CNSM 2023

CNSM 2023


19th International Conference on Network and Service Management | Network and Service Management in the Era of Generative AI and Digital Twins | October 30 – November 2, 2023 | Niagara Falls, ON, Canada


Important Dates

Paper Submission: June 26, 2023
Rebuttal Period: August 15-18, 2023
Acceptance Notification: August 25, 2023

Camera Ready Due: September 8, 2023

The 19th International Conference on Network and Service Management (CNSM) is inviting authors to submit original contributions in network and service management research. CNSM is a selective single-track conference, covering all aspects of the management of networks and services, pervasive systems, enterprises, and cloud computing environments. In particular, CNSM 2023 will focus on advancing network and service management in the era of generative AI and digital twins for improved performance, security and dependability.


  • Communication Protocols
  • Middleware
  • Overlay Networks
  • 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


  • Multimedia Services
  • Content Delivery Services
  • Cloud Computing Services
  • Internet Connectivity and Internet Access Services
  • Internet of Things Services
  • Security Services
  • Context-Aware Services
  • Information Technology Services
  • Service Assurance


  • Fault Management
  • Configuration Management
  • Accounting Management
  • Performance Management
  • Security Management


  • Centralized Management
  • Hierarchical Management
  • Distributed Management
  • Federated Management
  • Autonomic and Cognitive Management
  • Policy- and Intent-Based Management
  • Model-Driven Management
  • Pro-active Management
  • Energy-aware Management
  • QoE-Centric Management


  • Mathematical Logic and Automated Reasoning
  • Optimization Theories
  • Control Theory
  • Probability Theory, Stochastic Processes, and Queuing Theory
  • Artificial Intelligence and Machine Learning
  • Evolutionary Algorithms
  • Economic Theory and Game Theory
  • Monitoring and Measurements
  • Data Mining and (Big) Data Analysis
  • Computer Simulation Experiments
  • Testbed Experimentation and Field Trials
  • Software Engineering Methodologies

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