/IEEE/IFIP Network Operations and Management Symposium

IEEE/IFIP Network Operations and Management Symposium

08 - 12 May 2023 | Orlando, US

Integrated Management Towards Resilient Networks and Services

imec

2 papers accepted by Pereira Dos Santos José Pedro

Tuesday May 9th - 11:00-12:30 - Optimized Management Efficient Management in Fog Computing
Dissertation Digest: Authors:

  • Jose Santos, Ghent University - imec, Belgium
  • Tim Wauters, Ghent University - imec, Belgium
  • Filip De Turck, Ghent University - imec, Belgium

Tuesday May 11th  - Panel Discussion: Filip De Turck

Event description

IEEE/IFIP Network Operations and Management Symposium (NOMS 2023) is held every even-numbered year since 1988 with its sister conference IFIP/IEEE International Symposium on Integrated Network Management (IM), the 2023 edition is the 36th NOMS edition and the first ever taking place on an odd-numbered year bringing together the best of both outstanding conferences, a great achievement for the network management community.

In addition to being an historical event for the scientific community, NOMS 2023 will host an exciting program including keynotes, panels, technical sessions, demo sessions, dissertation session, mini-conference sessions, poster sessions, tutorials, and workshops. These events provide rich opportunities for participants to learn, share, exchange, and set the current and future directions and developments of network operations and management.

NOMS 2023 comes at the right time where the networks and services play a critical role in new value creation, businesses growth but also in contributing to the development of humanity.

This year's theme is “Integrated Management Towards Resilient Networks and Services.”

Technologies evolve at a fast pace in networking: 5G networks are being deployed and 6G network technological components are already developed and the overall architecture is in an active specification phase. Softwarization is being generalized at all levels of the protocol stacks and agile processes are in place to speed up dynamic service delivery and quality assurance across the globe and beyond. Digital twins of networks emerge to ease and automate the huge demand on monitoring, control and management of the underlying highly dynamic environments. Finally, numerous machine learning approaches are already utilized for optimized control, security and management.

Discover more