The ROC team organizes its annual workshop in French Britain, at the Manoir de Kérazan, newly opened by the Institut de France for cultural and scientific meetings.

The tentative program is as below.

Attendance is free but the number of seats is limited : to participate please register by email writing to killian DOT cressant AT cnam DOT fr.

ROC WORKSHOP 2024 PROGRAMME (tentative)

Thursday, May 16, 2024

15h : accueil et ouverture

15h30 : Présentation invitée de Adrien Lebre (IMT-A/Inria Nantes)

Titre: Fog, Edge, Digital Continuum or Network, the names evolve but the challenges remain the same!

Bio: Adrien Lebre currently holds the position of research director at Inria, where he has been overseeing the network and cloud program. Prior to this role, he was a full professor at IMT Atlantique in Nantes, France. Since 2017, Adrien has led the STACK research group, focusing on large-scale distributed systems, their design, compositional properties, and efficient implementation. More precisely,  his activities have been mainly focusing on the Edge Computing paradigm, in particular in the OpenStack, and more recently,  Kubernetes ecosystems. Adrien Lebre is also strongly involved in several initiatives  related to experiment-driven research on digital infrastructures such as the Slices-RI initiative.  He holds a Ph.D. from Grenoble Institute of Technologies and a habilitation from University of Nantes.  For further information, please visit:   http://stack.inria.fr

16h30 : Pause café

16h45: Présentation des doctorants en 1ère année

  • Killian Cressant
  • Mehdi Boudjelli
  • Anh Khoa

17h30 : Visite du musée du Manoir de Kerazan

18h45 : Apéro-dinatoire – diner au manoir

Friday, May 17, 2024

5h30 : social event

  • Visite de la Criée de Loctudy

7h30: Présentation des doctorants en 2ème année

  • Rezak Aziz
  • Victorien Romain

8h30: Pause café

9h30 : Présentation invitée de Françoise Sailhan (IMT-A-Brest): titre à confirmer

[Cedric]

10h45 : pause café

11h00 : Présentations des stageaire Master 2

  • Moussa Guemdani
  • Ali Moheed Kayani

Pause déjeuner au manoir

13h30 : Présentation des doctorants en 3ème année

  • Kaoutar Sadouki
  • Mario Pateta

19h00 : Social events

  • Diner chez AC Le Levier à Loctudy

Saturday, May 18, 2024

9h30 :  Accueil

10h : Présentation invitée de Yacine Hadjadj-Ajoul (URennes/IRISA)

Yassine HADJADJ AOUL

Titre: Exploring the Promises and Limitations of GNNs for Network Optimization

Resumé: Due to their dynamic nature and the multitude of involved parameters, network optimization problems are typically complex. The complexity of these problems is further increased by the distributed nature of these networks, coupled with the need to simultaneously take into account the variety of objectives and constraints, mainly related to the supported services. Conventional optimization methods generally fail to address these multiobjective problems, as they fail to provide scalable and robust solutions capable of dynamically adapting to changing network conditions. To overcome these obstacles, several machine learning-based approaches, and particularly reinforcement learning, have emerged in recent years. Although effective, these approaches are generally unable to grasp the graph topology of the networks and the richness of information, they also pain to generalize the learning, in addition to being unexplainable black boxes, which limits the practical utility of these approaches. In this context, Graph Neural Networks (GNNs) have emerged as a promising approach, leveraging the power of deep learning to process graph-structured data effectively, which is typically needed in several networking problems. This talk will explore the applications of GNNs in network optimization problems such as network tomography for monitoring and virtual service placement for network slicing. We will discuss the ability of GNNs to capture graph structures and apprehend representations directly from network data to enable more efficient and intelligent resource allocation strategies. By exploring both the promises and limitations of GNNs, this talk aims to provide a comprehensive understanding of their applicability in network management, and opens the door for future research directions in this rapidly evolving field.

11h00 : Pause café

11h15 : Présentation postdoctorant: Farzad Veisi Goshtab

11h30 : Présentation postdoctorant: Patient Ntumba Wa Ntumba

Pause déjeuner au manoir

15h00 : Social events

  • Visite du musée de la conserverie à Luctudy
ROC Workshop 2024 – May 16-18, 2024

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