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Section: Partnerships and Cooperations
International Initiatives
Inria International Partners
Declared Inria International Partners
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Taiwan, ACADEMIA SINICA & IIIS. Signature of a MoU in the framework of IoT-LAB.
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Algorithms research group of the University of Bergen, Norway. PICS project of CNRS on graph editing problems for analysis and modeling of complex networks.
Informal International Partners
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University of Namur: Department of Mathematics/Naxys (Belgium). Collaboration with Renaud Lambiotte on dynamical processes on dynamical networks and communities detections.
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Aalto University: Department of Biomedical Engineering and Computational Science (Finland). Collaboration with Jari Saramaki on modeling temporal networks and community like modular structure
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Central European University (Hungary). Collaboration with János Kertész on modeling complex contagion phenomena.
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ISI Foundation (Italy). Collaboration with Laetitia Gauvin on multiplex networks and transportation systems
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University of South California (USA). Collaboration with Antonio Ortega on Graph Signal Processing
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University of Pennsylvania (USA). Collaboration with Alejandro Ribeiro on Graph Signal Processing
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LNCC, Petropolis (Brazil). Collaboration with Arthur Ziviani on Temporal Graph modeling ans algorithms.
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College of Information and Computer Sciences at the University of Massachusetts Amherst.
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University of California, Santa Cruz (USA). Collaboration with Alexandre Brandwajn on the solutions to multi-server queues.
Participation in Other International Programs
The general goal of the MOTIf project is to understand, model, and predict individual behavior embedded in social and technological environments. We propose to work in two directions in order to tackle this challenge: (1) aim to understand spatiotemporal patterns of service usage of individuals to learn when, where, and what people are doing. (2) aim to understand the fine-grained sociodemographic structure of society and see how the demographic characteristics of individuals in a social network correlate with the dynamics of their egocentric and global network evolution.
PHC Peridot
Participants : Mohammed Amer, Thomas Begin, Anthony Busson, Isabelle Guerin Lassous.
Framework for Control and Monitoring of Wireless Mesh Networks (WMN) using Software-Defined Networking (SDN). The main objective of this project is propose mechanisms and modifications in the SDN architecture, specifically in the OpenFlow, which allow SDN mechanisms to operate over WMN considering the dynamic network topology that WMN may experience and some other relevant characteristics. The project will involve devising mechanisms for controlling mesh switches through controllers in a wireless environment, which will require developing novel and WMN-specific rules, actions and commands. The project will involve proposing mechanism that consider dynamic environment of WMN along with providing redundancy in the network. Besides, there is a requirement to have an adaptive measurement API for WMN. This is the second objective of our research project. The proposed measurement API will enable the network operators to monitor network traffic over WMN which may be content-specific or host-specific. This is a joint project between DANTE and M. A. Jinnah University, Islamabad. It started in June 2015 and will end in June 2018.