Page 59 - profile-ok
P. 59
研究人員 | Research Faculty
● Associate Research Fellow, IIS, Academia Sinica (1996 - ) Best paper award at the 2006 International Conference on Grid and
王建民 Chien-Min Wang ● Assistant Research Fellow, IIS, Academia Sinica (1991 - 1995) Pervasive Computing.
● Ph.D., EE, National Taiwan University (1991) Member of the Guest Editorial Board of the International Journal of
● B.S., EE, National Taiwan University (1987) Grid and High Performance Computing.
副研究員 Associate Research Fellow
Ph.D., Electrical Engineering, National Taiwan University
Tel: +886-2-2788-3799 ext. 1703
Fax: +886-2-2782-4814
Email: cmwang@iis.sinica.edu.tw
http://www.iis.sinica.edu.tw/pages/cmwang
代表著作 Publications
1. C.-M. Wang and S.-D. Wang, “Structured Partitioning of Concurrent Pro- 17. C.-M. Wang, C.-C. Hsu, H.-M. Chen and J.-J. Wu, “Efficient Multi-Source
grams for Execution on Multiprocessors,” Parallel Computing, Vol. 16, No. Data Transfer in Data Grids,” Proceedings of the 6th IEEE International Sym-
1, pp. 41-57, November 1990. posium on Cluster Computing and the Grid, pp. 421-424, Singapore, May
研究簡介 Research Description 2. S.-D. Wang and C.-M. Wang, “Compiler Techniques for Extracting Loop- 2006.
Level Parallelism,” Journal of Information Science and Engineering, Vol. 7, 18. Y.-F. Lin, C.-M. Wang and Jan-Jan Wu, “Optimizing I/O Server Placement for
我的研究方向主要在平行與分散式計算領域,特別著重 My research interests lie in the area of parallel and distributed computing with the No. 4, pp. 543-563, December 1991. Parallel I/O on Switch-Based Irregular Networks,” The Journal of Supercom-
puting, pp. 201-217, Vo. 36, No. 3, June 2006.
於大量資料的應用在平行與分散式系統上所需的軟體支 emphasis on software supports and optimization techniques for data-intensive ap- 3. C.-M. Wang and S.-D. Wang, “Efficient Processor Assignment Algorithms
and Loop Transformations for Executing Nested Parallel Loops on Multiproc- 19. D.-R. Chen, C.-C. Hsu and C.-M. Wang, “Scheduling Real-Time Multi-Proc-
援和最佳化技術。我們探討各種電腦叢集和網格環境下 plications on parallel and distributed systems. We have addressed replica and server essors,” IEEE Transactions on Parallel and Distributed Systems, Vol. 3, No. essor Systems with Distance-Constrained Tasks Using the Early-Release-Fair
的資料複本和伺服器的安置問題,並且處理複本安置之 placement problems in various cluster and Grid environments to improve reliability 1, pp. 71-82, January 1992. Model,” IEICE Transactions on Fundamentals of Electronics Communica-
間的轉變問題。我們也研究高效率的演算法,以利用多 and performance of the systems. We have studied replication transition problems so 4. C.-M. Wang and S.-D. Wang, “A Hybrid Scheme for Efficiently Executing tions and Computer Sciences, pp. 3260-3271, Vol. E89-A, No. 11, 2006.
個資料複本和伺服器,來提昇資料傳輸的速度和可靠 that the replica placement can adapt to new user preference and system configura- Nested Loops on Multiprocessors,” Parallel Computing, Vol. 18, No. 6, pp. 20. C.-M. Wang, H.-M. Chen, C.-C. Chang and J.-J. Wu, “A High-Performance
度。藉由這些研究成果,我們設計並實作 Taiwan UniGrid tion. With multiple servers in the systems, we have proposed efficient algorithms 625-637, June 1992. Virtual Storage System for Taiwan UniGrid,” Proceedings of the 2007 In-
ternational Conference on Grid and Pervasive Computing, pp. 27-38, Paris,
上的高效能虛擬儲存系統。同時我們也進行網格環境下 to improve the aggregate bandwidth and reliability of data transfers. Based on the 5. C.-M. Wang, “A New Routing Algorithm for Cyclic Shifts on BRGC Hyper- France, May 2007.
cubes,” Information Processing Letters, Vol. 49, No. 4, pp. 165-169, February
資源管理問題的研究,並且提出以競標為基底的資源選 above results, we have designed and implemented a high-performance virtual stor- 1994. 21. C.-M. Wang, C.-C. Hsu, P. Liu, H.-M. Chen and J.-J. Wu, “Optimizing Server
擇策略。 age system for Taiwan UniGrid. We have also investigated resource management 6. Y.-S. Chen, S.-D. Wang and C.-M. Wang, “Tiling Nested Loops into Maximal Placement in Hierarchical Grid Environments,” The Journal of Supercomput-
problems and proposed bidding based mechanisms for resource selection. Rectangular Blocks,” Journal of Parallel and Distributed Computing, Vol. ing, pp. 267-282, Vo. 42, No. 3, December 2007.
近來我們的研究方向著重在雲端計算。雲端計算是一個 35, No. 2, pp. 123-132, June 1996. 22. P.-C. Shih, H.-M. Chen, Y.-C. Chung, C.-M. Wang, R.-S. Chang, C.-H. Hsu,
擁有遠大前景的新資訊計算典範,將動態可擴展和虛擬 Recently, we focused our attention on cloud computing. Cloud computing is a new K.-C. Huang, and C.-T. Yang, “Middleware of Taiwan UniGrid,” Proceedings
7. C.-C. Hsu, C.-M. Wang and J.-F. Lin, “Efficient Loop Allocation Based on
化的資源,以網際網路服務的方式提供給使用者。雲端 and promising paradigm in which dynamically scalable and often virtualized re- the Analysis of Processor Requirement of Loops with Equivalent Completion of the 23rd Annual ACM Symposium on Applied Computing, pp. 489-493,
Fortaleza, Ceará, Brazil, March 2008.
計算擁有許多的優點,例如:資源分享和可擴展性,減 sources are provided as a service over the Internet. It provides many advantages, Times,” Computer Systems Science and Engineering, Vol. 12, No. 1, pp. 53-
60, January 1997. 23. C.-C. Hsu, C.-M. Wang, and P. Liu, “Optimal Replication Transition Strategy
少資本支出,簡化資訊系統管理,提高資源利用率以及 such as resource sharing and scaling, reduced capital expenditure, simplified IT in Distributed Hierarchical Systems,” Proceedings of the 22nd IEEE Interna-
較高的可靠度。然而雲端計算仍有許多極具挑戰性的問 management, higher resource utilization, and better reliability. However, there are 8. C.-M. Wang, Y. Hou and C.-Y. Ku, “Compiler Techniques for Minimizing tional Parallel and Distributed Processing Symposium, Miami, Florida, USA,
Link Contention of Linear-Constant Communication on k-ary n-cubes,” Jour-
題亟待解決。我們正在進行的研究包括雲端計算的分散 still many challenging issues needs to be explored. Now we are investigating dis- nal of Information Science and Engineering, Vol. 14, No. 1, pp. 53-78, March April 2008.
式檔案系統以及高度互動應用服務的雲端中介軟體。在 tributed file systems for cloud computing and cloud middleware for highly interac- 1998. 24. C.-C. Hsu, P. Liu, and C.-M. Wang, “Heuristic Algorithms for Replication
Transition Problem in the Grid Systems,” Proceedings of the 8th IEEE Inter-
雲端計算的分散式檔案系統方面,由於 GFS 的成功, tive application services. The success of GFS motivates us to explore adaptive data 9. T.-R. Chuang, Y.-S. Kuo and C.-M. Wang, “Non-Intrusive Object Introspec- national Symposium on Cluster Computing and the Grid, pp.492-499, Lyon,
促使我們思考是否針對不同的工作負載和技術環境,採 and storage management for different workloads and technological environments. tion in C++ -- Architecture and Application,” Proceedings of the 20th Interna- France, May 2008.
tional Conference on Software Engineering, pp. 312-321, Kyoto, Japan, April
用不同的資料和儲存管理策略。我們將探討的許多充滿 This demands innovative solutions to challenging issues, such as workload profiling 1998. 25. L.-Y. Ho, P. Liu, C.-M. Wang and J.-J. Wu, “The Development of a Drug
挑戰性的研究課題,例如:工作負載的分析和分群,跨 and clustering, inter-file association, environment benchmarking, data and storage Discovery Virtual Screening Application on Taiwan Unigrid,” Proceedings
10. Y. Hou, C.-M. Wang, C.-Y. Ku and L.-H. Hsu, “Optimal Processor Mapping
文件的關聯性分析,技術環境效能的量測,各種的工作 management strategies for different workloads and environments, on-line monitor- for Linear-Complement Communication on Hypercubes,” IEEE Transactions of the 2008 International Conference on Grid and Pervasive Computing, pp.
38-47, Kunming, China, May 2008.
負載和技術環境下的資料和儲存管理策略,線上監測和 ing and workload classification, and management strategy selection. The popularity on Parallel and Distributed Systems, Vol. 12, No. 5, pp. 514-527, May 2001.
工作負載分類,以及管理策略的選擇。在高度互動應用 of networked virtual environments demands resource-efficient cloud middleware 11. T.-R. Chuang, Y.-S. Kuo and C.-M. Wang, “Non-intrusive Object Introspec- 26. C.-M. Wang, H.-M. Chen, C.-C. Hsu and J. Lee, “Resource Selection Strat-
egies for a CNP-based Resource Management Model,” Proceedings of the
服務的雲端中介軟體方面,由於網路虛擬環境的廣受歡 for highly-interactive application services, with the goal to support massive mul- tion in C++,” Software: Practice and Experience, No. 32, Vol. 2, pp. 191-207, 2008 IEEE Asia-Pacific Services Computing Conference, pp. 458-463, Yilan,
February 2002.
迎,我們極需能支援大量使用者高度互動的雲端中介軟 tiplayer NVEs, improve efficiency and power usage on servers, and guarantee real- Taiwan, December 2008.
12. W.-C. Fang, C.-C. Hsu and C.-M. Wang, “On the Fault-Tolerant Embeddings
體,同時兼顧提高機器效率、改善功率消耗,以及保證 time interactivity. This demands innovative solutions to challenging issues, such as of Complete Binary Trees in the Mesh Interconnection Networks,” Informa- 27. J.-J. Wu, Y.-F. Lin, D.-W. Wang and C.-M. Wang, “Optimizing Server Place-
即時互動。其中充滿挑戰性的研究課題包括虛擬機器的 performance assurance and fairness in virtualization, power/resource management, tion Sciences, Vol. 151, pp. 51-70, May 2003. ment for Parallel I/O in Switch-based Clusters,” Journal of Parallel and Dis-
tributed Computing, Vol. 69, No. 3, pp. 266-281, March 2009.
效能保證和公平性,功率消耗和資源管理,工作負載預 workload prediction, fast live migration, failure handling, in-memory database de- 13. C.-M. Wang, S.-T. Wang, S.-F. Hong and H.-M. Chen, “Experiences in Im- 28. C.-M. Wang, X.-W. Huang and C.-C. Hsu, “Bi-objective Optimization: An
測,虛擬機器的快速遷移,故障處理,記憶體內的資料 sign, and dynamic data partitioning/replication/localization. plementing a Java Collaborative IDE over the Internet,” Journal of Internet Online Algorithm for Job Assignment,” Proceedings of the 2009 Interna-
Technology, pp. 427-436, Vol. 6, No. 4, 2005.
庫設計,以及動態數據分割/複製/本地化等。 tional Conference on Grid and Pervasive Computing, pp. 223-234, Geneva,
14. P. Lee, C.-M. Wang and J.-J. Wu, “Compiler and Run-time Parallelization Switzerland, May 2009.
Techniques for Scientific Computations on Distributed Memory Parallel 29. C.-M. Wang, H.-M. Chen and C.-C. Hsu, “Online Metatask Scheduling Heu-
Computers,” chapter 8 in High Performance Computing: Paradigm and In- ristics for a Bidding-based Distributed System,” Proceedings of the 11th IEEE
frastructure, edited by Laurence T. Yang and Minyi Guo, John Wiley & Sons, International Conference on High Performance Computing and Communica-
Inc., pp. 135-182, 2005.
tions, pp. 11-19, Seoul, Korea, June 2009.
15. C.-M. Wang, S.-F. Hong, S.-T. Wang and H.-M Chen, “A Dual-mode Exer- 30. C.-M. Wang, H.-M. Chen, C.-C. Hsu and J. Lee, “Dynamic Resource Selec-
ciser for a Collaborative Computing Environment,” Journal of Internet Tech- tion Heuristics for a Non-reserved Bidding-based Grid Environment,” Future
nology, pp. 13-21, Vol. 7, No. 1, 2006.
Generation Computer Systems, Vol. 26, No. 2, pp. 183-197, 2010.
16. C.-M. Wang, C.-C. Hsu, P. Liu, H.-M. Chen and J.-J. Wu, “Optimizing Server
Placement in Hierarchical Grid Environments,” Proceedings of the 2006
International Conference on Grid and Pervasive Computing, pp. 1-11, Tai-
chung, Taiwan, May 2006. Among 267 paper submissions, our paper was
selected as one of the four best paper award winners.
58 59