Special Issue on Embracing Artificial Intelligence for Network and
Service Management
https://www.comsoc.org/publications/journals/ieee-tnsm/cfp
(Submissions due: 1 April 2021)
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 Big Data Analytics
for 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: April 1, 2021
Review results returned: July 1, 2021
Revision submission: August 1, 2021
Final acceptance notification: Oct 1, 2021
Final paper submission: Nov 1, 2021
Tentative Publication: December 2021
(*online published version will be available in IEEE Xplore after the
camera ready version has been submitted with final DOI)
Guest Editors:
Robert Birke Neeraj Kumar
ABB Corporate Research, Switzerland CSED Thapar Institute of
Engineering and Technology, India
Giuliano Casale Hanan Lutfiyya (Lead)
Imperial College London, UK The University of Western Ontario
Amogh Dhamdhere Deepak Puthal
Amazon Web Services, USA Newcastle University, UK
Jinho Hwang Nur Zincir-Heywood
IBM T.J. Watson, USA Dalhousie University, Canada
For more information, please contact the guest editors at
TNSM.SI.DAML21@gmail.com
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