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5g-trmf

5G-enabled Trust and Reputation Management Framework (5G-TRMF)

adaptive-federated-learning

Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"

alpha-testbed

Alpha Testbed is a tool for benchmarking trust and reputation models

auctionfog

Master thesis work in fog computing, MQTT and auctioning mechanisms.

bitcoin-simulator

Bitcoin and Blockchain Simulator

blockchain-reputation

Blockchain reputation-based trust management system

blockchain-trust

Trust management for IoT devices based on Blockchain

certprop

Implementation of CertProp Trust Model in MATLAB

cloud-computing--research-project

I worked on Cloud Computing related to fog Computing and implemented paper ”Edge Affinity-based Management of Applications in Fog Computing Environments”.Here I implemented two Algorithm one for “classifying application”and “application selection”.

computation-offloading-based-on-dqn

Joint strategy design on edge computing offloading based on deep reinforcement learning

csi4101-software-capstone-design

Network aware load balancing for edge/cloud computing using deep reinforcement learning

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

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

dependency-aware-computation-offloading-for-mobile-edge-computing-with-edge-cloud-cooperation

The code for paper titled "Dependency-Aware-Computation-Offloading-for-Mobile-Edge-Computing-with-Edge-Cloud-Cooperation"

directed-acyclic-graph-for-peer-to-peer-distributed-communication-in-vehicular-network

Internet of things(IoT) and Internet of Vehicles(IoV) are the buzz words today. Building a smart vehicle running on a smart road that could respond to the very urgent requests such as reporting an accident ahead or basic requests such as down- loading a song at the blink of an eye is the hottest topic researchers and computer scientists are working on. The latest testing and later the rolling out of 5G technology will prove to be a boon in providing the required speed, which will further enhance safety as well as Quality-of-service(QoS) concerns. Hashgraphs, a superior distributed ledger technology, is used to create a communication network between various ve- hicles and other essential parameters. The decentral- ized system will check any delay in responses through the inherent consensus process, which is the USP of hashgraph. Scheduling the requests is done according to the priorities to provide a better Quality-of-Service. We have also compared why hashgraph surpasses other counter-parts such as generic blockchain or ethereum. The proposed model is simulated using Omnetpp simulation by making proper design and network description files. Messages can be seen getting transferred between the vehicles, and hashgraph is implemented for prioritizing the messages

drl-networking

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

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

elastic-resource-allocation

Research project on Resource-elastic tasks for edge cloud computing

eq2-routing-public

Repository for the ns3 implementation of enhanced Q-routing with QoS

finding_all_edges_on_any_shortest_path_between_two_given_nodes_of_dag_using_parallel_computing

fog-computing

fog-computing-1

Implemented the functionality of a node in distributed system in the context of Fog Computing. The project aims to reduce the response time delay for requests coming from the IoT nodes by processing them at fog nodes which are usually 1-2 hops away.

fognode_iot

Designing Fog Nodes, in relevence to Cloud Computing and IoT. See pdf for details,

ga4fogplacement

Genetic algorithms for the placement of services in Fog domains

gene

Generative Exploration and Exploitation

globecom2020-resourceallocationgnn

Code for Globecom2020 paper: Resource Allocation based on Graph Neural Networks in Vehicular Communications

gym

A toolkit for developing and comparing reinforcement learning algorithms.

introrl

Intro to Reinforcement Learning (强化学习纲要）

ltms

A Lightweight Trust Management System

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归