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| Focusing
on Data Storage Systems |
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| Multicore-Based
Parallel
Disk Systems for Large-Scale Data-Intensive Computing |
| We will provide the
first parallel disk system in which large parts of data and
input/output processing are offloaded to multicore processors embedded
in disk drives. Our research group will bridge the technology gap
between multicore computing and parallel disk systems by addressing
fundamental issues of multicore computing, data processing and
performance analysis for data-intensive computing systems. |
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Data-Mining-Based
Multilayer Prefetching for Hybrid Storage Systems
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| The three-year
project is designed to build 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. |
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| A Brief Biography |
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| Xiao Qin is an Assistant
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 NAF 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. |
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