The rapid growth of the Internet of Things (IoT) and the increasing need for real-time data processing have led to the emergence of a new computing paradigm called edge computing. As more devices connect to the internet and generate vast amounts of data, traditional centralized cloud computing struggles to keep pace with the demand for low-latency, high-bandwidth communication. This article aims to provide a deeper understanding of edge computing, its benefits challenges, and a detailed examination of its application in Amazon and Facebook use cases.

Understanding Edge Computing

Edge computing is a distributed computing model that moves data processing and storage closer to the source of data generation. Instead of relying solely on centralized cloud data centers, edge computing enables processing to occur at the “edge” of the network, using devices like IoT sensors, local servers, or edge data centers. This approach reduces the amount of data transmitted to and from central data centers, thus easing the burden on network infrastructure and improving overall performance.

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