Farah Aït Salaht
DVRC (De Vinci Research Center)
I am Farah Aït Salaht, an Associate Professor of Computer Science at the Pôle Universitaire Léonard de Vinci (ESILV) in Courbevoie, France, where I am a member of the De Vinci Research Center (DVRC).
I earned my Ph.D. in Computer Science in 2014 from the University of Versailles Saint-Quentin-en-Yvelines (UVSQ). My doctoral work focused on the performance evaluation of complex networks, utilizing stochastic bounds and Markov chains to solve issues related to state space explosion.
Following my PhD, I expanded my expertise through postdoctoral positions at Télécom SudParis and ENSAI, focusing on the trade-off between Quality of Service and energy consumption in Cloud systems. I later joined an Inria Discovery project dedicated to service placement in large-scale fog computing environments.
Since then, my research has focused on the Cloud-to-Edge continuum. My work primarily addresses service placement and resource management in distributed environments, with a specific emphasis on autonomous control and stochastic optimization.
Research Areas
Service Placement & Resource Management
- Service placement and replication across the Cloud-Edge-IoT continuum
- Latency- and energy-aware deployment strategies
- Resource allocation in fog and edge infrastructures
- Optimization and constraint-programming approaches
Autonomic Control & Decision-Making AI
- Self-adaptive systems built on the MAPE-K control loop
- Concurrent, intra-loop coordination for faster reaction
- AI and heuristics for smart, autonomous decisions
- Dynamic reconfiguration of service orchestration
Stochastic Modeling & QoS Guarantees
- Performance evaluation with Markov chains and stochastic bounds
- Quality of Service (QoS) and reliability analysis
- Taming state-space explosion in complex networks
- Trade-offs between QoS and energy consumption
Selected Publications
Open Positions
PhD: Concurrent Autonomic Control for the Cloud-Edge-IoT Continuum
This PhD is part of the PEPR Cloud program (project TARANIS) and is jointly supervised by Inria (AVALON team / ENS Lyon) and ESILV – De Vinci Research Center (DVRC). The work will focus on designing, formalizing and evaluating a new MAPE-K coordination model enabling intra-loop concurrency, in order to improve the responsiveness of service orchestration systems.
Engineering degree or Master 2 in Computer Science or a related field, with an interest in distributed systems, cloud/edge computing, containerized architectures, performance modeling, adaptive algorithms and decision-making AI.
Applications must be submitted online on the Inria recruitment website. In addition, please send a single PDF file including a detailed CV, a cover letter, academic transcripts and two recommendation letters by email to christian.perez@inria.fr and farah.ait_salaht@devinci.fr.
Contact
Location
ESILV / DVRC
Pôle Universitaire Léonard de Vinci
92916 Paris La Défense, France