Edge computing is a distributed computing paradigm that brings computation and data storage closer to the edge of the network. This is in contrast to cloud computing, where computation and data storage are centralized in a remote data center.

Edge computing has a number of advantages over cloud computing, including:

• Reduced latency: Edge computing can reduce latency by bringing computation and data storage closer to the end user. This is important for applications that require real-time processing, such as self-driving cars and virtual reality.
• Improved security: Edge computing can improve security by reducing the amount of data that needs to be transmitted over the network. This is important for applications that handle sensitive data, such as healthcare and financial services.
• Increased reliability: Edge computing can increase reliability by providing a local backup for data and applications. This is important for applications that cannot afford to be down, such as industrial control systems.

Edge computing is still in its early stages of development, but it is gaining popularity due to its advantages over cloud computing. Edge computing is expected to play a major role in the future of computing, as the number of connected devices continues to grow.

Here are some of the key differences between edge computing and cloud computing:

• Location: Edge computing is located at the edge of the network, while cloud computing is located in a centralized data center.
• Latency: Edge computing has lower latency than cloud computing, as data does not need to travel as far.
• Security: Edge computing can be more secure than cloud computing, as data is not stored in a centralized location.
• Reliability: Edge computing can be more reliable than cloud computing, as there is no single point of failure.

Edge computing and cloud computing are complementary technologies. Edge computing can be used to process data and applications that require low latency and high reliability, while cloud computing can be used to process data and applications that do not require these requirements.