From the course: Computer Architecture Essentials
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Cloud and edge computing
From the course: Computer Architecture Essentials
Cloud and edge computing
- [Narrator] Computing has come a long way from the days of relying solely on personal computers. Over time, we have shifted to the cloud, where data and processing are centralized in massive data centers. This model makes it easier to scale applications and manage resources, which is why the cloud is so widely used for things like artificial intelligence, data analytics, and even streaming services. The big advantage of cloud computing is its power and accessibility. You can use these resources from anywhere in the world. However, the trade-off is that relying on distant data centers introduces latency and requires significant bandwidth, especially for time-critical applications. This is where edge computing steps in. Unlike the cloud, edge devices process data locally, right where it's generated. By doing this, they reduce latency and bandwidth usage because data doesn't need to travel back and forth to a distant data center. Edge computing works alongside the cloud, taking on tasks…
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