This project leverages a Java-based simulator, built upon iFogSim, to model and analyze [mention specific scenarios or applications you're simulating. For example: intelligent video surveillance in data center networks, or EEG-based control systems]. This simulator extends iFogSim with FogFaaS features, as implemented in the ParallelProcessingLab/fogfaas repository. It provides a flexible environment for simulating fog computing deployments and evaluating the performance of distributed applications.
iFogSim is a toolkit for simulating fog and cloud computing environments. It allows researchers and developers to:
- Model Fog and Cloud Infrastructure: Define and simulate the architecture of fog and cloud deployments, including devices, fog nodes, and cloud data centers.
- Simulate Application Workloads: Model the behavior of applications running in the fog environment, including task dependencies and resource requirements.
- Evaluate Performance Metrics: Measure key performance indicators (KPIs) such as latency, energy consumption, and network bandwidth utilization.
- Cost Analysis: Analyze the cost associated with deploying and running applications in a fog environment.
FogFaaS Extension: This project extends the core iFogSim functionality with specific features related to Fog Functions as a Service (FogFaaS), enabling you to:
- Model Function Deployment: Simulate the deployment of lightweight functions (FaaS) to fog nodes.
- Experiment with Function Scheduling: Evaluate different function scheduling policies for optimizing performance.
- Analyze Function Performance: Track the execution time and resource consumption of individual functions.
This project provides example simulation scenarios located in the src/org/fog/serverless/examples directory.(https://github.com/ParallelProcessingLab/fogfaas/tree/main/src/org/fog/serverless/examples) contains the following example implementations:
- DCNS_FogFaaS.java: Implements a Data Center Network Intelligent Servileness Simulation (DCNS) using FogFaaS.
- VRGame_FogFaaS.java: Implements a EEG simulation using FogFaaS. This demonstrates the use of FogFaaS in a latency-sensitive application.
These examples demonstrate key FogFaaS features and provide a starting point for developing your own simulations.
These instructions will guide you on how to set up and run the simulations in this project.
- Java Development Kit (JDK): Ensure you have a compatible JDK (e.g., JDK 8 or later) installed on your system.
- Eclipse IDE: This project is designed to be built and run within the Eclipse IDE.
- Clone the Repository:
git clone https://github.com/ParallelProcessingLab/fogfaas
cd fogfaasImport into Eclipse: Import the project into your Eclipse IDE as an existing Java project.
Navigate to the Source Code: In Eclipse, navigate to the src/org/fog/serverless/examples directory in the Project Explorer. Run the Simulation: Right-click on either DCNS_FogFaaS.java or VRGame_FogFaaS.java and select "Run As" -> "Java Application".
Refer to the comments within the Java code for specific instructions and configuration options for each simulation.
README.md: This file. src/main/java or src: Source code directory (Java). The core simulation logic is located within the src/org/fog/serverless/ package.
If you use this code, please cite the research paper:
@ARTICLE{Ghaseminya2025,
title = "Fogfaas: providing serverless computing simulation for iFogSim
and edge cloud",
author = "Ghaseminya, Mohammad Mahdi and Shahzadeh Fazeli, Seyed Abolfazl
and Abouei, Jamshid and Abbasi, Elham",
journal = "The Journal of Supercomputing",
volume = 81,
number = 5,
pages = "666",
month = mar,
year = 2025
}
iFogSim Official Documentation: https://github.com/Cloudslab/iFogSim
FogFaaS Repository: https://github.com/ParallelProcessingLab/fogfaas
Pull Request!