Abstract:
Edge/fog computing is a key enabling technology in 5G and beyond for fulfilling the tight latency requirements of emerging vehicle applications, such as cooperative and a...Show MoreMetadata
Abstract:
Edge/fog computing is a key enabling technology in 5G and beyond for fulfilling the tight latency requirements of emerging vehicle applications, such as cooperative and autonomous driving. Vehicular fog computing (VFC) is a cost-efficient deployment option that complements stationary fog nodes with mobile ones carried by moving vehicles. To plan the deployment and manage the VFC resources in the real world, it is essential to consider the spatiotemporal variations in both demand and supply of fog computing capacity and the tradeoffs between achievable quality-of-services and potential deployment and operating costs. The existing edge/fog computing simulators, such as IFogSim, IoTSim, and EdgeCloudSim, cannot provide a realistic technoeconomic investigation to analyze the implications of VFC deployment options due to the simplified network models in use, the lack of support for fog node mobility, and limited testing scenarios. In this article, we propose an open-source simulator VFogSim that allows real-world data as input for simulating the supply and demand of VFC in urban areas. It follows a modular design to evaluate the performance and cost efficiency of deployment scenarios under various vehicular traffic models, and the effectiveness of the diverse network and computation schedulers and prioritization mechanisms under user-defined scenarios. To the best of our knowledge, our platform is the first one that supports the mobility of fog nodes and provides realistic modeling of vehicle-to-everything in 5G and beyond networks in the urban environment. Furthermore, we validate the accuracy of the platform using a real-world 5G measurement and demonstrate the functionality of the platform taking VFC capacity planning as an example.
Published in: IEEE Systems Journal ( Volume: 17, Issue: 3, September 2023)
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- IEEE Keywords
- Index Terms
- Fog Computing ,
- Vehicular Fog Computing ,
- Service Quality ,
- Supply And Demand ,
- Real-world Data ,
- Cost Efficiency ,
- Traffic Flow ,
- Latency Requirements ,
- Capacity Planning ,
- Mobile Nodes ,
- Deployment Scenarios ,
- Real-world Measurements ,
- Fog Nodes ,
- Static Nodes ,
- Resource Allocation ,
- Data Rate ,
- Computational Resources ,
- Object Detection ,
- Base Station ,
- Time Slot ,
- Transmission Time Interval ,
- Signal-to-interference-plus-noise Ratio ,
- Arrival Rate ,
- Acceptance Ratio ,
- Service Price ,
- Edge Computing ,
- Simulated Networks ,
- Achievable Rate ,
- Pricing Strategy ,
- Resource Allocation Scheme
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Fog Computing ,
- Vehicular Fog Computing ,
- Service Quality ,
- Supply And Demand ,
- Real-world Data ,
- Cost Efficiency ,
- Traffic Flow ,
- Latency Requirements ,
- Capacity Planning ,
- Mobile Nodes ,
- Deployment Scenarios ,
- Real-world Measurements ,
- Fog Nodes ,
- Static Nodes ,
- Resource Allocation ,
- Data Rate ,
- Computational Resources ,
- Object Detection ,
- Base Station ,
- Time Slot ,
- Transmission Time Interval ,
- Signal-to-interference-plus-noise Ratio ,
- Arrival Rate ,
- Acceptance Ratio ,
- Service Price ,
- Edge Computing ,
- Simulated Networks ,
- Achievable Rate ,
- Pricing Strategy ,
- Resource Allocation Scheme
- Author Keywords