TD et TP dispensés : Infrastructure Cloud & Virtualization, Systèmes concurrents, Intergiciels, Applications web

Worked on demonstrating the double paging problem in runtimes by evaluating its impact on application latency, CPU usage, and the multiple disk I/O operations it generates.

Worked on integrating NUMA-awareness into a user-space memory management system, and contributed to the integration of a Machine Learning solution aimed at improving the swap process.

Worked on demonstrating that a memory allocator is equivalent to a scheduler. I implemented a system for transferring interrupts received by the scheduler into user space. I also studied scheduling techniques and ghOSt (SOSP ’21), developed by Google, which enables the definition of scheduling policies in user space.

Thesis on memory improvement by avoiding double paging anomaly in runtimes

Relevant Coursework : Numerical Analysis, Artificial intelligence, Data Science, Data analysis, Object-Oriented Programming Computer security, Project management, Software engineering, Electronics, Communication techniques, Network administration, UML design and modeling, Mobile and intelligent network, Database administration, Distributed systems and architectures, Management, Compatibility, English, Probability and statistics, Linear and multilinear algebra, Algorithmic, Real analysis, Physics