会议信息

CoNEXT 2026: International Conference on emerging Networking EXperiments and Technologies

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CoNEXT
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截稿日期:
2026-05-29
通知日期:
2026-09-11
会议日期:
2026-12-07
会议地点:
Utrecht, The Netherlands
届数:
22
CCF: B   ICORE: A   QUALIS: B1   浏览: 146839   关注: 178   参加: 17

会伴指数 (CP-I)

86.2 / 100
全站第 117 名 / 共 5,682 个会议 · 前 3%

网络与通信 第 17 / 864

学术认可 (35%)
88
投稿选择性 (20%)
92
会议传承 (20%)
84
社区关注 (10%)
81
资料公开度 (15%)
80

用到的输入: 收录等级：CCF B, ICORE A, QUALIS B1 · 录用率：19%（有记录的 5 届的均值） · 有据可查的届次：22 · 在会伴关注它的研究者：178 人 · 过去 24 个月打开过本页的研究者：65 人

公开资料里还缺: 历届信息 (+3.0)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-16

征稿

CoNEXT 2026 (International Conference on emerging Networking EXperiments and Technologies) is a CCF B / ICORE A / QUALIS B1 conference held in Utrecht, The Netherlands on 2026-12-07. The paper submission deadline is 2026-05-29. Acceptance notifications are sent on 2026-09-11.

The Proceedings of the ACM on Networking (PAMCNET) journal is seeking papers containing significant and novel research results on emerging computer networks and its applications. All accepted papers will also be presented in the ACM CoNEXT 2026 conference. This is a new model that strives to combine the benefits of both conference and journal-based publication. The ACM transition to all publications in Open Access ensures that everyone can freely access and benefit from the papers, increasing their visibility and impact. To help authors cover eventual APC fees, both ACM and SIGCOMM have put in place discounts and waivers. More information can be found here. We especially encourage submissions that present novel experimentation, creative use of networking technologies, and new insights made possible using analysis. We invite submissions on a wide range of networking topics. The list of topics includes (in alphabetical order): Content distribution and caching, e.g., CDN, peer-to-peer, overlays Design, analysis, and evaluation of network architectures Experience and lessons learned by deploying large-scale networked systems Experience with applying machine learning, large language models (LLMs) and generative AI to networking problems In-network computing, NFV and network programmability Innovative uses of network data beyond communication Network measurements and modeling Internet economics and policy Mobile and wireless network protocols and applications Machine learning as applied to all layers of networking Networked applications including XR, web, video, and online social networks Network and systems for AI Network aspects of datacenters, cloud computing, operating systems, virtualization Network aspects of IoT Network control and management, including SDN Network, transport, and application-layer protocols Next generation mobile networks Reliability and availability of networks, protocols, and applications Reproducibility of networking research Routing and traffic engineering Security and privacy aspects of network applications, protocols and systems Sustainable (e.g., energy-efficient, carbon-efficient) computing and networking We are open to other contributions that stretch networking research outside of these topics, present new emerging computing trends, or potentially involve unfamiliar techniques. We welcome experience submissions that clearly articulate lessons learned, as well as submissions that refute prior published results. We emphasize that the focus of CoNEXT is networking and its impact on networked applications. For example, papers focusing on the wireless physical layer without considering the impact on the network (e.g., quantitative performance benefits, deployment challenges) are out of scope. Similarly, contributions that focus on improvements and applications of AI models are welcome if they present a critical and in-depth analysis of the advantages and disadvantages of the proposed solutions, with a clear take-home message from a networking perspective. Potential authors who are unsure of the scope are encouraged to contact the PC chairs before submission. The CoNEXT conference will present all papers that have been accepted to appear in the Proceedings of the ACM on Networking (PAMCNET). There are two deadlines to submit your work in time for a presentation at the conference (see below).
由 Dou Sun 最后更新于

录用率

平均录用率: 19.2% 16 年间 (2005–2020).

年份提交数录用数录用率(%)
20201684225%
20191903216.8%
20181853217.3%
20172224018%
20161993517.6%
20151964120.9%
20141873719.8%
20132264419.5%
20121763117.6%
20111593018.9%
20101472819%
20091702917.1%
20081662917.5%
20071382820.3%
2006861922.1%
20051102119.1%

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