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6g-edge-computing-simulation-deployment

Simulation code for EdgeGO -- A resource sharing framework for 6G edge computing in massive IoT systems, https://ieeexplore.ieee.org/document/9375469/

adaplora-dataset

The dataset used in our paper published in IEEE ICDCS (AdapLoRa: Resource Adaptation for Maximizing Network Lifetime in LoRa Networks, https://ieeexplore.ieee.org/abstract/document/9259398)

awesome-edge-computing

A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.

awesome-edge-computing-1

边缘计算工程，从边缘计算概念、标准、软件系统、工程到商业应用。

baetyl

Extend cloud computing, data and service seamlessly to edge devices.

berrynet

Deep learning gateway on Raspberry Pi and other edge devices

book-resource-allocation

Simulation code for the book “Optimal Resource Allocation in Coordinated Multi-Cell Systems” by Emil Björnson and Eduard Jorswieck, Foundations and Trends in Communications and Information Theory, vol. 9, no. 2-3, pp. 113-381, 2013

cec-hello-world

Sample web application for Cloud and Edge Computing course

cgh-cnn

This project uses CNN to attack the encryption of CGH, which combines of the Fresnel and GS iterration.

cloudletoffload

cloudsim

Cloud scheduling simulator

cloudsim-1

A cloud simulation framework.

cloudsimulation

cluster-workload-estimator

cnn-ris

Improved CNN for Edge Computing Devices and Its Applications on Facial Expression Clasification

coord-sim

Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).

cqsim

cross-edge-computation-offloading

A python package of Cross-edge Computation Offloading (CCO) algorithm and its distributed version, Decor for Mobile Edge Computing (MEC).

dart

datacenterenergysimulator

ddnn

deep-q-learning-for-mobile-edge-computing

deep-reinforcement-learning-for-iot-network-dynamic-clustering-in-edge-computing

defog

Demystifying Fog Systems Using Container-based Benchmarking

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

dlsf

[TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments

drl-networking

Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.

droo

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

dynamic-module-placement-using-reinforcment-learning

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"