Track Co-Chairs:
Ruozhou Yu, North Carolina State University, USA, ryu5@ncsu.edu
Huacheng Zeng, Michigan State University, USA, hzeng@msu.edu
Description:
Design of efficient network architectures, algorithms and protocols is one of the fundamental challenges in computer networking. To this end, novel networking techniques and measurement tools are required for advancing today’s complex communication networks. This track provides researchers, industry professionals and practitioners with a forum to present the latest research results in the rapidly evolving areas of network architectures, network algorithms and protocols, and performance evaluation. We solicit original and unpublished research work on theoretical exploration, network design and optimization, system measurement, and any other innovations in computer networks. The topics of this track include but are not limited to:
- Network algorithms
- Network optimization and control
- Network modeling techniques
- Machine learning and big data for networking
- Networking for machine learning and AI
- Federated learning in wireless networks
- Cross-layer network design
- Routing and scheduling
- Network measurements and analysis
- Network traffic and resource management
- Quality-of-service (QoS) metrics, measurement and optimization
- Software-defined and virtualized network architectures
- Energy efficiency and harvesting in networks
- Spectral efficiency of wireless networks
- Network reliability and survivability
- Mobility management and modeling
- Network simulation
- Testbed and experiments
- NextG cellular, WiFi and vehicular networks
- Wireless IoT networks
- UAV networks
- Terrestrial and satellite networks
- Optical networks
- Network coding
- Network calculus
- Network configuration and misconfiguration diagnosis
- Cloud, data center, and edge networks
- Blockchain network architecture, algorithms and protocols
- Peer-to-peer network architecture, algorithms and protocols
- Content-centric networking and in-network storage
- Ali Benzerbadj, University of Ain Temouchent, Algeria
- Li Chen, University of Louisiana at Lafayette, USA
- Xianfu Chen, VTT Technical Research Centre of Finland, Finland
- Song Fang, University of Oklahoma, USA
- Zhishan Guo, NC state university, USA
- Tao Han, New Jersey Institute of Technology, USA
- Laazia Lahlou, Ecole de technologie superieure, Canada
- Tianxing Li, Michigan State University, USA
- Shaoran Li, Virginia Tech, USA
- Shih-Chun Lin, Georgia Institute of Technology, USA
- Yuchen Liu, North Carolina State University, USA
- Qiang Liu, University of Nebraska-Lincoln, USA
- Qingyu Liu, Virginia Tech, USA
- Sharan Naribole, Apple Inc., USA
- Yi Shi, Intelligent Automation, Inc., USA
- Hao Wang, Louisiana State University, USA
- Fangxin Wang, The Chinese University of Hong Kong, Shenzhen, China
- Yubo Wu, Virginia Tech, USA
- Wen Wu, Peng Cheng Laboratory, China
- Dejun Yang, Colorado School of Mines, USA
- Qiang Ye, Memorial University of Newfoundland, Canada
- Xiaonan Zhang, Florida State University, USA
- Shangqing Zhao, University of Oklahoma, USA