CNC 2026
International Workshop on
Cloud-Network Convergence
In Conjunction with IEEE International Conference on Computer Communications (INFOCOM 2026)
May 18, 2026
Tokyo, Japan
About CNC 2026
The Cloud-Network Convergence (CNC) is a critical step towards realizing the full potential of the Artificial Intelligence (AI), Internet of Things (IoT), edge computing, and the next wave of digital transformation. The core of CNC is to develop a framework that enables seamless interaction between cloud services and networks, facilitating faster and more reliable access to resources. The proposed initiative will address the challenges of adapting cloud architectures to support the unique requirements of network technologies. It will also explore the potential for network innovations to revolutionize cloud service delivery, emphasizing low latency, high bandwidth, and ubiquitous coverage. Key areas of focus will include network resource optimization, protocols for cloud access, and scalable solutions to support the growing demand for cloud-connected applications and services.
Committees
Workshop Chairs
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Jie Wu, Temple University, USA
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Eyuphan Bulut, Virgina Commonwealth University, USA
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Falko Dressler, TU Berlin, Germany
Technical Program Committee
TBD
Web and Submission Chair
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Shen Gao, China Telecommuncations, China
Topics
Original, unpublished contributions are solicited in all aspects of Cloud-Network Convergence from theory to systems and applications. Topics of interest include, but are not limited to:
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Scheduling and orchestration of cloud and network resource
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Operation of cloud and network systems
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Data Center Network and SD-WAN
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Convergence of IoT network, wireless network and optical network
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Network protocols
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Edge computing for network services
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Cloud native for network services
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AI/ML for Cloud-Network Convergence
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Cloud-Network Convergence for AI/ML
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Security of Cloud-Network Convergence
Paper Submission
All submissions should be written in English with a maximum length of 6 single-spaced, double-column pages using 10pt fonts on 8.5 x 11 inch paper, including all figures, tables, and references, in PDF format. The IEEE template available here.
Please follow the submission link on https://edas.info/N34640 to submit your paper.
Important Dates
Abstract Registration: December 22, 2025 (AoE)
Paper Submission: December 29, 2025 (AoE)
Notification of Acceptance: February 2, 2026 (AoE)
Camera Ready Version: February 16, 2026 (AoE)
Program
TBD
Contact
For more information, please send an email on CNC 2026 to jiewu@temple.edu , ebulut@vcu.edu and dressler@ccs-labs.org.
Supporters
This workshop is supported by
