Systems and Storage System Laboratory (CASS)
Computer Architecture and Storage System (CASS) laboratory has primary research
interests which cover a wide spectrum in the areas of high performance and computer
systems. A common thread among our research projects focuses on fast data
accesses and resource sharing with cost- and energy-efficient management at
different levels of memory and storage hierarchies in supercomputer, parallel
and distributed computer systems. More recently, CASS research interests cover
the areas of interdisciplinary computing, computer architecture, and low-power
computing. A significant complimentary thread among CASS extensive research
projects emphasize at developing new software tools and hardware platforms to
stimulate advances in science and engineering research, where large digital
data collections are increasingly prevalent. CASS research projects have been
sponsored by several federal funding agencies such as National Science
Foundation, Department of Energy, and NASA. In the last five years, the total
amount of research funding is approximately $3.03M.
- Dr. Wang
- Current Students:
Zhang (Beginning Fall 2009, Master secured in Fall
2010, Master thesis title: Research on Reverse Lookup Problem in
Distributed File System.)
- Qiangju Xiao (Beginning Fall 2010)
- Jianglin Yin
(Beginning Spring 2012)
- Alan Birmaher
- Xuhong Zhang
- Qishi Hu
you are interested in our research program, please contact us.
- Pengju Shang, PhD in Summer 2011,
dissertation: “Research in high performance and low power computer
systems for Data-intensive environment”, First employment after
- Lu Chen, Master in Fall 2010, Master thesis title: Concentric layout, a
new data layout for matrix set in Hadoop file
- Zhengkai Wu, Master
in Fall 2010
- Saba Sehrish,
PhD in Summer 2010,
dissertation: “Improving Performance and Programmer Productivity for
I/O-Intensive High Performance Computing Applications”. Master program under Dr. Mark Heinrich's
supervision. First employment after graduation: Postdoc in Northwestern
University (Alok’s group).
Shankarappa, Master in Summer
- Johnny Morris, Master, Spring 2009
Zhu, Master in Fall 2008.
- Peng Gu, PhD in Summer 2008,
dissertation: Metadata and Data Management in High-performance File and
Storage Systems; First employment after graduation: Microsoft.
- Dr. Kening
Zhang, Research Associate, 2008 (Ph.D. program under Dr. Ron DeMara's supervision).
- Xiaoyu Yao, PhD
in Spring 2007, dissertation: Improving Performance and Energy-efficiency
in Storage Server Systems; First employment after graduation: Microsoft.
Li, PhD in Summer 2006, dissertation: High Performance Energy-efficient File and
Storage Systems; First employment after graduation: Pillar Data Systems.
- Hailong Cai, PhD in Summer 2006,
dissertation: Self-organization and Content Location for Data Sharing
Peer-to-Peer Systems; First employment after graduation: Google Inc.
- Jeffrey Gerard, BS with
distinction in Spring 2006.
- Brandon Smith, UNL UCARE
- Tallman Tyler, UNL UCARE
- Matthew Landowski, UCF 2006.
- Matthew Beiser, UCF 2006.
- Dr. Wang has been interviewed by Orlando CBS TV channel and
Florida Today newspaper in Feb. & March 2012 regarding cloud computing
and his associated research.
- A sole-PI 3-year NSF Computer
Systems Research grant was awarded with an effective date September 2011.
- Our collaborative work with LANL
about Scalable Visualization I/O was presented in HEC FSIO
workshop in August 2011.
- Dr. Pengju Shang successfully
defended his dissertation work in Summer 2011.
- Pengju, Christopher
and Junyao, each had one IEEE IPDPS’11
paper accepted for a 20% ever lowest acceptance rate (112/571).
- Dr. Saba Sehrish
successfully defended her dissertation work titled “Improving
Performance and Programmer Productivity for I/O-Intensive High Performance
Computing Applications” on July 8th 2010.
- Saba’s MRAP framework
has been accepted by ACM HPDC’10, with acceptance rate 25% (23/91).
- Dr. Wang won NSF CAREER
- Grant Mackey and Christopher Mitchell conducted
summer 2008 and 2009 internships on the data intensive HPC file and
storage projects in Los Alamos national
- A sole-PI 3-year NSF grant was awarded with an effective date in
- Dr. Peng Gu
defended his Ph.D. dissertation on July 10th 2008 and joined
- Huijun and Peng published works in ICS08 and ICPP08.
NSF CSR: DSA-Cloud: Data Semantics Aware Clouds for High
Performance Analytics, sole PI. 2011-2014. $375K.
Data-Intensive HPC Analytics: A Systems Approach through Extended Interfaces,
Data Restructuring and Data-centric Scheduling, sole
PI. 2011-2015. $435K.
Recent and Past
NSF: Fast Recovery Using Optimal and Near-Optimal
Parallelism in Data-Intensive Computing, sole PI. 2008-2011. $300K.
- A Lightweight,
High-performance I/O Management Package for Data-intensive Computing
(Department Of Energy-DOE Early Career Principal Investigator Award) sole PI.
- HEC: Collaborative Research: SAM^2 Toolkit:
Scalable and Adaptive Metadata Management for High-End Computing (NSF)
w/ Prof. Jiang from Nebraska, etc. 2006-2009. $182K@UCF/$600K in all.
Research: Energy conservation in storage systems using coding techniques
(NSF) w/ Prof. Varman from Rice. 2006-2008.
Energy-efficient, high performance storage array systems, sole PI.
- An NERSC Allocation Year 2009 award, AY 2009
runs from January 13, 2009 through January 11, 2010.
The MPP award is: 50,000
Cray XT4-equivalent MPP hours for repository m827
The HPSS award is:
500 SRUs for repository m827
- An NERSC Allocation Year 2008 Startup
award, AY 2008 runs from
January 8, 2008 through January 12, 2009, enable our group to experiment
with supercomputers such as Franklin (19,320-processor Opteron MPP/Lustre), Jacquard (712-CPU Opteron Linux cluster/GPFS)
· An I/O buffer
cache architecture for RDMA (NSF). 2004. Sole PI. $35K.
UCFS -- A User-space, High Performance,
Custom File System for Web Proxy Servers
WOLF -- A Novel Reorder Write Buffer for
log-structured File System
PROFS -- Data Placement Scheduling for
Log-structured File System on Multi-Zone Disks
· A 16-node Dell Power-edge 1950 cluster, per node Dual Dual-core Intel
Xeon Processor, 4 GB memory, 2 500/144 GB SATA/SAS hard drives
· A 48-node Sun Solaris cluster
· A data archive center for SEECS Data warehouse project, including two
Dell storage servers and four PowerVault MD1000
Storage Trays (20 TB capacity)
· Seven Dell precision 690 workstations
· An 8-SCSI-Disk RAID System
· A HP/Agilent 34970A System