Research : Fast-forwardable SSD model Oct 2020 - Now
designing a quantitative model for predicting SSDs' future wear states.
using SSD simulators to validate theoretical result.
Hi, Welcome to my personal site.
I am a second year Ph.D student in the Department of Electrical Engineering & Computer Science at Syracuse University. Before I came here, I was a graduate student in the Department of Computer Science and Engineering in the McKelvey School of Engineering at Washington University in St. Louis. I earned a Bachelor of Engineering in Electronic Information Engineering from China. I served as an intern at the Institute of Computing Technology, Chinese Academy of Sciences.
I am interested in data storage systems and AI areas. Currently, I'm focusing on flash storage. The emerging SSDs caused serious competition to disks. Although researchers have spent decades learning and studying disk performance, little about the behavior of flash memory is yet known and we need to find a better way to exploit SSDs' potential. Much of my current work focuses on the performance of the Flash Translation Layer (FTL) algorithm, that is, how to predict write amplification, which in turn determines performance, endurance, and reliability.
designing a quantitative model for predicting SSDs' future wear states.
using SSD simulators to validate theoretical result.
exploiting tradeoffs among capacity, performance, and reliability (CPR) for SSDs.
building a capacity-variant interface that relieves performance degradation.
paper: https://www.usenix.org/system/files/osdi20-hao.pdf
slides: https://docs.google.com/presentation/d/1yrL1Kc-Oye0Og9tLdAFe3yyY0zXLYenz0z_7Fchs-bI/edit?usp=sharing
implementing techniques introduced in TRIAD on LevelDB.
refine LevelDB to make it adjust to workload.
paper: https://ieeexplore.ieee.org/document/9113713
slides: https://docs.google.com/presentation/d/1LPpuiztBFXl7QGhq2HHnfsE5wSzL-Pi-YhAglI1xi1M/edit?usp=sharing
Syracuse University, USA
Supervisor: Prof. Bryan S. Kim
Washington University in St. Louis, USA
Courses undertaken Operating System, Machine Learning, Advanced Machine Learning and Web Programming, Advanced Algorithms, Artificial Intelligence.
Teaching Assistant
TA for CSE417 - Introduction to Machine Learning.
Software Development Intern
Working in products testing team.
Research Assistant
Laboratory for Face Recognition Based on Matlab+PCA+SVM.
On the off chance that you might want to connect with me, be it for investigating innovation, recruiting, or to simply say hello, don't hesitate to send me an email at zjiao04@syr.edu