Shouxi Luo

I am an Associate Professor with the School of Computing and Artificial Intelligence, Southwest Jiaotong University. Currently, I am working on building flexible and performance-optimized network protocols for emerging networked systems/applications like distributed machine learning and serverless computing.

Prior to joining Southwest Jiaotong University, I was an engineer working on cloud storage systems at Huawei for one year. I obtained my Ph.D. degree in communication and information system from the University of Electronic Science and Technology of China in 2016. During my PhD, I also spent one year at ETH Zurich working with Prof. Laurent Vanbever. Before that, I earned my bachelor's degree in communication engineering from the University of Electronic Science and Technology of China in 2011.

To contact me, drop me an email at what at what .

Selected Publications [Google Scholar, ResearchGate]

• Meeting Coflow Deadlines in Data Center Networks with Policy-based Selective Completion
Shouxi Luo, Pingzhi Fan, Huanlai Xing, and Hongfang Yu
IEEE/ACM Transactions on Networking, 2022
• Eliminating Communication Bottlenecks in Cross-Device Federated Learning with In-Network Processing at the Edge
Shouxi Luo, Pingzhi Fan, Huanlai Xing, Long Luo, and Hongfang Yu
Proc. of IEEE ICC, 2022
• Fast Parameter Synchronization for Distributed Learning with Selective Multicast
Shouxi Luo, Pingzhi Fan, Ke Li, Huanlai Xing, Long Luo, and Hongfang Yu
Proc. of IEEE ICC, 2022
• Softwarized IP Multicast in the Cloud
Shouxi Luo, Huanlai Xing, and Pingzhi Fan
IEEE Network, 2021
• Efficient File Dissemination in Data Center Networks with Priority-based Adaptive Multicast
Shouxi Luo, Hongfang Yu, Ke Li, and Huanlai Xing
IEEE Journal on Selected Areas in Communications, 2020
• Efficient Multisource Data Delivery in Edge Cloud With Rateless Parallel Push
Shouxi Luo, Tie Ma, Wei Shan, Pingzhi Fan, Huanlai Xing, and Hongfang Yu
IEEE Internet of Things Journal, 2020
• Selective Coflow Completion for Time-sensitive Distributed Applications with Poco
Shouxi Luo, Pingzhi Fan, Huanlai Xing, and Hongfang Yu
Proc. of 49th ICPP, 2020
• Near-Optimal Multicast Tree Construction in Leaf-Spine Data Center Networks
Shouxi Luo, Huanlai Xing, and Ke Li
IEEE Systems Journal, 2019
• Customizable network update planning in SDN
Shouxi Luo, Hongfang Yu, Long Luo, and Lemin Li
Journal of Network and Computer Applications, 2019
• Swing State: Consistent Updates for Stateful and Programmable Data Planes
Shouxi Luo, Hongfang Yu, and Laurent Vanbever
Proc. of SOSR, 2017
• Towards Practical and Near-Optimal Coflow Scheduling for Data Center Networks
Shouxi Luo, Hongfang Yu, Yangming Zhao, Sheng Wang, Shui Yu, and Lemin Li
IEEE Transactions on Parallel and Distributed Systems, 2016
• Arrange your network updates as you wish
Shouxi Luo, Hongfang Yu, Long Luo, and Lemin Li
Proc. of 15th IFIP Networking, 2016 (Best paper award)
• Decentralized deadline-aware coflow scheduling for datacenter networks
Shouxi Luo, Hongfang Yu, and Lemin Li
Proc. of IEEE ICC, 2016
• Practical flow table aggregation in SDN
Shouxi Luo, Hongfang Yu, and Lemin Li
Computer Networks, 2015
• Consistency is Not Easy: How to Use Two-Phase Update for Wildcard Rules?
Shouxi Luo, Hongfang Yu, and Lemin Li
IEEE Communications Letters, 2015
• Minimizing average coflow completion time with decentralized scheduling
Shouxi Luo, Hongfang Yu, Yangming Zhao, Bin Wu, Sheng Wang, and Lemin Li
Proc. of IEEE ICC, 2015
• Traffic-aware VDC embedding in data center: A case study of fattree
Shouxi Luo, Hongfang Yu, Lemin Li, Dan Liao, and Gang Sun
China Communications, 2014
• Fast incremental flow table aggregation in SDN
Shouxi Luo, Hongfang Yu, and Lemin Li
Proc. of ICCCN, 2014

Code:

  1. CREW, an efficient partial reduce execution scheme for fully connected workers, paper, code