FairPlay: Mobile Edge Computing Resource Optimization

A MATLAB-based framework for optimizing computation resource utilization in mobile edge computing environments with aging-aware task scheduling.

Project Overview

This project implements two algorithms for edge computing resource management:

• With Twice Pass: Advanced algorithm with aging-aware scheduling and path optimization
• Without Twice Pass: Baseline algorithm without secondary task unloading

Features

• Aging-aware task prioritization
• Dynamic path planning with 2-OPT optimization
• Storage-constrained scheduling
• Multiple performance analysis scripts

File Structure

• MainScripts/: Analysis scripts for different scenarios
• CoreFunctions/: Core algorithm implementations

Requirements

• MATLAB R2020a or later
• Statistics and Machine Learning Toolbox

Usage

Run any of the main analysis scripts:

• ResourceUtilization_Distance.m: Distance impact analysis
• ResourceUtilization_IoTScale.m: IoT scale analysis
• ResourceUtilization_ComputationOverhead.m: Computation overhead analysis
• Aging.m: Main aging-aware scheduling analysis

Results

The project compares computation resource utilization between the two algorithms across different parameters (distance, device count, computation overhead).

Publication

Research paper forthcoming - will be added upon completion