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Resource Provisioning in Fog Computing: From Theory to Practice †.
José Santos1, Tim Wauters2, Bruno Volckaert3
1Department of Information Technology, Ghent University-imec, IDLab, Technologiepark-Zwijnaarde 126, 9052 Gent, Belgium. josepedro.pereiradossantos@UGent.be.
Sensors (Basel, Switzerland)
|May 17, 2019
Summary
Fog Computing addresses Internet-of-Things (IoT) demands unmet by cloud architectures. A Kubernetes-based Fog architecture with network-aware scheduling reduces network latency by 70% for Smart City applications.
Area of Science:
- Computer Science
- Networking
- Distributed Systems
Background:
- Centralized cloud architectures struggle with the high traffic demands and low latency requirements of expanding Internet-of-Things (IoT) and Smart City services.
- Fog Computing emerges as a potential solution, but its theoretical foundations require practical validation and wider adoption.
- Intelligent resource allocation is crucial for efficient Fog environments.
Purpose of the Study:
- To propose and evaluate a Fog Computing architecture for IoT services in Smart Cities.
- To introduce a network-aware scheduling approach for containerized applications within this Fog architecture.
- To demonstrate the practical applicability of theoretical optimization models in real-world deployments.
Main Methods:
- Implementation of a Fog architecture using Kubernetes, an open-source container orchestration platform.
- Development of a network-aware scheduling extension for Kubernetes to optimize container placement.
- Validation of an IoT service optimization formulation as a container-based application within Kubernetes.
Main Results:
- The proposed Kubernetes-based Fog architecture effectively supports IoT services.
- The network-aware scheduling approach significantly outperforms the default Kubernetes scheduler.
- Evaluations demonstrated a 70% reduction in network latency compared to standard scheduling.
Conclusions:
- The proposed Fog architecture and scheduling mechanism are practical solutions for demanding IoT and Smart City applications.
- Kubernetes provides a viable platform for deploying and managing Fog Computing environments.
- This work bridges the gap between theoretical Fog Computing concepts and practical, high-performance service deployments.
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