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AnNet 2023 : 8th IEEE/IFIP Workshop on Analytics for Network and Service Management


When May 8, 2023 - May 12, 2023
Where Miami, FL, USA
Submission Deadline Jan 31, 2023
Notification Due Mar 1, 2023
Final Version Due Mar 10, 2023
Categories    data analytics   machine learning techniques   network management paradigms   APPLICATION DOMAINS

Call For Papers


Dear all,

See below the Call for Papers for the 8th IEEE/IFIP International Workshop on Analytics for Network and Service Management.

This is the 8th edition of the Workshop, and it is a nice occasion to get feedback on your latest research from an ever-growing community.

Paper Submission: January 31, 2023

More info:

Many Thanks,

AnNet 2023 Organising Committee


AnNet 2023
8th IEEE/IFIP International Workshop on Analytics for Network and Service Management
May 8-12, 2023 in Miami, Fl, USA


The 8th IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet 2023) will be held in conjunction with the IEEE/IFIP Network Operations and Management Symposium (NOMS) in Miami, Fl, USA on May 8–12, 2023.

AnNet aims to present research and experience results in data analytics and machine learning for network and service management. Approaches such as statistical analysis, data mining and machine learning are promising to harness the immense stream of operational data and to improve operations and management of IT systems and networks.

AnNet 2023 will include original full-paper presentations, a keynote, and short-paper sessions. The workshop attendees will be stimulated to participate in interesting discussions. Short papers describing late-breaking advances and work-in-progress reports from ongoing research and experimental work are also welcome.


Paper Submission: January 31, 2023
Acceptance Notification: March 1, 2023
Camera-Ready Papers: March 10, 2023
Date: May 8, 2023


Authors are invited to submit papers that fall into or are related to one or multiple topic areas listed below:

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

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. Only original papers that have not been published or submitted for publication elsewhere can be submitted. Each submission must be written in English, accompanied by a 75 to 200 words abstract that clearly outlines the scope and contributions of the paper. 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. Submissions must be in IEEE 2-column style. Self-plagiarised papers will be rejected without further review. Authors should submit their papers via the JEMS system:

Papers accepted for AnNet 2023 will be included in the conference proceedings, IEEE Xplore, IFIP database and EI Index. IFIP and IEEE reserve the right to remove any paper from the IFIP database and IEEE Xplore if the paper is not presented by one of its authors at the workshop. Awards will be presented to the best paper at the workshop.

- Robert Harper, Moogsoft, UK

George Parisis, University of Sussex, UK
Yusufu Shehu, Moogsoft, UK
Elias Bou-Harb, University of Texas at San Antonio, USA

For more information, contact the chairs at:

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