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NetSoft 2026: IEEE Conference on Network Softwarization

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NetSoft
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截稿日期:
2026-01-12
通知日期:
2026-03-23
会议日期:
2026-06-29
会议地点:
Berlin, Germany
届数:
12
ICORE: B   浏览: 34561   关注: 11   参加: 1

会伴指数 (CP-I)

66.1 / 100
全站第 400 名 / 共 5,655 个会议 · 前 8%
学术认可 (35%)
72
投稿选择性 (20%)
58
会议传承 (20%)
69
社区关注 (10%)
34
资料公开度 (15%)
80

用到的输入: 收录等级：ICORE B · 录用率：46.6%（有记录的 5 届的均值） · 有据可查的届次：12 · 在会伴关注它的研究者：11 人 · 过去 24 个月打开过本页的研究者：3 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 2026-09-09

征稿

NetSoft 2026 (IEEE Conference on Network Softwarization) is a ICORE B conference held in Berlin, Germany on 2026-06-29. The paper submission deadline is 2026-01-12. Acceptance notifications are sent on 2026-03-23.

Topics of Interest The conference is soliciting paper submissions with significant research contributions to network softwarization. The topics of interest include, but are not limited to: Architecture and Infrastructure AI-native 5G/6G and beyond architecture Future Internet and New IP architecture Internet re-engineering Network softwarization for non-terrestrial and terrestrial integration Quantum-safe and post-quantum networking architectures Softwarized cloud, fog, and edge infrastructures Softwarized Networks for Data Centers and AI/ML infrastructures Abstractions and virtualization of resources, services, and functions Cooperative multi-domain, multi-tenant environments Networking Technologies and Protocols Programmable networking languages and architectures Software Defined Radio (SDR) and cognitive radio networks Programmable Networking Protocols Programmable data planes with AI acceleration Network slicing and slice management Service Function Chaining (SFC) Policy-based and Intent-based networking Dynamic resource discovery and negotiation schemes Deterministic or dependable networking High-precision communications and computing Artificial Intelligence (AI) and Machine Learning (ML) for Networks AI and ML techniques Applications of Generative AI Agentic AI and Multi-Agent Systems Distributed learning and collaborative inference with different scale softwarized networks Cognitive and autonomic networking Autonomous networks enabled with softwarization Explainable and trustworthy AI for network autonomy Self-organizing, self-healing, and self-optimizing softwarized networks Performance, Security, Dependability, and Sustainability QoS and QoE Assurance and Measurements Resilience, reliability, and robustness Security, Ethics, Safety, Trust, and Privacy Sustainability, energy efficiency, and carbon footprint Services, Operations, and Applications Internet of Things (IoT) Digital twins eXtended Reality (AR/VR/ER) Experience reports from experimental testbeds and deployments Development methodologies (DevOps, NetOps, Verification) Open source New value chains and service models Sovereign digital services and cross-border compliance in softwarized environments Deployment and transition strategies Socio-economic impact and regulations
由 Dou Sun 最后更新于

录用率

平均录用率: 46.6% 5 年间 (2015–2019).

年份提交数录用数录用率(%)
20191034139.8%
20181034947.6%
2017864248.8%
20161075652.3%
20151084844.4%

最佳论文

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CCF全称影响因子出版商ISSN
IEEE Network6.3IEEE0890-8044
IEEE Transactions on Control of Network Systems5.0IEEE2372-2533
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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