Computer Sciences department - Maths&Net

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MATHS&NET : Methods for network modeling, monitoring, management and security

Team leader : Sandrine Vaton

The teams's website (French)

Description

The Maths&Net team works on designing, describing, managing, securing and controlling various aspects of operators' communication networks. In a layered model, we are at the network layer (IP) level and above. Among the tools and methods used, we rely on stochastic models and algorithms to capture the high variability of such networks, as well as on game theory models that are particularly well suited to modeling distributed systems involving different interacting actors.

Research areas

The activities of this team are mainly structured around the following key areas:

  •     Artificial intelligence for autonomous network management

    Keywords: Modeling, data analysis, learning, network control

  •     Traffic and equipment monitoring for safety and reliability

    Keywords: denial of service detection, fault detection/location, real-time and high-speed flow processing

  •     Network architecture and virtualization

    Keywords: SDN/NFV

  •     Game theory for networks

    Keywords: Pricing, revenue and resource sharing, incentives, network economics

 

Methods and tools

The Maths&Net team relies on various mathematical tools, such as stochastic modeling and simulation, stochastic control, statistics, queuing theory, game theory as well as simulations, prototyping and modeling.