A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating the Dueling Double Deep Q-Network (D3QN) model with Long Short-Term Memory (LSTM) networks.

Predicting network performance at scale

[ACM SIGCOMM 2024] "m3: Accurate Flow-Level Performance Estimation using Machine Learning" by Chenning Li*, Arash Nasr-Esfahany*, Kevin Zhao, Kimia Noorbakhsh, Prateesh Goyal, Mohammad Alizadeh, Thomas Anderson.

Network emulation for writing integration tests in Go

Data Link (Layer 2) Traffic Generator/Performance Tool

⏱️ Test speed from your server

Simple python network benchmark that you can ride on!

Minimal ndt7 client written in Go

The Viya Perf Tool is a Bash script that measures network and/or storage I/O performance on SAS Viya 3.5 hosts running RHEL or CentOS 7.x.

Minimal ndt7 server written in Go

Projet INSA 4e année : étudier et recréer manuellement les mécanismes TCP de contrôle de congestion : sliding window, slow-start, congestion avoidance, fast retransmit, fast recovery...

A simple network simulation with ns-3 to compare two types of data traffic.

firecracker의 네트워크 성능 개선 연구 [차량용 목적] // firecracker는 file I/O 속도가 빠르지만, 네트워크 성능이 kata 대비 떨어짐

DrNetwork DLLTAgent to discover connectivity, performance and security issues in applications

컨테이너 환경에서 network, CPU 간의 종속성을 고려하여 네트워크 SLO를 달성하기 위한 연구

Run ndt7 using puppeteer

Supporting page for the manuscript titled "Unveiling Latency-Induced Service Degradation: A Methodological Approach with Dataset"

Optimize Performance for Keiko Corp Startup

컨테이너 환경에서 각 컨테이너의 네트워크 목표 성능 달성을 위해 필요한 CPU 양을 트레이닝을 통해 예측하고, 이로써 네트워크 성능 달성을 가능하게 하는 연구. (DepCon의 확장 연구)

Homeworks from the Multimedia section of Computer Networks, Computer Engineering course at University of Padua