Associate Professor in Computer Science
"Léonard de Vinci Pôle Universitaire, Research Center, 92 916 Paris La Défense, France"
💡 Learn more about me on:
📫 Contact info:
- Email:
farah.ait_salaht@devinci.fr
Research keywords: "System modeling, analysis and optimization; Uncertainty in probabilistic models; ICT infrastructures : Cloud, Fog, and Edge Computin; Energy consumption and QoS guarantees; Artificial intelligence; Stochastic comparison; Resource provisioning, Placement strategies; Performance evaluation...
Teaching keywords: AI algorithms for decision making, Data science, Performance evaluation of networks and systems, Simulation, Operation research, Graph theory, Algorithmic & Programming language, DataBase
Conference organization
- Organization of a thematic day dedicated to the services placement problem in Fog / Edge Computing , June 2018, Grenoble.
- Member of the steering committee: AlgoTel 2017 and CoRes 2017.
- Member of technical program committee: PESARO’18’19.
- Lead discussion sessions: IO Lab 2018, The 13th Cloud Control Workshop 2018.
- Reviewer for: CLUS, CSUR, PARCO, TPDS, TCC, ICC, COMP, CloudCom, FGCS...
Recent Talks (All)
- Where Fog/Edge global services should be deployed?. Methodes team seminar, Telecom SudParis, France, May 2020. .
- Deployment of services in Fog Computing. Working group Avalon team, ENS Lyon, France, December 2018. .
- Provisionnement de ressources dans un environnement Fog / Edge Computing. Workshop animation - Journées I/O Lab, Châtillon-Orange, France, October 2018.
- Deployment of services in Fog Computing. Scientific Meeting Stack team, IMT Atlantique Nantes, France, October 2018.
- Service Placement Problem in Fog/Edge Computing. Fog Placement meeting, Inria Grenoble, France, June 2018.
- Where should be deployed Fog/Edge global services ?. Scientific Meeting CORSE team, INRIA Grenoble, France, February 2018.
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Recent Publications (All)
- An overview of service placement problems in Fog and Edge Computing. Farah Ait Salaht, Frédéric Desprez, Adrien Lebre. ACM Computing Surveys, 2020. https://doi.org/10.1145/3391196.
- Service Placement in Fog Computing Using Constraint Programming. Farah Ait-Salaht, Frédéric Desprez, Adrien Lebre, Charles Prud’homme and Mohamed Abderrahim. IEEE SCC, 2019.
- Analysis of performance and energy consumption in the cloud. Mehdi Kandi, Farah Ait Salaht, Hind Castel-Taleb, Emmanuel Hyon. 14th European Performance Engineering Workshop (EPEW), 2017.
- Stochastic Bounds for Switched Bernoulli Batch arrivals observed through measurements. Farah Ait Salaht, Hind Castel-Taleb, Jean-Michel Fourneau and Nihal Pekergin. 24th International Conference ASMTA, 2017.
- Compromis entre énergie et performance dans le cloud. K. Kandi, F. Aït-Salaht, H. Castel-Taleb et E. Hyon. Rencontres Francophones Cores, 2017.
- Calcul des seuils optimaux d'une politique à hysteresis pour un modèle de cloud.K. Kandi, F. Aït-Salaht, H. Castel-Taleb et E. Hyon. 18ème Congrès ROADEF, 2017.
- Performance analysis of a queue by combining stochastic bounds, real traffic traces and histograms. Farah Ait Salaht, Hind Castel-Taleb, Jean-Michel Fourneau and Nihal Pekergin. The Computer Journal. DOI 10.1093/comjnl/bxw032, 2016.
- Bounding aggregations on phase-type arrivals for performance analysis of cloud. Farah Ait Salaht, Hind Castel-Taleb. Forthcoming in: The IEEE Computer Society's MASCOTS 2016 Proceeding, September 2016.
- Stochastic Bounds and Histograms for Active Queues Management and Networks Analysis. Farah Ait Salaht, Hind Castel-Taleb, Jean-Michel Fourneau and Nihal Pekergin. Forthcoming in: The 23rd International Conference on Analytical & Stochastic Modelling Techniques & Applications (ASMTA) Proceeding, August 2016.
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Project (All)
- DISCOVERY: "The Discovery Initiative - Beyond the Clouds ( Inria Project Labs)".
- CADO : "Comparaison stochastique pour Agrégation des DOnnées". DEFI : « MASTODONS » 2017.
Student Supervision (Details)
- Mohamed Mehdi KANDI (internship Master 2). Garantie de la QoS et de la consommation énergétique dans le cloud. 2016.