YAFS: A simulator for IoT scenarios in fog computing
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Abstract (arXiv)
We propose a fog computing simulator for analysing the design and deployment of applications through customized and dynamical strategies. We model the relationships among deployed applications, network connections and infrastructure characteristics through complex network theory, enabling the integration of topological measures in dynamic and customizable strategies such as the placement of application modules, workload location, and path routing and scheduling of services. We present a comparative analysis of the efficiency and the convergence of results of our simulator with the most referenced entity, iFogSim. To highlight YAFS functionalities, we model three scenarios that, to the best of our knowledge, cannot be implemented with current fog simulators: dynamic allocation of new application modules, dynamic failures of network nodes and user mobility along the topology.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 Feb 2019.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 2; 2024: 2; 2025: 1; 2026: 1.
8 papers.
- 2022Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature reviewcited by 6
- 2023Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarioscited by 1
- 2023Lifelong Learning for Fog Load Balancing: A Transfer Learning Approachcited by 1
- 2024Fully Distributed Fog Load Balancing with Multi-Agent Reinforcement Learningcited by 1
- 2025Adaptive AI-based Decentralized Resource Management in the Cloud-Edge Continuumcited by 1
- 2021A Data Quarantine Model to Secure Data in Edge Computingcited by 0
- 2024SafeTail: Efficient Tail Latency Optimization in Edge Service Scheduling via Computational Redundancy Managementcited by 0
- 2026CRAWO: Custom Resources for Adaptive Workload Orchestrationcited by 0
- 2026CRAWO: Custom Resources for Adaptive Workload Orchestration8 Jun 2026
- 2025Adaptive AI-based Decentralized Resource Management in the Cloud-Edge Continuum27 Jan 2025
- 2024SafeTail: Efficient Tail Latency Optimization in Edge Service Scheduling via Computational Redundancy Management30 Aug 2024
- 2024Fully Distributed Fog Load Balancing with Multi-Agent Reinforcement Learning15 May 2024
- 2023Lifelong Learning for Fog Load Balancing: A Transfer Learning Approach8 Oct 2023
- 2023Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarios20 Feb 2023
- 2022Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review29 Apr 2022
- 2021A Data Quarantine Model to Secure Data in Edge Computing15 Nov 2021