In recent years, communication networks have evolved into critical infrastructure, enabling ubiquitous connectivity for massive terminals and command dissemination. They not only support consumer applications such as AR/VR, online gaming, and streaming but also facilitate industrial services like smart manufacturing, autonomous driving, and telemedicine. However, the current network development paradigm faces significant challenges in flexibility, scalability, differentiated service provisioning, mobility support, global operation and maintenance (O&M), and security assurance. These limitations hinder the ability to meet the diverse and specialized demands of emerging applications, including human-machine-IoT intelligent networking, all-time and space-time casual access, service performance guarantees, security and quantifiable design and verification, network big data, and distributed network computing. To fully realize next-generation networking, these challenges must be addressed through innovative architectural and algorithmic advancements.
The Polymorphic Network (PN) is an emerging paradigm in network architecture. Its ultimate objective is to achieve unified control and dynamic scheduling of both forwarding behavior and heterogeneous resources across the entire network. Building upon existing programmable networking techniques, PN extends and enhances their capabilities. Unlike the traditional IP-based Internet, PN evolves into a next-generation network system that supports the coexistence and evolution of diverse networking paradigms—such as IP, NDN, and MobilityFirst—enabling tailored solutions for specific application requirements. Furthermore, PN expands programmability beyond the conventional "resolution + matching + action" model to incorporate additional dimensions, including computation, storage, and forwarding, thereby enabling a fully customizable and definable network environment.
This workshop invites submissions on the fundamental theory, design principles, implementations, industrial applications, and operational insights of PNs. In addition to traditional paper presentations, the program will feature keynote speeches from leading academics to highlight cutting-edge advancements and help shape future research directions.
We welcome submissions on all aspects of polymorphic networks. Technical topics of interest include but are not limited to the following:
- Fundamental Theories of Polymorphic Networks
- Network Architecture of Polymorphic Networks
- Polymorphic Network Applications
- Polymorphic Network Testing
- Polymorphic Intelligent Computing Network
- Endogenous Security for Polymorphic Networks
- Traffic Engineering
- Queue Scheduling
- Buffer Management
- Table Lookup
- Formal Verification
- Congestion Control
- Network Monitoring and Detection
- Network Power-efficiency
Submission Instructions
Submissions must be original, unpublished work and not under consideration at another conference or journal. Submitted papers must be at most six pages long, including all figures, tables, references, and appendices in two-column 10pt ACM format. Papers must not include author names and affiliations for double-blind peer reviewing by the PC. Authors of accepted submissions are expected to present and discuss their work at the workshop.
Please submit your paper via https://conext25-pn.hotcrp.com/u/0/.
Important Dates
- Paper submissions deadline: July 28th, 2025
- Paper acceptance notification: September 12th, 2025
- Camera ready due: October 8th, 2025
Organizers
Program Chairs:
- Yuxiang Hu (National Digital Switching System Engineering and Technological Research Center of China)
- Chenren Xu (Peking University)
- Zehua Guo (Beijing Institute of Technology)
TPC members:
- Le Tian (National Digital Switching System Engineering and Technological Research Center of China)
- Pengshuai Cui (National Digital Switching System Engineering and Technological Research Center of China)
- Zuqing Zhu (University of Science and Technology of China)
- Quan Zheng (University of Science and Technology of China)
- Quanming Yao (Tsinghua University)
- Tao Zou (Zhejiang Lab)
- Huifeng Zhang (Zhejiang Lab)
- Wei Huangfu (University of Science and Technology Beijing)
- Qiao Xiang (Xiamen University)
- Wei Su (Beijing Jiaotong University)
- Jin Zhang (Purple Mountain Laboratories)
- Chaowei Tang (Chongqing University)
- Yu Wang (Songshan Laboratory)
- Gang Sun (University of Electronic Science and Technology of China)