A Realistic, Versatile, and Easily Customizable Edge Computing Simulator.

An experimental implementation of QUIC server migration on top of mvfst

Building a custom digital voice assistant without security worries or wireless Internet is possible thanks to machine learning algorithms and powerful embedded hardware.

Toolkit to bring computing to the edge and create virtual overlay networks fast.

A Realistic, Versatile, and Easily Customizable Edge Computing Simulator.

Edge analytics is an approach to data collection and analysis in which an automated analytical computation is performed on data at a sensor, network switch or other device instead of waiting for the data to be sent back to a centralised data store.

A performance evaluation of QUIC server migration

TinyML stuff done on my Arduino Nano 33 BLE Sense

실시간 이미지 처리 모델을 위한 모바일, 클라우드 영상 전송 파이프라인 개발

Multiplexed-topics on nodelets

Complete project is now available at https://github.com/sedgecloud

毕设 EdgeTile 边端结合

Handwritten digit recognition demo

Integrates NVIDIA GPUs for HPC and edge computing. Leveraging CUDA, Jetson, and Triton Inference Server, it offers real-time data processing with Kafka and Spark. Scalable microservices with Spring Boot, Docker, Kubernetes, robust security, and CI/CD with Jenkins make it ideal for advanced computational tasks. @NVIDIA

TensorFlow Lite for Microcontrollers brings deep neural network algorithms to embedded platforms such as NXP’s i.MX RT1050 microcontroller.

ECAS is a library for edge AI computing acceleration.

Application Data Distribution in Edge Computing

Edge+Autodriving demo system.

Xilinx DPU(Vitis AI)を用いたエッジAI実現に向けたサンプルプログラム

Offload object detection and ORBSLAM2 simultaneously from android client to servers via multipath.