Page 56 - profile2012.indd
P. 56
Research Faculty 研究人員
研究員 副研究員
王大為 Da-Wei Wang 王建民 Chien-Min Wang
Research Fellow Associate Research Fellow
Ph.D., Computer Science, Yale University Ph.D., Electrical Engineering, National Taiwan University
Tel: +886-2-2788-3799 ext. 1729 Fax: +886-2-2782-4814 Tel: +886-2-2788-3799 ext. 1703 Fax: +886-2-2782-4814
Email: wdw@iis.sinica.edu.tw Email: cmwang@iis.sinica.edu.tw
http://www.iis.sinica.edu.tw/pages/wdw http://www.iis.sinica.edu.tw/pages/cmwang
● Research Fellow, Institute of Information Science, Academia ● Assistant Research Fellow, Institute of Information Science, Aca- ● Associate Research Fellow, IIS, Academia Sinica (1996 - ) ● Best paper award at the 2006 International Conference on Grid
Sinica, Taiwan (2007/5–present) demia Sinica, Taiwan (1992/12–2000/3) ● Assistant Research Fellow, IIS, Academia Sinica (1991 - 1995) and Pervasive Computing.
● Associate Research Fellow, Institute of Information Science, ● Ph.D., EE, National Taiwan University (1991)
Academia Sinica, Taiwan (2000/3–2007/5) ● B.S., EE, National Taiwan University (1987)
Research Description Publications Research Description Publications
My research interest is in the theoretical foundation of 1. Meng-Tsung Tsai, Tsurng-Chen Chern, Jen-Hsiang Chuang, My research interest is in the area of parallel and distrib- 1. Y. Hou, Chien-Min Wang, C.-Y. Ku, and L.-H. Hsu, “Optimal
computer science and in applying fundamental tools to Chih-Wen Hsueh, Hsu-Sung Kuo, Churn-Jung Liau, Steven uted computing with the emphasis on software supports Processor Mapping for Linear-Complement Communication
various areas. To understand the structure of the objects Riley, Bing-Jie Shen, Chih-Hao Shen, Da-Wei Wang, Tsan- and optimization techniques for data-intensive applica- on Hypercubes,” IEEE Transactions on Parallel and Distrib-
Sheng Hsu, “Efficient simulation of the spatial transmission
to be manipulated computationally, to classify the re- dynamics of influenza,” PLoS ONE, November 2010. tions on parallel and distributed systems. We have ad- uted Systems, Vol. 12, No. 5, pp. 514-527, May 2001.
sources needed for various computational problems and 2. Kung Chen, Yuan-Chun Chang, Da-Wei Wang, “Aspect-ori- dressed replica and server placement problems in various 2. T.-R. Chuang, Y.-S. Kuo, and Chien-Min Wang, “Non-intru-
to nd more e cient algorithms interest me the most. In ented design and implementation of adaptable access control cluster and Grid environments to improve reliability and sive Object Introspection in C++,” Software: Practice and Ex-
perience, No. 32, Vol. 2, pp. 191-207, February 2002.
the application area, I am interested in information pri- for Electronic Medical Records,” International Journal of performance of the systems. We have studied replication
vacy, security and medical informatics. Lately, I have also Medical Informatics, volume 79, number 3, pages 181-203, transition problems so that the replica placement can 3. Yi-Fang Lin, Chien-Min Wang, and Jan-Jan Wu, “Optimizing
March 2010.
been involved in information privacy protection mecha- adapt to new user preference and system con guration. I/O Server Placement for Parallel I/O on Switch-Based Irregu-
lar Networks,” The Journal of Supercomputing, pp. 201-217,
nism design and the development of privacy regulations 3. Jan-Jan Wu, Yi-Fang Lin, Da-Wei Wang, Chien-Min Wang, With multiple servers in the systems, we have proposed Vo. 36, No. 3, June 2006.
“Optimizing Server Placement for Parallel I/O in Switch-
in medical research. The goal is to clarify the privacy pro- Based Clusters,” Journal of Parallel and Distributed Com- e cient algorithms to improve the aggregate bandwidth 4. Chien-Min Wang, Chun-Chen Hsu, Pangfeng Liu, Hsi-Min
tection problem and to design and construct a practical puting, volume 69, number 3, pages 266-281, March 2009, and reliability of data transfers. Based on the above results, Chen, and Jan-Jan Wu, “Optimizing Server Placement in Hier-
protection mechanism so that information can be shared doi:10.1016/j.jpdc.2008.10.001 we have designed and implemented a high-performance archical Grid Environments,” The Journal of Supercomputing,
e ciently and personal privacy can be protected at the 4. Ting-Ting Liu, You-Hsuan Lin, Chia-Sui Hung, Tian-Jiun Liu, virtual storage system for Taiwan UniGrid. We have also pp. 267-282, Vo. 42, No. 3, December 2007.
same time. Over the past few years, we developed a pro- Yu Chen, Yung-Ching Huang, Tsung-Heng Tsai, Huai-Hsien investigated resource management problems and pro- 5. Chun-Chen Hsu, Chien-Min Wang, and Pangfeng Liu, “Op-
Wang, Da-Wei Wang, Juen-Kai Wang, Yuh-Lin Wang, and
totype system CellSecu to safe guard personal privacy. Chi-Hung Lin, “A high speed detection platform based on posed bidding-based mechanisms for resource selection timal Replication Transition Strategy in Distributed Hierar-
The system will check if datasets to be released leak too surface-enhanced Raman scattering for monitoring antibiotic- in distributed environments. chical Systems,” Proceedings of the 22nd IEEE International
much personal information. We discovered appropriate induced chemical changes in bacteria cell wall,” PloS ONE, Recently, we focused our attention on distributed le sys- Parallel and Distributed Processing Symposium, Miami, Flor-
ida, USA, April 2008.
logic model for the problem and quanti ed the privacy volume 4, pages e5470-1 ~ e5470-10, 2009. tems for clouds and virtualization for multi-cores. Cloud
leakage with information theory and economic models. 5. Pang-Feng Liu, May-Chen Kuo, and Da-Wei Wang, “An Ap- computing is a new and promising paradigm in which 6. Jan-Jan Wu, Yi-Fang Lin, Da-Wei Wang, and Chien-Min
proximation Algorithm and Dynamic Programming for Re-
Secure Multiparty Protocol can be applied to tackle the duction in Heterogeneous Environments,” Algorithmica, vol- dynamically scalable and often virtualized resources are Wang, “Optimizing Server Placement for Parallel I/O in
Switch-based Clusters,” Journal of Parallel and Distributed
problem that some important information can be com- ume 53, number 3, pages 425-453, 2009. provided as a service over the Internet. It provides many Computing, Vol. 69, No. 3, pp. 266-281, March 2009.
puted while the data owners do not have to reveal their 6. Da-Wei Wang, Churn-Jung Liau, and Tsan-sheng Hsu, “An advantages, such as resource sharing and scaling, reduced 7. Chien-Min Wang, Hsi-Min Chen, Chun-Chen Hsu, and Jona-
data. Although there are beautiful theoretical solutions, Epistemic Framework for Privacy Protection in Database capital expenditure, simpli ed IT management, higher than Lee, “Dynamic Resource Selection Heuristics for a Non-
they are not suitable for problems involving large dataset. Linking,” Data and Knowledge Engineering, volume 61, resource utilization, and better reliability. Distributed le reserved Bidding-based Grid Environment,” Future Genera-
We try to quantify the information leakage in this setting number 1, pages 176-205, April 2007. systems for clouds integrate a large number of storage de- tion Computer Systems, Vol. 26, No. 2, pp. 183-197, 2010.
with an information theoretical framework, so that trade- 7. Da-Wei Wang, Churn-Jung Liau, Tsan-sheng Hsu, Jeremy vices and provide users a virtualized huge storage space. 8. Jan-Jan Wu, Shu-Fan Shih, Hsiangkai Wang, Pangfeng Liu,
o between the computational resources needed and the K.-P Chen, “Value versus damage of information release: A The research e ort focuses on challenging issues such as and Chien-Min Wang, “QoS-aware Replica Placement for
data privacy perspective,” International Journal of Approxi-
level of privacy protection achieved becomes possible. mate Reasoning, 2006. Grid Computing,” Concurrency and Computation: Practice
fault-tolerant service management, QoS-supported re- and Experience, pp. 193-213, Vol. 24, No. 3, 2011.
8. Da-Wei Wang, C. J. Liau, and T.-S. Hsu, “Medical Privacy source management, and energy-conservative storage
Protection Based on Granular Computing,” Artifi cial Intel- management. Virtualization is a very important technol- 9. Chien-Ming Wang, Chi-Chang Huang, and Huan-Ming Liang,
ligence in Medicine, volume 32, number 2, pages 137-149, “ASDF: An Autonomous and Scalable Distributed File Sys-
2004. ogy for multi-cores and clouds. It allows applications run- tem,” Proceedings of the 11th IEEE/ACM International Sym-
ning on such systems to be agnostic about the underlying posium on Cluster, Cloud and Grid Computing, pp. 485-493,
9. Yu-Cheng Chiang, Tsan-Sheng Hsu, Sun Kuo, Churn-Jung Los Angeles, USA, May 2011.
Liau and Dai-Wei Wang, “Preserving Confidentiality When platforms. This research e ort focuses on the core tech-
Sharing Medical Database with the Cellsecu System,” Inter- nologies such as dynamic compilation techniques for bi- 10. Chun-Chen Hsu, Pangfeng Liu, Chien-Min Wang, Jan-Jan
national Journal of Medical Informatics, volume 71, pages nary translation, binary optimization targeting multi-core Wu, Ding-Yong Hong, Pen-Chung Yew, and Wei-Chung Hsu,
17-23, January 2003. “LnQ: Building High Performance Dynamic Binary Transla-
systems, and e cient runtime support for system-mode
10. Kuo-Hui Tsai, Da-Wei Wang, and Frank Hwang, “Lower virtualization. tors with Existing Compiler Backends,” Proceedings of the
Bounds for Nonblocking Clos Network,” Theoretical Com- 40th International Conference on Parallel Processing, pp.
puter Science, volume 261, pages 323-328, January 2001. 226-234, Taipei, Taiwan, Sep. 2011.
研究人員
56 Research Faculty
57
