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研究人員｜ Research Faculty

● Associate Research Fellow, IIS, Academia Sinica (2000 - ) Best Paper Award Nomination, ACM/IEEE International Symposium
吳真貞 Jan-Jan Wu ● Assistant Research Fellow, IIS, Academia Sinica (1996 - 2000) on Parallel and Distributed Processing and Applications, Dec. 2004.
● Ph.D., CS, Yale University (1995) Guest Editor for the International Journal of Grid and High Perform-
● M.S., CS, Yale University (1991) ance Computing on the special issue “Advances in Grid and Peer-to-
● Software Engineer, Institute for Information Industry (1987-1989) Peer Communications and Applications”.
副研究員 Associate Research Fellow ● M.S., CSIE, National Taiwan University (1987) Guest Editor for the Journal of Pervasive Computing and Compu-
tation on the special issue “Towards merging Grid and Pervasive
● B.S., CSIE, National Taiwan University (1985)
Ph.D., Computer Science, Yale University Best Paper Award, the 10th International Symposium on Pervasive Computing”.
Systems, Algorithms and Networks, Dec. 2009.
Tel: +886-2-2788-3799 ext. 1610 Best Paper Award, International Conference on Grid and Pervasive
Fax: +886-2-2782-4814 Computing, May 2007.
Email: wuj@iis.sinica.edu.tw Best Paper Award Nomination, International Conference on Grid and
http://www.iis.sinica.edu.tw/pages/wuj Pervasive Computing, May 2007.

代表著作 Publications

1. W.-C. Liao and Jan-Jan Wu, “Replica-Aware Job Scheduling in Dis- 14. Y.-M. Chung, P. Liu and Jan-Jan Wu, “Server Placement in the Pres-
tributed Systems”, International Conference on Grid and Pervasive ence of Competition,” Lecture Notes in Computer Science, Advances
研究簡介 Research Description Computing, May 2010. in Grid and Pervasive Computing, Second International Conference
2. H.-J. Chang, Jan-Jan Wu, P. Liu, “Job scheduling techniques for dis- on Grid and Pervasive Computing, vol. 4459, pp.124-135, 2007.
我的主要研究興趣包括： My current research focuses on resource allocation and job scheduling for data-in- tributed systems with heterogeneous processor cardinality”, Interna- 15. C.-C. Hsu, P. Liu, D.-W. Wang, and Jan-Jan Wu, “Generalized Edge
tensive computation, in-memory and real-time data management for highly inter- tional Symposium on Pervasive Systems, Algorithms and Networks, Coloring for Channel Assignment in Wireless Networks”, Interna-
(1) 資料密集計算之資源配置與工作排程， Dec. 2009. (Best Paper, 1/96 accepted papers) tional Conference on Parallel Processing (ICPP), Ohio, USA, Au-
active Cloud applications, and distributed data management for Cloud computing. gust, 2006.
(2) 支援即時互動式雲端運算應用之資料庫設計、動態資 I believe the performance of data-intensive applications can be improved in three 3. D.-Y. Chen, Jan-Jan Wu, P. Liu, “Data bandwidth-aware job schedul- 16. H.-K. Wang, P. Liu and Jan-Jan Wu, “A QoS-Aware Heuristic Algo-
ing in Grid and Cluster environments”, International Conference on
料分割與複製技術， Parallel and Distributed Systems, Dec. 2009. rithm for Replica Placement”, Grid’2006, Australia, Sept. 2006. (ac-
ways: (1) proper allocation of resources (data servers, data replicas and I/O devices)
(3) 雲端運算之資料管理技術， to increase availability, scalability and efficiency of resource use, (2) efficient data 4. Jan-Jan Wu, Yi.-Fang. Lin, Da.-Wei. Wang, and Chien.-Min. Wang, ceptance rate 18%)
transfer between data site and computing site, and (3) smart data-aware job sched- “Optimizing Server Placement for Parallel I/O in Switch-based Clus- 17. Y.-F. Lin, Z.-H. Kang, P. Liu and Jan-Jan Wu, “An optimal schedul-
(4) 平行與分散式計算， ters”, Journal of Parallel and Distributed Computing (JPDC), Vol.69, ing algorithm for an agent-based multicast strategy on irregular net-
uling to overlap computation with data transfer.
No.3, pp. 266-281, March 2009. (SCI) works,” International Conference on Grid and Pervasive Computing),
(5) 多核平台之虛擬化技術。 LNCS 3947, Taiwan, May 2006. (acceptance rate 24%, Best Paper
In a joint effort with my colleagues, we are developing a resource efficient cloud 5. Jan-Jan Wu, E.-J. Chou and P. Liu, “Computation and Communica-
middleware for highly-interactive networked virtual environments, with the goal to tion Schedule Optimization for Data-sharing Tasks on Uni-Proces- Nomination)
support massive multiplayer online games, save investment on servers and power sors”, Journal of Systems Architecture (JSA), Vol. 55, pp.363-372, 18. P. Liu and Jan-Jan Wu, “Optimal replica placement strategy for hi-
usage, and guarantee real-time interactivity. This demands innovative solutions June, 2009 (SCI) erarchical data grid systems,” International Conference on Cluster
Computing and the Grid (CCGrid), Singapore, May 2006.
to a number of challenging issues, including in-memory database management, 6. L.-W. Chen, Y.-C. Tseng, Y.-C. Wang, Da.-Wei. Wang, and Jan.-Jan.
dynamic data partitioning and localization, and efficient management of common Wu, “Exploiting Spectral Reuse in Routing, Resource Allocation, and 19. Jan-Jan Wu and Yih-Fang Lin, “Efficient Distributed Algorithms for
Scheduling for IEEE 802.16 Mesh Networks”, IEEE Trans. on Ve-
Parallel I/O Scheduling”, IEEE International Conference on Parallel
data queries and updates. hicular Technology, Vol.58, No.1, pp.301-313, Jan. 2009. (SCI) and Distributed Systems, Fukuoka, Japan, July, 2005
In another collaborative effort, Taiwan UniCloud, I am studying Cloud data manage- 7. H.-L. Chen, P. Liu, and Jan-Jan Wu, “A Hybrid Scheduling Algorithm 20. G-S Hsu, P. Liu and Jan-Jan Wu, “I/O Processor Allocation for Mesh
ment that satisfies the following properties: efficiency, scalability, fault tolerance, for Independent Tasks with Unknown Execution Time”, International Cluster Computers”, IEEE International Conference on Parallel and
ability to run in a heterogeneous environment, and ability to interface with existing Conference on High-Performance Computing in Asia-Pacific Region Distributed Systems, Fukuoka, Japan, July, 2005.
(HPC Asia), March, 2009.
database management and data analysis tools. 21. Jan-Jan Wu and P. Liu, “Distributed scheduling of parallel I/O in the
8. Jan-Jan Wu, Yi.-Fang Lin and P. Liu, “Optimal Replica Placement in presence of data replication”, ACM/IEEE International Parallel and
Data Grid Environments with Locality Assurance”, Journal of Par- Distributed Processing Symposium (IPDPS), April, 2005.
allel and Distributed Computing (JPDC), Vol.68, No.12, pp. 1517- 22. Y.-F. Lin, C-.M. Wang, and Jan-Jan Wu, “Optimizing Server Place-
1538, Dec, 2008. (SCI)
ment for Parallel I/O on Switch-Based Irregular Networks”, ACM/
9. Y.-F. Lin and Jan-Jan Wu, “A List-based Strategy for Optimal Replica IEEE International Symposium on Parallel and Distributed Process-
Placement in Data Grid Systems”, the International Conference on ing and Applications, LNCS 3358, Hong Kong, Dec. 2004. (accept-
Parallel Processing (ICPP), 2008. (acceptance rate 31%) ance rate 21%, Best Paper Nomination)
10. L.-Y. Ho, P. Liu, C.-M. Wang and Jan-Jan Wu, “The Development of 23. M.-B. Chen, T.-R. Chuang, Jan-Jan Wu, “Efficient Parallel Im-
a Drug Discovery Virtual Screening Application on Taiwan Unigrid”, plementations of Near-Delaunay triangulation with High Per-
International Conference on Grid and Pervasive Computing, May, formance Fortran”, Concurrency and Computation: Practice and
2008. (acceptance rate 24%.) Experience(CP&E), Vol. 16, No. 6, June 2004.
11. C.-M. Wang, C.-C. Hsu, P. Liu, H-M. Chen, and Jan-Jan Wu,, “Op- 24. Jan-Jan Wu, S.-H. Yeh, and P. Liu, “Efficient Multiple Multicast on
timizing Server Placement for QoS Requirements in Hierarchical Heterogeneous Network of Workstations”, Journal of Supercomput-
Grid Environments,” Lecture Notes in Computer Science, Advances ing, Vol. 29, pp. 59-88, 2004.
in Grid and Pervasive Computing, Second International Conference
on Grid and Pervasive Computing, vol. 4459, pp.181-192, May 2007.
(acceptance rate 26%, Best Paper )
12. Y.-F. Lin, C.-M. Wang, and Jan-Jan Wu, “Optimizing I/O Server
Placement for Parallel I/O on Switch-Based Irregular Networks”, The
Journal of Supercomputing, vol. 36, no. 3, pp.201-217, June, 2006.
13. M.-B. Chen, T.-R. Chuang, and Jan-Jan Wu, “ Parallel Divide-and-
Conquer Scheme for 2D Delaunay triangulation”, Concurrency and
Computation: Practice and Experience(CP&E), 18(12):1595-1612,
Oct. 2006.

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