Advantage and Disadvantage of Edge Computing

Edge Computing enables data to be analysed, processed, and transferred at the edge of a network. Meaning, the data is analysed locally, closer to where it is stored, in real-time without latency. Edge computing allow data from Internet of things device to be analysed edge of network before being send to a data center or cloud. 

Advantages :

• It offers high speed, reduced latency better reliability which allows for quicker data processing and content delivery.
• It offers better security by distributing processing, storage, and applications across a wide range of devices and data centers, which makes it difficult for any single disruption to take down the network.
• It offers a far less expensive route to scalability and versatility, allowing companies to expand their computing capacity through a combination of IoT devices and edge data centers.
• Since the data is processed locally, less time and resources are needed for data to be transmitted among the millions of connected devices.
• It guarantees data privacy and security while sending the data over networks across international borders because a sizable amount of raw data is processed close to the protected edge devices.
• In cases of intermittent connectivity and constrained bandwidth brought on by remote places, such as forests or sailing vessels, edge computing is beneficial.

Disadvantages :

• It requires more storage capacity.
• Security challenges in edge computing is high due to huge amount of data.
• It only analyse the data.
• Cost of edge computing is very high.
• It requires advanced infrastructure.