AIMLEM 2019 - 1st International Workshop on Artificial Intelligence and Machine Learning Techniques for Enhanced Network Management (AIMLEM 2019)

The AIMLEM workshop addresses both the advances and challenges related to Artificial Intelligence and Machine Learning techniques for enhanced network management of network elements and services in current and future highly dynamic and highly scalable 5G environments.
The advances and challenges are expected to be multiple, and there are clearly many open questions that need to be addressed, including:
How can Artificial Intelligence and Machine Learning Techniques really be used for effective and/or enhanced network management;
What are the abstractions and knowledge representation / data models needed to ensure that AI is deployable for network management and orchestration;
How do the existing technologies of networking, NFV, SDN, services become features and aspects of AI and ML, and how are they managed in this context;
Is it better to adapt existing components to support AL and ML, or is it better to design new ones, considering the price / performance trade-offs for introducing AI/ML in management and orchestration;
How can the use of induction and explanation systems of AI highlight what decisions have been made and how these situations have occurred;
AIMLEM aims at providing an international forum for researchers and practitioners from academia, industry, network operators, and service providers to discuss and address the challenges deriving from such emerging scenarios where AI and ML systems, processes, and workflows used in both service and network domains. The workshop welcomes contributions from both computing and network-oriented research communities, with the aim of facilitating discussion, cross-fertilization and exchange of ideas and practices, and successfully promote innovative solutions toward a real use of AI and ML. Contributions that discuss lessons learnt and best practices, describe practical AI and ML deployment and implementation experiences, and demonstrate innovative AI and ML use-cases are especially encouraged for presentation and publication.
We are interested in papers that use Artificial Intelligence and/or Machine Learning the following topics:
Distributed versus centralised management architectures and algorithmic approaches of AI and ML for 5G
Dynamic management and orchestration for virtualized features of NFV, SDN, and SFC (including function placement, network slicing)
AI assisted network and cloud slicing
Data, information, and semantic models, and abstractions and knowledge representation for AI systems in network management
Network data / metadata collection, analysis, distribution, and visualisation for operations and testing of AI/ML methods and algorithms
Evaluation (performance and feasibility) of integrating AI and ML into the networks (e.g., operation, management and orchestration)
Success scenarios of AI/ML demonstrated in network management
And other AI / ML management and orchestration related topics