| Assoc Prof Siew Chee Kheong, David
Associate Professor
Division of Communication Engineering
School of Electrical & Electronic Engineering
College of Engineering
Email: ECKSIEW@ntu.edu.sg
Phone: (+65)6790 6028
Office: S2.2-B2-08 |
| Education |
- PhD Nanyang Technological University 2007
- DIC MSc University of London, Imperial Coll. 1987
- BEng(Hons) University of Singapore 1979
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| Biography |
| C. K. Siew obtained his B. Eng, MSc. and PhD from Univ. of Singapore, Imperial College, U.K. and NTU, Singapore, respectively. In his early professional career, he worked in Telecoms Singapore and Shell Singapore for 6 years before joining academia as a Lecturer in 1986, became a Senior Lecturer in 1989 and appointed Assoc. Prof. in 1999. From 1995 to 2005, he was the Head of Information Communication Institute of Singapore (ICIS). During this period, he managed the transfer of ICIS from National Computer Board to Nanyang Technological University and rebuilt the Institute as an academic unit in the University. He also established industrial-sponsored ICIS scholarships for years 1998 and 1999 for the MSc programme in Communication Software and Networks. Dr. Siew has published about 100 refereed papers that comprise more than 40 journal papers. He had served as technical programme committee member in conferences such as ASIA SIGCOMM Workshop 2005, INFOCOM 2006 and BROADNETS 2006. He also served asmember of National Infocomm Competency Centre Steering Committee, Singapore from year 2000 to 2001. He serves as reviewer for journals such as Transactions on Networking and International Journal of Communication Systems. He visited the Mathematical Science Research Centre, Lucent Bell-Lab in 2004, the DISCO lab., University of Kaiserslautern in 2005, the Centre of Quantifiable Quality of Service, NTNU, Trondhiem in 2005, British Telecoms Research in 2005; and CUBIN, University of Melbourne in 2006. |
| Research Interests |
Research
A/Prof Siew's research interests span three areas: (1) Quality of Service (QoS) Provisioning; (2) Congestion Control; and (3) Application of intelligent control to networking problems. The underlying network could be a wired, wireless or optical network.
(1) While there is no shortage of proposed packet scheduling algorithms, our approach to the problem is slightly different. We are particularly interested in practical issues in search of low computational-complexity fine-granularity scheduling together with admission control that provide per-flow deterministic guarantees using class-based traffic treatment. This work would allow efficient QoS provisioning with specific queueing delay bounds. Our approach is to provide low-complexity service-curve based scheduling and admission control. Using nice properties of service-curves, we are able to avoid packet-by-packet analysis but provide an elegant analysis of the complex end-to-end QoS provisioning. We have recently proposed a low-complexity Flow-state-dependent Dynamic Priority Scheduling (FDPS) algorithm that could provide a service-curve based packet scheduling engine that enables per-flow deterministic guarantees. My recent in-press publication on per-flow QoS using class-based treatment is listed in [2].
(2) My interest in Congestion Control is to improve the Transmission Control Protocol (TCP) fairness and prevent TCP collapse in best-effort networks. It is well-know that TCP performance is highly dependent on Round-trip-time (RTT), an issue that has attracted many investigations. While most existing works attempt to provide solutions at the transport-layer, our approach uses both the features of network-layer and transport-layer. Our recent work [1] demonstrated that our solution could improve TCP fairness by reducing dependence on RTT, and prevent TCP collapse by means of intelligent packet discarding [1]. It has been proven that classical TCP will not be efficient in such high bandwidth-delay product networks. As a result, we are currently interested in providing a comprehensive solution to networks (e.g. Grid computing networks) with high bandwidth-delay product. The issues of max-min fairness and rate of convergence are converging issues for the research.
(3) We are interested to apply intelligent control to network problems would include stochastic QoS guarantees and/or wireless network carrying heterogeneous traffic. These works could involve cross-disciplinary solution using control theory, fuzzy logic or artificial intelligence. The natural progression of such works would be Application-layer QoS provisioning in which cross-layer issues dominate. We are currently interested in applying distributed algorithm for collaborative wireless networks. Solutions are needed for many challenging issues on how rate, delay and access control in this area. |
| Selected Publications |
- CK Siew, S Peng, WQ Luo, P Tang, YT Mo. (2010). International Network Conference 2010: Scalable Distributed-FDPS Algorithm for QoS Provisioning. (pp. 31-40)Heidelberg: 2010 University of Plymouth.
- Wei Xiang, Ce Zhu, Chee Kheong Siew, Yuanyuan Xu, and Minglei Liu F. (2009). EC-Based Two-Dimensional Layered MultipleDescription Coding for Error Resilient H.264/SVC. IEEE Transactions on Circuits and Systems for Video Technology, .
- C. K. Siew, D. Xue, Y. Qin, and J. Schmitt. (2006). Providing deterministic quality of service in slotted optical networks. Optics Express, 14(26), 12679-12692.
- C. K. Siew & M. H. Er. (2006). Multiservice provisioning mechanism with service curves assurance for per-class scheduling delay guarantees. IEE Proceedings-Communications, 153(6), 846-855.
- Chee-Kheong Siew, Gang Feng, Fei Long, and Meng-Hwa Er. (2005). Congestion Control Based on Flow-state-dependent Dynamic Priority Scheduling. IEE Proceedings-Communications, 152(5), 548-558.
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