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Chao Wang 0128

dblp:188/7759-128 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0004-5123-7371ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 77% Hardware accelerators and domain-specific architectures · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
datacenter network
0.812024
Triton: A Flexible Hardware Offloading Architecture for Accelerating Apsara vSwitch in Alibaba Cloud · SIGCOMM 2024
Hardware accelerators and domain-specific architectures
network function acceleration
0.212024
Triton: A Flexible Hardware Offloading Architecture for Accelerating Apsara vSwitch in Alibaba Cloud · SIGCOMM 2024

Methods — techniques the papers use, named apart from their topics

hardware-software co-design · 0.8
YearPublicationVenuePosition
2025 Understanding the Long Tail Latency of TCP in Large-Scale Cloud Networks
Enge Song, Bo Jiang 0003, Yang Song 0031, Yuke Hong, Yilong Lv, Yinian Zhou, Junnan Cai, Chao Wang 0128, Yi Wang 0004, Yehao Feng, Shize Zhang, Xiaoqing Sun, Jianyuan Lu, Xing Li 0007, Biao Lyu, Zhigang Zong, Shunmin Zhu
APNet10
2024 Triton: A Flexible Hardware Offloading Architecture for Accelerating Apsara vSwitch in Alibaba Cloud
abstract
Apsara vSwitch (AVS) is a per-host deployed forwarding component for instance network connectivity in the Alibaba Cloud. To meet the growing performance demands, we accelerated AVS by adopting the most widely used "Sep-path" offloading architecture, which introduces a separate hardware data path to speed up popular traffic. However, the deployment results prove that it is difficult to bridge the gap in performance and programming flexibility of the software and hardware data paths, resulting in unpredictable performance and low iteration velocity.
Xing Li 0007, Xiaochong Jiang, Lilong Chen, Yi Wang 0004, Chao Wang 0128, Chao Xu 0017, Yilong Lv, Taotao Wu, Haifeng Gao, Yisong Qiao, Hongwei Ding 0004, Yijian Dong, Jianming Song, Jianyuan Lu, Chengkun Wei, Wenzhi Chen, Qinming He, Shunmin Zhu
SIGCOMM6