I am Baoquan Zhang, a Ph.D. Candidate (Sep.2015 - current) in Computer Science at University of Minnesota Twin-Cities advised by Professor David H.C. Du. Currently, I am a member of CRIS (Center for Research in Intelligent Storage), UMN and working on Cloud Storage, Software RAID Systems, SMR Drives, Key-Value Stores and etc.
Before joining UMN, I got B.E. (Sep. 2008 - July 2012) and M.S. (Sep. 2012 - April 2015) degrees in Computer Science at Harbin Engineering University, China. As a Research Assistant (June 2013 - April 2015), I worked in Cloud Storage in the storage systems group at Research Institute of Information Technology, Tsinghua University, Beijing advised by Prof. Dongsheng Wang.
Design a software RAID 5/6 on Host-Aware SMR drives to mitigate the performance degradations caused by the drive cleanings.
Design and implement a DIX-aware MD module using T10 PI to solve the integrity losing problem of current MD module in Linux kernel.
A hybrid system combining relational databases with applications of big structured data processing was designed to construct a general platform supporting both OLAP and OLTP.
A mathematical model which scheduled the I/O requests among nodes according to their performance was established to improve the system performance by balancing the time cost among nodes.
Designed and implemented a method based on a cache mechanism to improve the performance of data joining among geo-distributed Hadoop clouds.
 Zhang, Baoquan, Jingmei Li, Tao Xu, Dongsheng Wang, and Nan Ding. "Shared I/O scheduling in cloud for structured data processing." In Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on, pp. 159-166. IEEE, 2014.
 Chinese Patent: A method and a system for data joining among geo-distributed cloud, Patent No. ZL201410081163.7