Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.
A Realistic Mobile Edge Computing environment; with conditions for deadline and energy Energy-Constrained
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.
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 Realistic, Versatile, and Easily Customizable Edge Computing Simulator.
本项目是我发表于期刊 Expert Systems with Applications 的论文《Energy-efficient mechanism of task offloading and resource allocation for hierarchical MEC in UAV-assisted mmWave IABN》的官方代码实现。我们提出了一种基于深度学习的方法,旨在最小化复杂的无人机辅助边缘计算网络中的系统能耗,同时保证服务质量。
FDA Implementation on benchmark functions and Task-Offloading in Edge Cloud Environment
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.
Mission Assignment and Task Offloading in Open RAN-based ITS This project provides the implementation of metaheuristic and deep reinforcement learning (DRL) algorithms for optimizing mission assignment and task offloading in Open RAN-enabled Intelligent Transportation Systems (ITS).
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