Introduction to Edge Computing
Edge computing and cloud computing are two different computing models that have been developed to serve different purposes.
Edge computing has lower latency than cloud computing. In edge computing, data is processed locally, on the device or gateway, without needing to travel to a central data center, which results in faster response times. In cloud computing, data has to travel over the internet to reach the data center, which increases latency.
Edge computing reduces the amount of data that needs to be sent to the cloud, which saves bandwidth. In edge computing, only the relevant data is sent to the cloud, while in cloud computing, all data is sent to the cloud for processing.
Edge computing is more reliable than cloud computing. In edge computing, even if the internet connection is lost, the edge devices can still function, since they can process data locally. In cloud computing, if the internet connection is lost, the cloud services become unavailable.
Edge computing is more secure than cloud computing. In edge computing, data is processed locally, on the device or gateway, which reduces the risk of data breaches. In cloud computing, data is stored on remote servers, which increases the risk of data breaches.
Edge computing is more expensive than cloud computing. In edge computing, the cost of deploying and maintaining edge devices and gateways is higher than the cost of using cloud services. In cloud computing, the cost of using cloud services is lower, since the resources are shared among multiple users.
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