EdgeCloudSim Simulation

Heart Monitoring App Scenario

Evaluating Edge vs Cloud Processing for Time-Sensitive Healthcare Applications

Simulation Parameters
  • Simulation Time: 60 minutes
  • Warm-up Period: 3 minutes
  • Mobile Devices: 100-500 (increments of 100)
  • VM Load Check Interval: 0.025 seconds
  • Location Check Interval: 0.005 seconds
  • AP Delay Check Interval: 0.1 seconds
Heart Monitoring App Configuration
  • Usage Percentage: 100%
  • Delay Sensitivity: 0.8 (High)
  • Max Delay Requirement: 1.5 seconds
  • Task Interarrival: 6 seconds (Poisson)
  • Active Period: 3600 seconds
  • Task Length: 1500 MI (Million Instructions)
Orchestrator Policies
RANDOM

Each time the execution location is chosen randomly between edge and cloud.

Random Selection
PREDICTIVE

Decides based on performance expectations (if edge is overloaded, uses cloud).

Predictive
GAME_THEORY

Uses game theory to choose the best location benefiting both user and system.

Game Theory
AI_BASED

AI-powered decisions based on real-time system data and historical patterns.

AI-Based
Simulation Goals
Performance Metrics
  • Measure service time changes with increasing users
  • Track number of failed tasks as load increases
  • Evaluate delay compliance (1.5s max requirement)
Focus on how system handles 100-500 concurrent users
Scenario Details
  • Realistic healthcare emergency scenario
  • 500 simulated patients using heart monitoring app
  • Critical decisions: Edge vs Cloud processing
  • Smart routing based on system state
High delay sensitivity (0.8) with 1.5s max requirement
Resource Utilization
Edge (Mobile Device)

Utilization: 30%

Tasks processed on edge with 30% load

Cloud VM

Utilization: 100%

Tasks processed on cloud with full load

View All Simulation Results