Explain differences between Cloud computing and Fog computing.

Cloud computing and Fog computing are both essential paradigms in modern distributed computing, particularly in the context of the Internet of Things (IoT). They differ in terms of architecture, processing capabilities, latency, security, and application domains. Understanding these differences is crucial to designing secure, efficient, and scalable IoT solutions.  

### 1. Definition  
- Cloud Computing refers to a centralized computing paradigm where resources such as computing power, storage, and applications are hosted in data centers and accessed remotely via the internet.  
- Fog Computing is a decentralized architecture where computing resources are placed closer to the devices, at the edge of the network, enabling localized data processing.  

### 2. Architecture  
- Cloud Computing follows a centralized architecture where all data is sent to remote servers for processing. These servers are hosted in large-scale data centers.  
- Fog Computing employs a distributed architecture, where intermediate nodes (fog nodes) handle processing before sending data to the cloud, reducing dependency on centralized servers.  

### 3. Latency  
- Cloud Computing has higher latency because data must travel from the edge devices to distant cloud servers and back. This delay can be problematic for real-time applications.  
- Fog Computing significantly reduces latency by processing data closer to the source, which is critical for time-sensitive IoT applications such as autonomous _____ _________ _____ ____ _________ ___ _______ __________ ______.
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