会議情報

CoNEXT 2026: International Conference on emerging Networking EXperiments and Technologies

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CoNEXT
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投稿締切日:
2026-05-29
通知日:
2026-09-11
開催日:
2026-12-07
開催地:
Utrecht, The Netherlands
開催回数:
22
CCF: B   ICORE: A   QUALIS: B1   閲覧: 146842   フォロー: 178   参加: 17

会伴インデックス (CP-I)

86.2 / 100
全 5,682 件中 第 117 位 · 上位 3%

ネットワーク・通信 分野 864 件中 第 17 位

学術的評価 (35%)
88
投稿の選択性 (20%)
92
開催回数 (20%)
84
コミュニティの注目度 (10%)
81
公開情報の充実度 (15%)
80

使用した入力: 収録ランク：CCF B, ICORE A, QUALIS B1 · 採択率：19%（記録のある 5 回の平均） · 確認できる開催回数：22 · 会伴でフォローしている研究者：178 人 · 過去 24 か月にこのページを開いた研究者：65 人

公開情報で不足しているもの: 過去の開催回 (+3.0)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 100% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-16

論文募集

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).
最終更新：Dou Sun（）

採択率

平均採択率: 19.2% 16 年間 (2005–2020).

年投稿数採択数採択率(%)
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%

ベストペーパー

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.7Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
BJournal of Systems and Software3.8Elsevier0164-1212
BInformation Processing & Management6.9Elsevier0306-4573
BIEEE Transactions on Robotics10.5IEEE1552-3098

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