1. Location of computation and storage: In cloud computing, computation and data storage take place in centralized data centers, often located far from the devices that generate or consume data. In edge computing, computation and data storage are brought closer to the devices at the "edge" of the network.
2. Latency: Because data must be transmitted over long distances to central servers in cloud computing, there is typically more latency, or delay, between the time a request is made and the time a response is received. In edge computing, the proximity of the computation and storage resources to the devices can reduce latency.
3. Scalability: Cloud computing is typically more scalable than edge computing, as it can handle a larger volume of data and support more users. Edge computing may be more limited in terms of the amount of data it can process and the number of users it can support.
4. Cost: Cloud computing can be more cost-effective than edge computing, as it involves fewer physical resources and can be more easily scaled up or down based on demand. Edge computing may involve the deployment of many small, low-power devices, which can be more expensive.
Overall, edge computing and cloud computing are two different approaches to distributed computing, each with its own advantages and disadvantages. The choice between the two will depend on the specific requirements and goals of the application or service being developed.
