It is our great pleasure to welcome you to the 2023 edition of CNSM, the International Conference on Network and Service Management. CNSM is the annual Fall event of the network management community, co-sponsored by its technical committees, namely the IFIP working group 6.6 on Network and Distributed Systems Management and the IEEE Communications Society Committee on Network Operations and Management.
This year we are celebrating the 19th edition of this event and its 14th since the merger in 2010 of what used to be a forum of co-located workshops, a.k.a. Management Week, into a highly selective single‐track conference. Niagara Falls was then home to this merger, and back we are 13 years later, steps away from the majestic Horseshoe Falls.
CNSM 2023 program builds on the timely and overarching topics of AI and digitalization under the theme of network and service management in the Era of Generative AI and Digital Twins. The 3-day main program features a total of 8 plenary technical paper presentation sessions, a line-up of 5 compelling keynotes from academia and industry, a panel discussion among experts in the field, as well as posters and demonstrations. A mini conference and the 3rd International Workshop on Analytics for Service and Application Management precede the main conference program for focused and scoped technical discussions.
CNSM 2023 would have not been possible without the tireless efforts of the organizing and technical committees and the contribution of the authors and the reviewers. We are most grateful to them and to our patrons, sponsors and supporters. We hope that you will enjoy CNSM 2023 technical and social programs in Niagara Falls.
Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach
Lorenzo Manca (University of Bologna), Davide Borsatti (University of Bologna); Filippo Poltronieri and Mattia Zaccarini (University of Ferrara); Domenico Scotece, Gianluca Davoli and Luca Foschini (University of Bologna); Genady Ya. Grabarnik (St. John's University); Larisa Shwartz (IBM Research); Cesare Stefanelli and Mauro Tortonesi (University of Ferrara); Walter Cerroni (University of Bologna)
CML-IDS: Enhancing Intrusion Detection in SDN through Collaborative Machine Learning
Pegah Golchin (Technische Universität Darmstadt, Germany); Chengbo Zhou (Technical University of Darmstadt, Germany); Pratyush Agnihotri (Technische Universität Darmstadt, Germany); Mehrdad Hajizadeh (Technical University of Chemnitz, Germany); Ralf Kundel (Technical University of Darmstadt, Germany); Ralf Steinmetz (Technische Universität Darmstadt, Germany)
NIC Chile Research Labs, University of Chile, Chile
Noura Limam, University of Waterloo, Canada
Majid Ghaderi, University of Calgary, Canada
Remi Badonnel, TELECOM Nancy - University of Lorraine, France
Raouf Boutaba, University of Waterloo, Canada
Prosper Chemouil, CNAM, France