient Algorithm over General Graphs

下一条:学术报告——CALLR: a semi-supervised cell type annotation method for single-cell RNA sequencing data

关闭

地址:郑州市二七区大学北路75号郑州大学南校区18号楼

版权所有:郑州大学    邮编450000