Consortium & members


  • Inria leads the project
  • Key personnel: Renata Teixeira (DR Inria, head of Muse team), Vassilis Christophides (Advanced Re-search Position, Muse team), Chadi Barakat (CR Inria, Diana team)
  • Description: The Muse team at Inria-Paris Rocquencourt is expert on Measuring networks to enhance USer Experience. The Diana team at Inria-Sophia Antipolis Mediterranee focuses on designing, implementing, and evaluating Internet protocols and applications.
  • Role in the project: Inria will contribute to the measurement, analysis, and modeling of QoE as well as diagnosis techniques to identify whether performance bottlenecks lie in the home network or in the wide-area domain.


  • Key personnel: Isabelle Chrisment (Professor at TELECOM Nancy, head of Madynes team), Thibault Cholez (Associate Professor at TELECOM Nancy) and Vassili Rivron (Assistant Professor in ”Sociology and Epistemology” and on temporary assignment in Madynes)
  • Description: The main Madynes team research topics are i) the design and validation of novel manage- ment and security paradigms, and ii) network monitoring. The team has acquired an expertise in the usage of large-scale testbeds and has designed algorithms and supporting architectures to monitor the activity, and identify abnormal behavior.
  • Role in the project: CNRS-LORIA will improve end-device monitoring systems and contribute to In- ternet usage monitoring and profiling. In particular, CNRS-LORIA will hep define key indicators, metrics and measurement models where social sciences’ point of view is relevant.


  • Key personnel: Isabelle Hamchaoui, Fabrice Guillemin
  • Description: Orange is one of the main European operators for mobile and broadband internet services and, under the brand Orange Business Services, is one of the world leaders in providing telecommunication services to multinational companies.
  • Role in the project: Within this proposal, Orange will analyze and confront the results of tests performed by end-users (QoE) and measurements from Orange networks (mobile and fixed). Furthermore Orange will investigate policies of OTT players (content delivery optimization, proxies) and their impact on QoE.


  • Key personnel: William Rang (Deputy General Manager and CTO) and Pierre Jobard (R&D engineer).
  • Description: Ip-label provides solutions to measure QoE and QoS for all IP services. With 95 employees, more than 1000 customers around the world, ip-label is the European leader in this area. Ip-label works with ARCEP (French regulation authorities) since 2007 to measure ISP’s telephony QoE and more recently Internet access quality for all commercial offers.
  • Role in the project: Ip-label, in coordination with Orange, Inria and Loria teams, will use its knowledge in QoS/QoE measurement to adapt current algorithms to better diagnose network problems and shaping policies. Ip-label will be a data provider for TSP to conduct statistical analysis.


  • Key personnel: Romain Rouvoy (Associate Professor at University of Lille 1, Spirals project-team), Walter Rudametkin (Associate Professor at University Lille 1, Spirals project-team), and Lionel Seinturier (Professor at University of Lille 1 and Institut Universitaire de France, Spirals project-team).
  • Description: The Spirals team of University of Lille has a strong expertise Cloud and mobile computing. Theteamproposesadistributedcrowd-sensingplatform,named APISENSEE⃝ thatsupportsgatheringdata in the wild from connected devices (tablets, smartphones, set-top boxes, TVs, etc.).
  • Role in the project: Lille 1 will offer an access to APISENSE⃝ , integrate the new QoE sensors developed by the consortium, and work on the associated incentives to leverage their adoption by the contributors and raise a critical volume of data. In particular, Lille 1 will lead the deployment of the federated quality of Internet measurement platform developed as part of Work Package 1 and contribute to the integration of a scalable diagnostic platform as part of Work Package 3.


  • Key personnel: Jéréemie Jakubowicz (Assistant Professor) and Djamal Zeghlache (Professor, head of the wireless networks and multimedia services department) as well as Marc Girod Genet and Badii Jouaber (Assistant Professors)
  • Description: The wireless networks and multimedia services department has a strong experience in net- work models, analysis and optimization.
  • Role in the project: The TSP team will investigate network models and statistical tools for network inference and automatic discovery of anomalies or changes in the network that have an impact on QoE. The team will rely on the data collected by the project to infer model parameters that will help in pinpointing automatically the root causes of performance degradations. TSP will be involved primarily in tasks 2.2 and tasks 3.1 to 3.3. Based on prior experience in networks and networking, TSP will also contribute to the identification of additional QoE-relevant network KPIs and metrics.

Labs involved
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