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Call For Papers
International Journal of Network Management is an academic journal published by Wiley. (ISSN 1055-7148, impact factor 2.6).
Aims and Scope
Modern computer networks and communication systems are increasing in size, scope, and heterogeneity. The promise of a single end-to-end technology has not been realized and likely never will occur. The decreasing cost of bandwidth is increasing the possible applications of computer networks and communication systems to entirely new domains. Problems in integrating heterogeneous wired and wireless technologies, ensuring security and quality of service, and reliably operating large-scale systems including the inclusion of cloud computing have all emerged as important topics. The one constant is the need for network management. Challenges in network management have never been greater than they are today. The International Journal of Network Management is the forum for researchers, developers, and practitioners in network management to present their work to an international audience. The journal is dedicated to the dissemination of information, which will enable improved management, operation, and maintenance of computer networks and communication systems. The journal is peer reviewed and publishes original papers (both theoretical and experimental) by leading researchers, practitioners, and consultants from universities, research laboratories, and companies around the world. Issues with thematic or guest-edited special topics typically occur several times per year. Topic areas for the journal are largely defined by the taxonomy for network and service management developed by IFIP WG6.6, together with IEEE-CNOM, the IRTF-NMRG and the Emanics Network of Excellence. The taxonomy is available here
Readership
The readership of this journal is broad. Readers include network and telecommunications managers, researchers, developers, designers, consultants, vendors, and students with an interest in existing and future directions in network management.
Keywords
IP networks
Wireless networks and cellular networks
Optical networks
Overlay networks
Virtual networks
Home networks
Access networks
Enterprise networks and campus networks
Data center networks
SCADA networks and distributed control systems
Wireless sensor networks
Internet of Things networks
Information-centric networks
Software-defined networks
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
Economic aspects
Multi-stakeholder aspects
Service level agreements
Lifecycle aspects
Process and workflow aspects
Legal perspective
Regulatory perspective
Privacy aspects
Fault management
Configuration management
Accounting management
Performance management
Security management
Centralized management
Hierarchical management
Distributed management
Federated management
Autonomic and cognitive management
Policy-based management
Pro-active management
Energy-aware management
Quality of experience-centric management
Communication protocols
Middleware
Overlay networks
Cloud computing and cloud storage
Data models, information models semantic models
Information visualization
Software-defined networking
Network function virtualization
Orchestration
Operations support systems and business support systems
Mathematical logic and automated reasoning
Mathematical optimization
Control theory
Probability theory, stochastic processes, and queuing theory
Machine learning
Evolutionary algorithms
Economic theory and game theory
Network monitoring and measurements
Data mining and (big) data analysis
Computer simulation experiments
Prototype implementation and testbed experimentation
Field trials
Special Issue on Architectures and Ecosystems for Cryptocurrency Exchanges: Security, Compliance, and the Future of Digital Assets
Submission Date: 2026-09-30
Cryptocurrencies, originating with Bitcoin as a means of global electronic payment, are rapidly transforming the landscape of digital assets and decentralized finance. As the digital economy becomes increasingly complex, conventional financial infrastructures and early isolated cryptocurrency models are no longer sufficient to support the diverse and expanding ecosystem of utility tokens, security tokens, and stablecoins. Cryptocurrency exchanges—both centralized (CEX) and decentralized (DEX)—are emerging as key enablers and central hubs for the trading, management, and utilization of thousands of digital assets.
Recent advances in exchange architectures have opened new opportunities for providing comprehensive financial ecosystems, extending far beyond simple trading to include decentralized finance (DeFi) services, staking and yield earning, payment and merchant services, institutional custody, and NFT marketplaces. At the same time, the rapid evolution and operational expansion of these crypto exchanges raise important challenges related to regulatory compliance, security vulnerabilities, market manipulation, liquidity provision, decentralization trade-offs, and overall system resilience.
This special issue aims to bring together researchers and practitioners from academia and industry to present original contributions on the theory, design, implementation, validation, and real-world application of cryptocurrency exchanges and related digital asset services. The issue will highlight recent advances, emerging trends, practical experiences, and open research challenges in the field.
Topics for this call for papers include but are not restricted to:
Stablecoins (design, issuance, risk, regulation)
Central Bank Digital Currencies (CBDC)
Security Tokens & Tokenized Securities
Non-Fungible Tokens (NFT)
Digital Asset Custody Services (DACS)
Centralized Crypto Exchanges (CEX)
Decentralized Crypto Exchanges (DEX)
Automated Market Makers (AMM)
Liquidity Pools
Trading & Withdrawal Fee Mechanisms
Support for Multi-chain / Cross-chain Transactions
Proof of Reserves (PoR)
Decentralized Finance (DeFi)
Crypto Arbitrage Strategies
Innovative Financial Services in Web3
Wallet Architectures (custodial / non-custodial / smart wallets)
Key Management & Digital Signatures
Account Abstraction and Wallet UX
Institutional-grade Custody Solutions
Security Attacks on Crypto & DeFi Systems
Smart Contract Vulnerabilities
MEV (Maximal Extractable Value) and Market Manipulation
Exchange Failures and Incident Analysis
Operational Security & Risk Management
AI / ML for Crypto Trading
On-chain Data Analytics
Fraud Detection and Anomaly Detection
AI-driven Risk Assessment for Digital Assets
KYC / AML Technologies
FATF Travel Rule Compliance
Regulatory Technology (RegTech) for Crypto
Laws and Regulations for Digital Assets
Compliance Challenges for Multi-jurisdictional Operations
Exchange Operations & Infrastructure Management
Scalability, Performance & Reliability
Monitoring, Auditing, and Transparency
Governance Models for Crypto Platforms
Guest Editors:
Dr. Kristian Kostal
Slovak University of Technology
Slovakia
Prof. James W. Hong
POSTECH
Republic of Korea
Dr. Andreas Veneris
University of Toronto
Canada
Dr. Hongtaek Ju
Keimyung University
Republic of Korea
Dr. Taeyeol Jeong
Consensys
United States
Keywords: cryptocurrency; decentralization; digital economy
https://onlinelibrary.wiley.com/page/journal/10991190/homepage/call-for-papers/si-2026-000416
Special Issue on AI-driven Management and MLOps for Networks and Services
Submission Date: 2026-10-31
The increasing scale, programmability, and heterogeneity of modern networks and digital services are driving a fundamental shift in management paradigms. Communication infrastructures now operate across cloud, edge, mobile, IoT, and domain-specific environments, where service agility and operational resilience depend on timely, intelligent, and automated management decisions. In parallel, AI is becoming an essential component of operational systems, supporting prediction, optimization, control, and decision assistance across the management stack.
This evolution creates a twofold research opportunity. First, AI-driven techniques are redefining how networks and services are monitored, analyzed, optimized, and controlled. Second, the growing operational use of AI models introduces the need for robust lifecycle management practices, including data engineering, model validation, deployment, monitoring, governance, and continuous adaptation. Together, these perspectives motivate a unified view of network and service management that integrates both intelligent automation and the operational management of AI itself.
This Special Issue invites original contributions on methods, architectures, systems, platforms, and operational experiences related to AI-driven management and MLOps for networks and services. We welcome work that advances theoretical foundations, reports experimental or real-world results, and addresses the practical challenges of deploying trustworthy AI in operational environments.
Topics for this call for papers include but are not restricted to:
AI-driven monitoring, analysis, and control for networks and services
Machine learning for service assurance, fault management, and root-cause analysis
Large language models and foundation models for network and service operations
Reinforcement learning for adaptive orchestration and autonomous control
AI-driven management for cloud-native, edge, 5G/6G, and IoT environments
Data pipelines, model training, validation, deployment, and continuous delivery for network AI
Monitoring, observability, and drift management for AI models in production
Governance, accountability, and policy compliance for operational AI
Security and privacy in AI lifecycle management and inference pipelines
Robustness against adversarial manipulation, poisoning, and model misuse
Resource-efficient AI for network and service management
Explainability, transparency, and trust in AI-driven operational decisions
Benchmarks, datasets, testbeds, and evaluation methodologies
Operational case studies, deployment experiences, and lessons learned
Guest Editors:
Dr. Marc-Oliver Pahl
IMT Atlantique
France
Dr. Hanan Lutfiyya
University of Western Ontario
Canada
Dr. Stuart Slayman
University College London
United Kingdom
Keywords: application lifecycle management; cloud computing; computer science
https://onlinelibrary.wiley.com/page/journal/10991190/homepage/call-for-papers/si-2026-000414
Special Issue on Best Papers of IEEE/IFIP NOMS 2024: "Towards Intelligent, Reliable, and Sustainable Network and Service Management"
Submission Date: 2027-05-31
IEEE/IFIP NOMS 2024 was held from 6–10 May 2024 in Seoul, Republic of Korea. The NOMS 2024 theme was "Towards Intelligent, Reliable, and Sustainable Network and Service Management." Papers were submitted as full and short technical session papers, experience session papers, and dissertation papers. The topics for NOMS 2024 were:
Technologies:
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.
Service Management:
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.
Functional Areas:
Configuration Management;
Accounting Management;
Performance Management;
Security Management.
Management Paradigms:
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.
Methods:
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.
Guest Editors:
Prof. Baek-Young Choi
University of Missouri,
MO, United States
Prof. Myungsup Kim
Korea University,
Republic of Korea
Prof. Roberto Riggio
Marche Polytechnic University,
Italy
https://onlinelibrary.wiley.com/page/journal/10991190/homepage/call-for-papers/si-2024-000511
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