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Chao Xu 0017

dblp:79/1442-17 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2024
0009-0004-0099-2609ORCID · verified

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

Computer networks · 3 · 3 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
3 papers
Cloud and datacenter computing · 66% Interconnection networks and networks-on-chip · 21% Hardware accelerators and domain-specific architectures · 13%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
datacenter network
1.422024
Triton: A Flexible Hardware Offloading Architecture for Accelerating Apsara vSwitch in Alibaba Cloud · SIGCOMM 2024
Poster: Triton: Accelerating vSwitch with Flexibility through Hardware Assisting not Bypassing Software · SIGCOMM 2023
Cloud and datacenter computing
cloud networking
0.712023
Achelous: Enabling Programmability, Elasticity, and Reliability in Hyperscale Cloud Networks · SIGCOMM 2023
Interconnection networks and networks-on-chip
network reliability
0.712023
Achelous: Enabling Programmability, Elasticity, and Reliability in Hyperscale Cloud Networks · SIGCOMM 2023
Hardware accelerators and domain-specific architectures
network function acceleration
0.422024
Triton: A Flexible Hardware Offloading Architecture for Accelerating Apsara vSwitch in Alibaba Cloud · SIGCOMM 2024
Poster: Triton: Accelerating vSwitch with Flexibility through Hardware Assisting not Bypassing Software · SIGCOMM 2023

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

hardware-software co-design · 0.8network virtualization · 0.7hardware offloading · 0.7
YearPublicationVenuePosition
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
SIGCOMM7
2023 Poster: Triton: Accelerating vSwitch with Flexibility through Hardware Assisting not Bypassing Software
abstract
The vSwitch, as a critical component for Virtual Machine (VM) network connectivity in cloud environments, has prompted increasing attention towards its forwarding performance. While software optimization schemes have limitations in meeting the expanding network capacity demands [11, 12, 15, 17, 18], hardware offloading architectures leveraging SoC, FPGA, and ASIC have been proposed to transfer the match-action workload [1, 3, 6, 7, 13, 16], addressing the growing need for network capacity.
Xing Li 0007, Xiaochong Jiang, Lilong Chen, Tianyu Xu 0007, Chao Xu 0017, Longbiao Xiao, Fengmin Shi, Yi Wang 0004, Taotao Wu, Yilong Lv, Hangfeng Gao, Yisong Qiao, Hongwei Ding 0004, Yijian Dong, Chengkun Wei, Shunmin Zhu, Wenzhi Chen
SIGCOMM6
2023 Achelous: Enabling Programmability, Elasticity, and Reliability in Hyperscale Cloud Networks
abstract
Cloud computing has witnessed tremendous growth, prompting enterprises to migrate to the cloud for reliable and on-demand computing. Within a single Virtual Private Cloud (VPC), the number of instances (such as VMs, bare metals, and containers) has reached millions, posing challenges related to supporting millions of instances with network location decoupling from the underlying hardware, high elastic performance, and high reliability. However, academic studies have primarily focused on specific issues like high-speed data plane and virtualized routing infrastructure, while existing industrial network technologies fail to adequately address these challenges.
Chengkun Wei, Xing Li 0007, Xiaochong Jiang, Tianyu Xu 0007, Taotao Wu, Chao Xu 0017, Yilong Lv, Haifeng Gao, Zeke Wang, Shunmin Zhu, Wenzhi Chen
SIGCOMM8