AnNet 2022 - 7th IFIP/IEEE International Workshop on Analytics for Network and Service Management (AnNet)

The Seventh IEEE/IFIP International Workshop on Analytics for Network and
Service Management (AnNet 2022) will be held in conjunction with the IEEE/IFIP
Network Operations and Management Symposium (NOMS 2022) from April 25th to
29th 2022 in Budapest, Hungary
Following the success of the six previous editions of this workshop, the main
goal of AnNet is to present research and experience results in the area of
data analytics and machine learning for network and service management.
Approaches such as statistical analysis, data mining, and machine learning are
promising mechanisms to harness the immense stream of operational data and to
improve operations and management of IT systems and networks.
AnNet 2022 will include original full-paper presentations and short-paper
sessions. The workshop attendees will be stimulated to participate in
interesting discussions. To this end, position papers, short papers describing
late-breaking advances and work-in-progress reports from ongoing research and
experimental work are also welcome.
TOPICS OF INTEREST
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We invite our community to contribute with manuscripts describing novel,
work‑in‑progress research on the design of solutions to relevant security
issues on a wide variety of next generation networking technologies. The
topics of interest include:
Data analytics
* Analysis, modeling and visualization
* Operational analytics and intelligence
* Event, log and big data analytics
* Network traffic analysis
* Anomaly detection and prediction
* Crowd sensing
* Monitoring and measurements for management
* Predictive and real-time analytics
* Harnessing social data for management
Machine learning techniques
* Supervised, semi-supervised, and unsupervised learning
* Clustering and data mining
* Reinforcement learning
* Multi-agent based learning
* Deep learning
* Bayesian methods
* Ensemble methods
* Cognitive computing
* Mining spatiotemporal and time series data
Network management paradigms
* Autonomous and autonomic networks
* Fog/edge computing
* In-network processing
* Bio-inspired networks and self-management
* Cognitive and software defined networks
* Network function virtualization
* Security, fault, performance, and resource management
* Intent-based networking
* Programmable data planes
Application domains
* Computer networks
* Mobile ad-hoc and wireless sensor networks
* Clouds and data centers
* Virtualized infrastructures
* Internet of Things
* Computing and network services
* IT service management, storage resource management