Xiao Qin 
Professor of Computer Science
If you are wondering how to pronounce my name click here
Shelby Center for Engineering Technology, Suite 3101E
Department of Computer Science and Software Engineering
Samuel Ginn College of Engineering
Auburn University, AL 36849-5347
Office: 334-844-6327 Fax: 334-844-6329
Latest News
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Al Assaf Defends Dissertation and Joins University of Jordan
In summer 2014, Xunfei Jiang successfully defended her dissertation. Dr. Jiang is an Assistant Professor of Computer Science at Earlham College, IN.
Our new paper, led by Adam Manzanares, documents an energy-aware prefetching strategy (PRE-BUD) for parallel I/O systems with disk buffers.
This offloading library enables users easily applying I/O offloading technology to either an existing or a newly developed I/O-intensive application with minor efforts.
Al Assaf successfully defended his dissertation on Nov. 9, 2011. He will join the University of Jordan as an assistant professor.
Auburn University is ranked 38th among public universities nationwide.
Focusing on Data Storage Systems
BUD: A Buffer-Disk Architecture for Energy-Efficient Parallel Disks
data storage system
The goal of this research is to develop energy conservation techniques that provide significant energy savings while achieving low-cost and high-performance for parallel storage systems.
MINT: Mathematical Reliability Models for Energy-Efficient Parallel Disk Systems
Mint Model
We address the mathematical underpinnings of modeling reliability of energy-efficient parallel disk systems, where fault tolerance and energy-saving techniques are seamlessly integrated together to conserve energy without sacrificing reliability in parallel disk systems.
Multicore-Based Parallel Disk Systems for Large-Scale Data-Intensive Computing
data storage system
We investigate active storage systems which data and I/O processing are offloaded to multicore processors embedded in storage nodes. We bridge the technology gap between multicore computing and parallel storage systems by addressing fundamental issues of multicore computing, data processing and performance analysis for data-intensive computing systems.
Data-Mining-Based Multilayer Prefetching for Hybrid Storage Systems
BUD system
We develop data-mining-based multilayer prefetching techniques to improve the performance of data centers with hybrid storage systems. The technology results in data being loaded from disks to main memory before it is accessed from the disks, thus improving performance and reliability of hybrid storage systems with solid state disks (SSDs), hard disks (HDDs) and tapes.
A Brief Biography
Xiao Qin is a Professor in the Department of
Computer Science and Software Engineering at Auburn
University. He received the B.S. and M.S. degrees in Computer
Science from Huazhong University of Science and Technology,
China, in 1996 and 1999, respectively. He received the Ph.D.
in Computer Science from the University of Nebraska-Lincoln in
2004. Prior to joining Auburn University in 2007, he had been
an assistant professor with New Mexico Institute of Mining and
Technology (New Mexico Tech) for three years. He won an NSF
CAREER award in 2009. His research interests include parallel
and distributed systems, real-time computing, storage systems,
fault tolerance, and performance evaluation. His research is
supported by the U.S. National Science Foundation, Auburn
University, and Intel Corporation. He had served as a subject
area editor of IEEE Distributed System Online (2000-2001). He
has been on the program committees of various international
conferences, including IEEE Cluster, IEEE IPCCC, and ICPP.