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dynamic-request-scheduling-optimization-in-mobile-edge-computing-for-iot-applications

This project is the implementation of the research paper titled "Dynamic Request Scheduling Optimization in Mobile Edge Computing for IoT Applications"

edge-computing-codes

Simulation of algorithms for Edge Computing-related papers.

edgesim

Simulate the real environment, perform edge computing, edge caching experiments

emufog

EmuFog: Extensible and Scalable Emulation of Large-Scale Fog Computing Infrastructures

energy-efficient

energy-languages

The complete set of tools for energy consumption analysis of programming languages, using Computer Language Benchmark Game

energy-py-linear

Optimizing energy systems using mixed integer linear programming

eua-dataset

Edge server, user dataset for Edge Computing research

example-code

Example code for the book Fluent Python, First Edition (O'Reilly, 2015)

face-recognition-system

Intelligent Facial Recognition with Django Restful IoT on Raspberry Pi

face_recognition

The world's simplest facial recognition api for Python and the command line

fc-ss2021

Fog Computing Summer Semester 2021

fedl

Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation

felare

This is the code for the paper published in IEEE Cloud Computing 2022

fire-detection-using-python

Fire detection without using sensor

fl-dlt3

flappy-bird-deep-q-learning-pytorch

Deep Q-learning for playing flappy bird game

flask

The Python micro framework for building web applications.

flask-cloudy

A Flask extension to access, upload, download, save and delete files on cloud storage providers such as: AWS S3, Google Storage, Microsoft Azure, Rackspace Cloudfiles, and even Local file system

flask-iot-analytics

A web application for presenting dynamic charts for IoT data

flask-restful

Simple framework for creating REST APIs

flasky

Companion code to my O'Reilly book "Flask Web Development", second edition.

fog-computing---a-brief-analysis-in-the-implementation-of-internet-of-things

The advancement of the Internet of Things has revolutionized the world we live in today. With this expansion, there comes a need for methods that can handle the vast amount of data being generated by the IoT. Fog computing is one such paradigm. It mitigates high-latency and provides better bandwidth utilization, thereby increasing agility and productivity of a network. This paper starts with a brief review of what fog computing is, its components and architecture. Next, to demonstrate the superiority of fog-computing as compared to cloud-based infrastructures, we developed an accident detection application to compare the difference in the response time of fog and cloud. We monitored the response time as well as data usage and have presented plots for the same.

fog-computing-tuberlin

Fog Computing Course project

fog21

A simple fog application for the 2021 TU Berlin Fog Computing course

fogbed

Fog computing emulation platform

fogbus2

FogBus2: A Lightweight and Distributed Container-based Framework for Integration of IoT-enabled Systems with Edge and Cloud Computing

fogcomputing

This is a fog computing framework consisting of fog node application, cloud application and user application.

fogcomputingfarmplacement

fogify

A Fog Computing Emulation Framework