Phd Position F/m Monitoring Plane for Mobile
Il y a 5 mois
Le descriptif de l’offre ci-dessous est en Anglais_
**Type de contrat **:CDD**Niveau de diplôme exigé **:Bac + 5 ou équivalent**Fonction **:DoctorantA propos du centre ou de la direction fonctionnelle
The Inria Université Côte d'Azur center counts 37 research teams as well as 8 support services. The center's staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The majority of the center's research teams are located in Sophia Antipolis and five of them are based in an Inria antenna in Montpellier. The Inria branch in Montpellier is growing in size, in accordance with the strategy described in the institution's Contract of Objectives and Performance (COP).
Contexte et atouts du poste
**This position is open in the Diana project-team at Inria Center at Université Côte d'Azur, in the frame of several major French and European projects on 5G/6G networks.**
The overall objective of the DIANA project-team is to design, implement and evaluate advanced networking architectures. To do so, the team works to provide service transparency and programmable network deployments in the context of both wired and next generation wireless cellular networks. The team’s methodology includes advanced measurement techniques, design and implementation of architectural solutions, and their validation in adequate experimental facilities. The DIANA team designed, deployed and operates R2lab, a wireless testbed designed with reproducibility as its central characteristics. The team collaborates with Eurecom to deploy and operate an open programmable platform to test post-5G services. Recently, the team enriched R2lab with 5G professional radio units and compute resources managed by Kubernetes clusters to provide an experimental cloud-native environment to test with open source (OAI, SrsLTE) software and some commercially licensed software (e.g. Amarisoft) for 5G/6G networks supporting for example scenarios with disaggregated 5G networks elements. Other recent contributions of the team include: Enhanced Transport-Layer Mechanisms for Multi-Access Edge Computing-Assisted Cellular Networks, Bencharmking Mobile Networks from the Viewpoint of Video Streaming QoE, Introducing Fidelity in Network Emulation, and Enhanced Ray Tracing Techniques for Accurate Estimation of Signal Power.
Mission confiée
Networks are witnessing a revolution nowadays with the advent of virtualization and softwarization allowing to deploy network functions and services in data centres, placed at the edge of the network. The efficient placement of these functions and services, and the orchestration of communications between them and with the users, requires the deployment of a monitoring plane allowing to discover and profile the available computing resources at the edge in real time and, in parallel, provide stakeholders (operators, providers and end users) with a sufficient level of information on the capacity and connectivity of these resources to be able to optimize network management and Quality of Experience (QoE) of end users. We aim in this thesis on contributing to the deployment and evaluation of this monitoring plane.
This thesis has two main outcomes. First, it will allow a better understanding of the efficiency and granularity of existing monitoring solutions for mobile edge networks. Second, it will bring to the community a new solution able to accommodate the different users requests in a flexible manner and to cover the different parts of a mobile edge system by bridging together different views on the system. Indeed, an efficient and flexible monitoring plane is key for a network management that improves the end users quality of experience and that troubleshoots the network in case of failures and service degradation.
Principales activités
Departing from the results of the previous study, the second objective of this thesis is to come up with a new flexible monitoring solution able to cover the different parts of a mobile edge system such as the wireless channel and the edge cloud part, and to customize the level of information provided based on the requirements of the network management plane. This new solution will mainly consist on bridging the wireless channel view with the cloud and network view in one view able to shed light on the different events that can happen inside the network and on the computing nodes of the edge cloud. We will devise experimentation scenarios to prove the flexibility of our monitoring solution and its efficiency to accommodate the different monitoring requests.
Compétences
Strong knowledge in network protocols, mobile networks, network measurement, data analytics.
Strong programming skills: python, scripting, java/C++, etc.
Avantages
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of e
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