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


When Apr 25, 2022 - Apr 29, 2022
Where Budapest, Hungary
Submission Deadline Feb 13, 2022
Notification Due Mar 13, 2022
Final Version Due Mar 27, 2022
Categories    computer networks   data analytics   network management

Call For Papers


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

Co-located with IFIP/IEEE NOMS 2022

Apr 25--29, 2022 // Budapest, Hungary


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.


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


Paper submissions must present original, unpublished research or experiences.
Papers under review elsewhere must not be submitted to the workshop. All
contributions must be submitted in PDF format via JEMS submission system

There is a length limitation of 6 pages (including title, abstract, all
figures, tables, and references) for regular papers, and 4 pages for short
papers describing work in progress. Hence, please submit on the corresponding
track that you will find on JEMS.
Submissions must be in IEEE 2-column style. Self-plagiarized papers will be
rejected without further review. The accepted papers will be submitted for
publication in the IEEE Xplore Digital Library. Papers will be withdrawn from
IEEE Xplore in case the authors do not present their paper at the workshop.
Also, authors of selected workshop papers will be fast-tracked for the
publication of extended articles in the Springer Journal of Network and System
Management (JNSM)


Paper Submission: February 13th, 2022
Acceptance: March 13th, 2022
Camera-ready: Mar 27th, 2022



* Juan Felipe Botero Vega (University of Antioquia, Colombia)


* Adrián Lara (University of Costa Rica, Costa Rica)
* Sergio Armando Gutiérrez Betancur (Universidad Autónoma Latinoamericana,


* Raouf Boutaba (University of Waterloo, Canada)
* Yixin Diao (IBM T. J. Watson Research Center, USA)
* Rolf Stadler (KTH Royal Institute of Technology, Sweden)
* Filip De Turck (Ghent University – iMinds, Belgium)
* Mehmet Ulema (Manhattan College, USA)
* Nur Zincir-Heywood (Dalhousie University, Canada)


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