DISSECT-CF-Fog: A Simulation Environment for Analysing the Cloud-to-Thing Continuum

About

The evolution of the DISSECT-CF-Fog simulator has been underway since 2016 within the IoT Cloud Research Group at the University of Szeged, Hungary. It is built upon the DISSECT-CF infrastructure cloud simulator. The stable version is able to investigate the trade-offs of offloading algorithms as well as execute the scheduling of IoT workflow jobs. Main features:

• Simulating hundreds of fog and cloud nodes
  • Measuring energy consumption of the nodes
• Simulating IoT applications utilising the physical resources by virtual machines
  • Measuring makespan of the IoT applications
• Modelling thousands of IoT devices and sensors
  • Measuring energy consumption of the IoT devices
  • Detailed characteristics of the IoT entities
• Modelling IoT actuator events and IoT device mobility
  • Task execution on Edge devices
• Calculating IoT and cloud costs by considering real provider's (AWS, Azure) schemas

The project currently consists of five modules; for further details please follow the links provided below:

1. Simulator

The discrete-event, core simulator module focusing on the interoperation and analysis of IoT-Fog-Cloud systems.

2. Web Application

An Angular-based web application module that can be used to set up a simulation and its parameters without programming.

3. Executor

A Spring Boot-based executor module that is able to load and execute configurations stored in a MongoDB, created by the web application module.

4. Predictor UI

An Electron.js-based desktop application module that helps configure and manage scenarios utilising the time series analysis functionality of the core simulator.

5. Converter

Initial version of a converter module that is able to transform simple CloudSim and iFogSim scenarios to simulation in DISSECT-CF-Fog, and vice versa.

Relevant Publications

• A. Markus, A. Al-Haboobi, G. Kecskemeti and Attila Kertesz. Simulating IoT Workflows in DISSECT-CF-Fog. Sensors 23, no. 3: 1294, 2023. DOI: 10.3390/s23031294

• A. Markus, J. D. Dombi and A. Kertesz. Location-aware Task Allocation Strategies for IoT-Fog-Cloud Environments. 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, 185-192, 2021. DOI: 10.1109/PDP52278.2021.00037

• A. Markus, P. Gacsi and A. Kertesz. Develop or Dissipate Fogs? Evaluating an IoT Application in Fog and Cloud Simulations. 10th International Conference on Cloud Computing and Services Science, 193-203, 2020. DOI: 10.5220/0009590401930203

Contact

For any inquiries please contact by email to: markusa@inf.u-szeged.hu