-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] CFP: JSAC SI on Advances in AI/ML for Networking (deadline Oct 1) Datum: Fri, 5 Jul 2019 13:42:18 +0000 Von: Kellerer, Wolfgang wolfgang.kellerer@TUM.DE Antwort an: Kellerer, Wolfgang wolfgang.kellerer@TUM.DE An: tccc-announce@COMSOC.ORG
Call for Papers
IEEE JSAC Special issue on Advances in Artificial Intelligence and Machine Learning for Networking
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Artificial Intelligence (AI) and Machine Learning (ML) approaches have emerged in the networking domain with great promise. They can be clustered into AI/ML techniques for network engineering and management, network design for AI/ML applications, and system aspects. AI/ML techniques for network management, operations and automation improve the way we address networking today. They support efficient, rapid, and trustworthy management operations. The current interest in softwarization and network program-
mability fuels the need for improved network automation in agile infra-
structures, including edge and fog environments. Network design and optimi-
zation for AI/ML applications address the complementary topic of supporting AI/ML-based systems through novel networking techniques, including new architectures and performance models. A third topic area is system mplemen-
tation and open-source software development.
This special issue will focus on networking aspects (mostly, network layer and above). Work with primary contribution to physical layer concepts or wireless access should be submitted to other venues. Prospective authors are invited to submit high-quality, original manuscripts on the following topics, but not limited to:
Fundamental Frameworks
* Network theory inspired by machine learning
* Transfer learning and reinforcement learning for networking
* Big data analytic frameworks for networking data
Network analytics
* Machine learning, data mining and big data analytics for networking
* Representation learning on operational data
* Data mining, statistical modeling, and machine learning for network management
* User experience-driven network planning
* Learning algorithms and tools for network diagnostics and root cause analysis
Network decision making and optimization
* Protocol design and optimization using machine learning
* Network architecture and optimization for AI/ML applications at scale
* Resource allocation for shared/virtualized networks using machine learning
* Energy-efficient network operations based on AI/ML algorithms
* AI/ML Algorithms for network security
* Network Reliability, robustness and safety based on AI/ML concepts
* Security for networks optimized and operated based on AI/ML concepts
Network automation
* Self-driving networks
* Self-Learning and adaptive networking protocols and algorithms
* Deep learning and reinforcement learning in network control & management
* Predictive or self-aware networking maintenance
* Open-source AI software for networking or networked applications
Submission Guidelines
All submissions must follow the Guide for Authors as published on the Journal website at http://www.comsoc.org/jsac/paper-submission-guidelines.
Manuscript Due: October 1, 2019
Acceptance notification: March 1, 2020
Final manuscript due: March 15, 2020
Expected Publication of the Special Issue: Second quarter 2020
Guest Editors
Rolf Stadler, KTH Royal Institute of Technology, Sweden, stadler@kth.se (Lead Guest Editor)
Prosper Chemouil, Orange Labs (retired), France, prosper.chemouil@ieee.org Pan Hui, University of Helsinki, Finland & Hong Kong University of Science and Technology, Hong Kong, panhui@cse.ust.hk Noura Limam, University of Waterloo, Canada, noura.limam@uwaterloo.ca
Wolfgang Kellerer, Technical University of Munich, Germany, wolfgang.kellerer@tum.de Yonggang Wen, Nanyang Technological University, Singapore, ygwen@ntu.edu.sg
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