Call for Papers

Artificial Intelligence (AI) can harness the immense amount of operational data from clouds, to services, to social and communication networks. In the era of big data and connected devices of all varieties, artificial intelligence has found ways to improve operations and management of information technology services, systems and networks.

Research is therefore needed to understand and improve the potential and suitability of artificial intelligence in the context of services, systems and network management. This will provide deeper understanding and better decision making based on largely collected and available operational and service data. It will also present opportunities for improving artificial intelligence algorithms on aspects such as reliability, dependability and scalability, as well as demonstrate the benefits of these methods in management and control systems. Moreover, there is an opportunity to define novel platforms that can harness the vast operational data and advanced artificial intelligence algorithms to drive management decisions in networks, data centers, and clouds.

IEEE Transactions on Network and Service Management (IEEE TNSM) is a premier journal for timely publication of archival research on the management of networks, systems, services and applications. Following the success of four recent TNSM special issues on Data Analytics for Network and Service Management in 2016, 2018, 2019, and 2020 this special issue will also focus on recent, emerging approaches and technical models that exploits artificial intelligence in network and service management solutions. We welcome submissions addressing the underlying challenges and opportunities, presenting novel techniques, experimental results, or theoretical approaches motivated by management problems. Survey papers that offer a perspective on related work and identify key challenges and opportunities for future research are also in the scope of the special issue. We look forward to your submissions!

Topics of Interest

Topics of interest for this special issue include, but are not limited, to the following:

Artificial Intelligence, Data Analytics and Machine Learning

• Analysis, modelling and visualization
• Operational analytics and intelligence
• Event and log analytics, text mining
• Outlier / Anomaly detection and prediction
• Predictive analytics and real-time analytics
• AI, neural networks, and deep learning for management
• Data mining, statistical modeling, and machine learning for management

Application Domains and Management Paradigms

• Social and communication networks analysis
• AI management of virtualized infrastructure, clouds and edge nodes
• AI management of software defined networks
• AI management of storage resources
• AI management of Internet of Things and cyber-physical systems
• AI management of 5G
• AI management of zero touch and driverless networks
• Applications of AI to traffic classification, root-cause analysis, service quality assurance, IT service and resource management
• Novel approaches to cyber-security, intrusion detection, threat analysis, and failure detection based on artificial intelligence
• Platforms for monitoring and measurements to support management for AI
• Platforms for analyzing and storing logs and operational data for management tasks
• Platforms for collaborative learning from multiple distributed network elements
• Platforms for anonymizing operation data
• AI testbeds and experimental evaluations
• Abstractions and knowledge representation / data models needed for deploying AI for network management and orchestration

Submission Guidelines

All papers should be submitted through the IEEE Transactions on Network and Service Management manuscript submission site. Authors must indicate in the submission cover letter that their manuscript is intended for the "Embracing Artificial Intelligence for Network and Service Management" special issue. View detailed author guidelines.

Important Dates

Paper Submission: 12 April 2021 (Extended Deadline)
Publication Date: December 2021

Guest Editors

For more information, please contact the guest editorial team via Prof. Hanan Lutfiyya.