Computing and Network Convergence (CNC)

Overview

Computing and Network Convergence (CNC) has become a populart topic in the information and communication technology industry in recent years. It aims to achieve convenient and efficient access to computing power by jointly optimizing and scheduling computing and network resources. The implementation of joint optimization and scheduling requires a brand new architecture design, which can provide ubiquitous and guaranteed service level agreements (SLA) in terms of connectivity and computing resource supply. With the development of AI technology, the demand for collaborative utilization of various resources, such as computing and storage, is becoming increasingly urgent. CNC can efficiently coordinate various resources, providing guarantees for AI training and inference businesses in terms of network transmission, computing power scheduling and load balancing, maximizing resource utilization while minimizing energy consumption.

This workshop will cover theories, technologies and applications related to CNC, including but not limited to architectures, protocols, platforms, techniques and services. The main research includes CNC scheduling and orchestration, computing and network resource identification, addressing, perception, measurement, and in-network computing. It covers both fixed and cellular wireless networks.

Workshop Program

Call for Papers

The deep convergence of computing and network resources has become a key engine driving the development of future technologies, such as artificial intelligence, big data, and cloud computing. To explore the cutting-edge technologies, innovative applications, and future trends in the field of computing and network convergence (CNC), we sincerely invite you to attend CNC workshop. We are also soliciting high-quality papers and practical cases globally.

Topics of Interest

• 5G-A/6G network integrated with computing service
• AI Training and Inference Network
• Computing aware network routing
• Computing/cloud and network convergence architecture
• Coordination scheduling of cloud, network, edge, and terminal
• Computing and network resource identification and addressing
• Digital twin network for CNC
• Energy optimization and green low-carbon technologies of CNC
• Integrated sensing, communication and computing
• In-network computing
• Measurement of computing resources and green computing
• Performance evaluation and testing technology for CNC
• Security and privacy protection for computing/cloud and network convergence
• Service, computing and network resource awareness
• Transaction and incentive mechanism of computing resources

Submission Instructions

Submissions must be original, unpublished work, and not under consideration at another conference or journal. Submitted papers must be at most six (6) pages long, excluding references and appendices, in two-column 10pt ACM format. All submissions will undergo a strict double-blind peer review process. Authors of accepted submissions are expected to present and discuss their work at the workshop.

Please Submit your paper via https://conext25cnc.hotcrp.com/

Important Dates

WorkShop Chairs

• Tao Sun, China Mobile
• Tian Pan, Beijing University of Posts and Telecommunications
• Tsang Yolanda, ASTRI

Technical Program Committee

• Moustafa, Hassnaa, Intel
• Deyun Gao, Beijing Jiaotong University
• Ran Pang, China Unicom
• Alex Hsu, MTK
• Peirui Cao, Nanjing University
• Lei Han, Nanjing University of Posts and Telecommunications
• Ruifeng Li, China Mobile
• Junchen Jiang, University of Chicago
• Weifei Wu, Peking University
• Haoyu Song, Futurewei Technologies
• Yang Xu, Fudan University
• Tong Yang, Peking University
• Changgang Zheng, University of Oxford
• Lin He, Tsinghua University
• Yang Song, Alibaba Cloud
• Keqiang He, Shanghai Jiaotong University
• Hao Li, Xi'an Jiaotong University
• Fuliang Li, Northwestern University