H
Hung-Hsiang Jonathan Chao
Researcher at New York University
Publications - 171
Citations - 5873
Hung-Hsiang Jonathan Chao is an academic researcher from New York University. The author has contributed to research in topics: Network packet & Packet switching. The author has an hindex of 44, co-authored 170 publications receiving 5819 citations. Previous affiliations of Hung-Hsiang Jonathan Chao include Gradiant (Galician Research and Development Center in Advanced Telecommunications) & Telcordia Technologies.
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Journal ArticleDOI
Next generation routers
TL;DR: Several algorithms/architectures to implement IP route lookup, packet classification, and switch fabrics can be implemented with emerging network processors that have the advantages of providing flexibility to new applications and protocols, shortening the design cycle and time-to-market, and reducing the implementation cost by avoiding the ASIC approach.
Proceedings ArticleDOI
CIXB-1: combined input-one-cell-crosspoint buffered switch
TL;DR: This work proposes a novel architecture: a combined input-one-cell-crosspoint buffer crossbar (CIXB-1) with virtual output queues (VOQs) at the inputs and round-robin arbitration that can provide 100% throughput under uniform traffic.
Journal ArticleDOI
On end-to-end architecture for transporting MPEG-4 video over the Internet
Dapeng Wu,Yiwei Thomas Hou,Wenwu Zhu,Hung-Ju Lee,Tihao Chiang,Ya-Qin Zhang,Hung-Hsiang Jonathan Chao +6 more
TL;DR: Simulation results show that the end-to-end transport architecture achieves good perceptual picture quality for MPEG-4 video under low bit-rate and varying network conditions and efficiently utilizes network resources.
Proceedings ArticleDOI
Packetscore: statistics-based overload control against distributed denial-of-service attacks
TL;DR: A key idea is to prioritize packets based on a per-packet score which estimates the legitimacy of a packet given the attribute values it carries, and perform score-based selective packet discarding where the dropping threshold is dynamically adjusted based on the score distribution of recent incoming packets.
Journal ArticleDOI
PacketScore: a statistics-based packet filtering scheme against distributed denial-of-service attacks
TL;DR: In this paper, a DDoS defense scheme that supports automated online attack characterizations and accurate attack packet discarding based on statistical processing is introduced, where the key idea is to prioritize a packet based on a score which estimates its legitimacy given the attribute values it carries.