Edge computing enhances data privacy by processing sensitive information locally, reducing the need for extensive data transfers. This localized processing also contributes to improved security by minimizing the attack surface exposed to potential threats.

Edge computing follows a decentralized architecture, distributing computing resources across multiple edge devices. This approach reduces dependence on a centralized infrastructure, improving fault tolerance and ensuring continued operation in the event of network disruptions.

Cloud computing provides the scalability required to accommodate the vast number of IoT devices and the fluctuating workloads they generate. Organizations can easily scale their computational resources up or down based on demand.

Cloud computing facilitates centralized storage and processing of large volumes of IoT data. This centralized approach simplifies data management, analytics, and the extraction of valuable insights from diverse sources.

MOre info: What Is Infrastructure as a Service (IaaS)