In the ever-evolving world of technology, new buzzwords emerge frequently, captivating our attention and leaving us curious. Edge computing is one such term gaining significant traction recently.
But what exactly is it, and why is it causing such a stir? Let's dive in and explore this fascinating concept.
Understanding the Edge Computing:
At its core, edge computing involves processing data closer to where it's generated, rather than relying solely on centralised cloud data centers. This means bringing computation and storage capabilities to the "edge" of the network, closer to devices like smartphones, sensors, and IoT gateways. The goal is to reduce latency, enhance responsiveness, and enable real-time decision-making for a wide array of applications.
Edge Computing vs. Other Models:
Edge computing differs some of the core concepts from other computing models;
Cloud Computing: While the cloud offers scalability and centralised management, it can introduce latency due to the distance data travels. Edge computing complements the cloud by handling time-sensitive tasks locally, while still leveraging the cloud for heavy lifting and storage.
Fog Computing: Fog computing is similar to edge computing but typically operates at a slightly higher level, closer to the network core. It acts as an intermediary between edge devices and the cloud, providing additional processing power and storage.
Fog Computing: Fog computing is similar to edge computing but typically operates at a slightly higher level, closer to the network core. It acts as an intermediary between edge devices and the cloud, providing additional processing power and storage.
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