LENS: A LEO Satellite Network Measurement Dataset
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Updated
May 5, 2024 - Python
LENS: A LEO Satellite Network Measurement Dataset
PyTorch implementation of Straggler-Aware Layer-Wise Low-Latency Federated Learning
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
Benchmarks for data processing systems: Pathway, Spark, Flink, Kafka Streams
Full conference version of PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework
Implemented RNN with LSTM to predict queries for retrieving weather data from the ECMWF. The study investigated data pre-processing, hyperparameter tuning, model, architecture and training. The model achieved 91% accuracy. The work will significantly reduce large data fetching latency from tape systems which are slow unlike disk drives
ROS Network Analysis Package: This is a ROS package that provide tools to analyze the wireless network such as the signal quality, latency, throughput, link utilization, connection rates, error metrics, etc., between two ROS nodes/computers/machines.
Repository riset untuk minggu kedua Bulan Agustus
This is a simple network monitoring tool written in Python. It pings the specified hosts continuously and provides real-time latency, success rate, jitter, and other details in a neatly formatted table.
A simple standalone script to plot HdrHistograms directly from the output of wrk load testing tool
[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
Utilities to perform deep learning models benchmarking (number of parameters, FLOPS and inference latency)
Module and command-line tool to measure latency using TCP.
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