Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.
PureEdgeSim: A simulation framework for performance evaluation of cloud, fog, and pure edge computing environments.
A Realistic Mobile Edge Computing environment; with conditions for deadline and energy Energy-Constrained
Simulation code for "A max-min task offloading algorithm for mobile edge computing using non-orthogonal multiple access," by V. Kumar, M. F. Hanif, M. Juntti and L. -N. Tran, published in IEEE Transactions on Vehicular Technology, vol. 72, no. 9, pp. 12332-12337, Sept. 2023, doi: 10.1109/TVT.2023.3263791.
A lightweight framework that enables serverless users to reduce their bills by harvesting non-serverless compute resources such as their VMs, on-premise servers, or personal computers.
A Realistic, Versatile, and Easily Customizable Edge Computing Simulator.
Cognitive Generative Intelligent Task Offloading for Digital Twins of Vehicular Networks This repository contains the code and resources for the implementation of cognitive generative intelligent task offloading in digital twins for vehicular networks.
Distributed dependency-aware DAG task offloading and service caching in cloudlet edge computing (distributed DQN + guided action shaping + EMA caching). IEEE TSC 2026.
Evidence-grounded research wiki on mobile edge computing (MEC): paper notes with reusable system-model cards on UAV, satellite, vehicular, and maritime offloading, resource allocation, and trajectory design, plus cross-paper synthesis and audit tooling.
FDA Implementation on benchmark functions and Task-Offloading in Edge Cloud Environment
a fun CS M.Sc. thesis about edge auto-scaling
Multi-Agent Reinforcement Learning based Edge-Cloud Computing Offloading Framework using MAPPO and PureEdgeSim for 6G Networks.
A lightweight and deterministic MEC baseline simulator for comparing local, edge, and cloud execution policies.
Research code and reproducibility artifact for CARS: reliability-aware assignment and resource allocation in multi-user mobile edge computing.
Reproducible research artefact for QoE- and fairness-aware MEC task offloading, with paired experiments, ablations, sensitivity studies, and statistical analysis.
PT019 · AI-based mobility-aware task offloading in vehicular edge computing. A Deep Q-Network that learns live in the browser whether a vehicle should compute on board, offload to the RSU it is passing, or hand off to the next one.
Integrated Terminal-Database CLI Framework
M.Sc. thesis (completed): deep RL task-offloading policy for metaverse workloads in end-edge-cloud systems, single-agent vs multi-agent DQN / Dueling DQN.
Automated documentation with roles, cognitive design and human centric intentions (via HarnessX)
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