Organization: Alibaba
Email: ricosfeifei@gmail.com
Title: Cloud Native Database–Challenges and Techniques
Abstract
Cloud native database becomes increasingly important for the era of cloud computing, due to the needs for elasticity and on-demand billing by cloud customers. A cloud native database leverages software-hardware co-design to explore accelerations offered by new hardware such as RDMA, NVM, kernel by-passing protocols, etc. Meanwhile, new design architectures such as shared-storage and shared-everything enable a cloud-native database to decouple computation from storage and provide elasticity. For highly concurrent workloads that require high horizontal scalability, a cloud native database can also leverage a shared-nothing layer to provide distributed query and transaction processing. Cloud applications also require that cloud native databases to offer high availability through distributed consensus protocols. At Alibaba, we have explored a suite of new technologies to design a cloud-native database. For example, our storage engine, X-engine, improves both write and read throughputs by using a LSM-tree design and self-adapted separation of hot and cold data records. Based on these efforts, we have designed and implemented PolarDB and its distributed version PolarDB-X, which has successfully supported the extremely pressing transaction workloads during the 2018 Global Shopping Festival on Nov. 11, 2018, and achieved commercial success on Alibaba cloud.
Biography
Feifei Li is currently a Vice President of Alibaba Group, the Chief Database Scientist of DAMO academy, ACM Distinguished Scientist, Director of the Database Products Business Unit of Alibaba Cloud and the Database and Storage Lab of DAMO academy. Before joining Alibaba, He has been a tenured full professor at the School of Computing, University of Utah (currently on leave). He has won multiple awards from NSF, ACM, IEEE, Visa, Google, HP, and Huawei. In particular, he is a recipient of the IEEE ICDE 2014 10 Years Most Influential Paper Award, ACM SIGMOD 2016 Best Paper Award, ACM SIGMOD 2015 Best System Demonstration Award, IEEE ICDE 2004 Best Paper Award, NSF Career Award by US National Science Foundation, and Outstanding oversea research award by NSFC. He has been an associate editor, co-chairs, and core committee members for many prestigious research journals and conferences.
