Fog Computing and Its Role in the Internet of Things

Fog Computing and Its Role in the Internet of Things

August 17, 2012 | Flavio Bonomi, Rodolfo Milito, Jiang Zhu, Sateesh Addepalli
Fog Computing extends Cloud Computing to the network edge, enabling low-latency, location-aware applications. Key characteristics include wide geographical distribution, mobility, large-scale nodes, wireless access, real-time applications, and heterogeneity. This paper argues that Fog Computing is ideal for IoT services like Connected Vehicles, Smart Grids, and Wireless Sensor and Actuator Networks (WSANs). Fog provides localized data processing, reducing latency and enabling real-time interactions. It complements Cloud Computing in data management and analytics, with Fog handling near-source processing and Cloud managing global analytics. Fog supports mobility, geo-distribution, and heterogeneous environments. In Connected Vehicles, Fog enables real-time traffic coordination and safety features. In Smart Grids, Fog processes real-time data for protection and control. WSANs benefit from Fog's proximity and location awareness, supporting both sensing and actuation. Fog and Cloud work together, with Fog handling short-term analytics and Cloud managing long-term data. Fog Computing offers a unifying platform for new IoT services, requiring collaboration in architecture, orchestration, and innovative applications.Fog Computing extends Cloud Computing to the network edge, enabling low-latency, location-aware applications. Key characteristics include wide geographical distribution, mobility, large-scale nodes, wireless access, real-time applications, and heterogeneity. This paper argues that Fog Computing is ideal for IoT services like Connected Vehicles, Smart Grids, and Wireless Sensor and Actuator Networks (WSANs). Fog provides localized data processing, reducing latency and enabling real-time interactions. It complements Cloud Computing in data management and analytics, with Fog handling near-source processing and Cloud managing global analytics. Fog supports mobility, geo-distribution, and heterogeneous environments. In Connected Vehicles, Fog enables real-time traffic coordination and safety features. In Smart Grids, Fog processes real-time data for protection and control. WSANs benefit from Fog's proximity and location awareness, supporting both sensing and actuation. Fog and Cloud work together, with Fog handling short-term analytics and Cloud managing long-term data. Fog Computing offers a unifying platform for new IoT services, requiring collaboration in architecture, orchestration, and innovative applications.
Reach us at info@study.space
Understanding Fog computing and its role in the internet of things