Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
More topics should be updated, but currently I do not have time…
Mis à jour :
More topics should be updated, but currently I do not have time…
Applied AI/ML for High-Speed Software Networks
Mis à jour :
Time duration
- 2022.10 – Present
- Beyond 5G (funding)
Content
- Non-intrusive network measurement: Instead of directly collecting packet- and flow-level features, we explore the low-level hardware features ubiquitously available in modern commodity hardware, such as the CPU cores, multi-level caches, memory subsystem, and PCIe buses, which have minimal impact on normal network operations.
- Performance diagnosis: We develop predictive models to infer performance impairments and deduce the associated bottlenecks in high-speed NFV data plane.
- Performance optimization: We implement a Deep Reinforcement Learning (DRL)-based framework to pinpoint resource contentions at runtime and automatically adjust the Last-level Cache allocation to optimize the end-to-end service performance, e.g., throughput, latency, and energy efficiency.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Load Balancing Game in Loss Communication Networks
Published in , 1900
Queue Analysis with Finite Buffer by Stochastic Geometry in Downlink Cellular Networks
Published in , 1900
A Tractable Coverage Analysis in Dynamic Downlink Cellular Networks
Published in , 1900
Transmission Policies Based on Learning by Reinforcement and Stochastic Geometry for Dynamic Cellular Networks
Published in , 1900
Analysis of the Epsilon-stable Region in Dynamic Downlink Cellular Networks
Published in , 1900
Operationalizing AI/ML in Future Networks: A Bird’s Eye View from the System Perspective
Published in , 1900
Distributed Decisions on Optimal Load Balancing in Loss Networks
Published in , 1900
Proactive VNF Redeployment and Traffic Routing for Modern Telco Networks
Published in , 1900
Non-invasive Performance Diagnosis of Virtual Network Functions with Limited Knowledge
Published in , 1900
Stochastic geometry-based MCS adaption for uplink networks
Published in , 1900
Bontent Attacks from Birth to Grave - An In-network AI/ML Approach
Published in , 1900
Towards Automated LLC Allocation in High-speed Softwarized Networks based on DDQN
Published in , 1900
The contents above will be part of a list of publications, if the user clicks the link for the publication than the contents of section will be rendered as a full page, allowing you to provide more information about the paper for the reader. When publications are displayed as a single page, the contents of the above “citation” field will automatically be included below this section in a smaller font.
Toward Noninvasive Performance Dissection for High-speed Software Data Plane
Published in , 1900
talks
Talk 1 on Relevant Topic in Your Field
Mis à jour :
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Mis à jour :
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Wireless Networks Access Protocols
I am responsible for this 24-hour lecture course under third-year engineering students at Telecom Paris, coordinated by Prof. Marceau Coupechoux., , 2023
Course Content:
Access and scheduling issues in wireless networks, including:
- Cellular access.
- Scheduling algorithms.
- CSMA/CD (Ethernet), CSMA/CA (WiFi).
- Modern MAC protocols based on interference cancellation.
[Java] Object oriented programming
I am responsible for this 64-hour lecture course under third-year engineering students at CYU-tech., , 2024
Location:
CYU-tech.
Probability and Statistics for Signals and Networks
I am responsible for this 40-hour lecture course under the Master program in Intelligent and Communicating Systems., , 2024
Course Content:
- Discrete and continuous probability distributions.
- Law simulations and experiment modeling.
- Statistical parameters (mean, variance, skewness, kurtosis), estimators.
- Conditional probabilities.
- Probabilistic algorithms: Las Vegas, Monte Carlo, Markov Chains.
- Hidden Markov Models, Viterbi algorithm.
- Queueing theory and network simulation.
Machine Learning for Networks
This 45-hour course focuses on understanding the basics of Machine Learning and applying it to problems in Computer Networks. I was responsible for part of it., , 2024
Lectures:
- Introduction:
- Regression
- Regression (continued) and Classification
- Neural Networks
- Trees and Ensembles
- Unsupervised Learning: Clustering and Anomaly Detection
- Dimensionality Reduction for Anomaly Detection and Supervised Learning
Advanced Networks (Réseaux 2)
I am responsible for this 50-hour lecture course under the Master program in Intelligent and Communicating Systems., , 2024
Course Content:
This course covers advanced network tools and methods.
- Advanced IP Networks:
- Multicast: Principles, protocols, and programming.
- IPv6
- WIFI
- Advanced Cryptography
- IT Security.
- Security of networks, data, data exchanges, and infrastructures.
- Confidentiality, Availability, Integrity.
- Network redundancy protocols and application-level redundancy protocols.
- Clustering concepts.
- Availability in terms of “number of nines.”
- Single Point of Failure (SPOF) detection and mitigation.
Location:
CYU.
Mobile Programming
I am responsible for this 30-hour lecture course under third-year bachelor students at CYU-tech., , 2024
Location:
CYU-tech.