会议信息

NOMS 2027: IEEE/IFIP Network Operations and Management Symposium

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截稿日期:
2026-11-09 还有 31 天
通知日期:
2027-01-15
会议日期:
2027-05-10
会议地点:
Montreal, Quebec, Canada
届数:
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ICORE: B   QUALIS: A2   浏览: 65996   关注: 38   参加: 7
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NOMS
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会伴指数 (CP-I)

85.7 / 100
全站第 123 名 / 共 5,694 个会议 · 前 3%

网络与通信 第 19 / 865

学术认可 (35%)
92
投稿选择性 (20%)
78
会议传承 (20%)
100
社区关注 (10%)
53
资料公开度 (15%)
85

用到的输入: 收录等级：ICORE B, QUALIS A2 · 录用率：30.6%（有记录的 5 届的均值） · 有据可查的届次：40 · 在会伴关注它的研究者：38 人 · 过去 24 个月打开过本页的研究者：9 人

公开资料里还缺: 最佳论文记录 (+2.3)
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 2026-10-09

征稿

NOMS 2027 (IEEE/IFIP Network Operations and Management Symposium) is a ICORE B / QUALIS A2 conference held in Montreal, Quebec, Canada on 2027-05-10. The paper submission deadline is 2026-11-09. Acceptance notifications are sent on 2027-01-15.

The 2027 IEEE/IFIP Network Operations and Management Symposium (NOMS 2027) will be held 10–14 May 2027, in Montreal, Canada. NOMS 2027 will be the 40th edition of the world's premier international conference in the field of network and service management. First organized in 1988, NOMS follows the 4-decade tradition of NOMS and IM as the IEEE Communications Society’s primary forum for technical exchange on network and service management, focusing on research, development, integration, standards, service provisioning, and user communities. NOMS 2027 seeks original contributions that address recent developments and technical solutions for the management of emerging and future networks and services. The NOMS 2027 program will feature a rich set of sessions, including keynotes, tutorials, technical sessions, experience sessions, demos, posters, panels, and dissertation sessions. TOPICS OF INTEREST Authors are invited to submit papers that fall into or are related to the following topics of interest: Management of Networks IP Networks Wireless and Cellular Networks 5G network and Beyond (6G) Quantum Networks Optical Networks Virtual Networks and SDN Home and Access Networks Fog, Edge and Cloud Networks Enterprise and Campus Networks Data Center Networks Industrial Networks Vehicular and Autonomous Systems Networks IoT, Sensor and M2M Networks Information-Centric Networks Mission Critical Networks Management of Services Multimedia and Immersive Media Services Over-The-Top Services Content Delivery Services Cloud Computing, Edge Services, and Computing Continuum Internet Connectivity and Internet Access Services Internet of Things Services Security and Privacy Services Context-Aware Services Information Technology Services Service Assurance Management of AI Workloads and Services Economic Aspects Multi-Stakeholder Aspects Service Level Agreements Lifecycle, Process, and Workflow Management Legal, Regulatory, and Compliance Perspectives Privacy Aspects Organizational Aspects Functional Areas Fault Management Configuration Management Accounting Management Performance Management Security Management Management Paradigms Centralized, Hierarchical and Distributed Management Integrated Management Federated Management Autonomic and Cognitive Management Policy- and Intent-Based Management Model-Driven Management Proactive Management Energy-aware Management QoE-Centric Management Zero-Touch and Self-Driving Networks Management Technologies Communication Protocols Middleware Overlay and Peer-to-Peer Networks Cloud Computing and Cloud Storage Data, Information, and Semantic Models Information Visualization Software-Defined Networking Network Function Virtualization Orchestration Operations and Business Support Systems Control and Data Plane Programmability Distributed Ledger Technology Digital Twins Programmable and AI-Driven Network Architectures AI-based management (Reinforcement Learning, Generative AI, …) Methods Mathematical Logic and Automated Reasoning Optimization Theories Control Theory Probability Theory, Stochastic Processes, Queuing Theory Artificial Intelligence and Machine Learning Evolutionary Algorithms Economic Theory, Game Theory and Business Models Risk Management Methods Monitoring and Measurements Data Mining and (Big) Data Analysis Computer Simulation Experiments Testbed Experimentation and Field Trials Software Engineering Methodologies Authors are invited to submit original contributions that advance the state of the art in network and service management. Submissions should emphasize both novelty and impact, supported by theoretical analysis, simulations, testbeds, or real-world deployments.
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录用率

平均录用率: 29.7% 11 年间 (2000–2020).

年份提交数录用数录用率(%)
202024311246.1%
20181895629.6%
20162135425.4%
20141524428.9%
20122415522.8%
20102015426.9%
20082206429.1%
20061865328.5%
20042246026.8%
20021735732.9%
20002056129.8%

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