NAVIGATION
Edge Computing
Instead of relying on centralized cloud servers, edge computing refers to a distributed computing architecture that moves processing and data storage closer to the point of demand. In contrast to a centralized data center, edge computing places computer resources and data closer to the «edge» of the network, where data is generated and consumed.
By processing data closer to the source, edge computing seeks to decrease latency and boost speed. This can be particularly relevant in applications where real-time data analysis and decision-making are crucial. Additionally, edge computing can increase security and privacy, lessen the quantity of data that needs to be sent to the cloud for processing, and aid with network congestion.
By processing data closer to the source, edge computing seeks to decrease latency and boost speed. This can be particularly relevant in applications where real-time data analysis and decision-making are crucial. Additionally, edge computing can increase security and privacy, lessen the quantity of data that needs to be sent to the cloud for processing, and aid with network congestion.
Smart cities, driverless vehicles, industrial automation, and Internet of Things (IoT) devices are just a few examples of the many applications that edge computing may be used in. By processing data and making choices at the network’s edge, edge computing can help these applications become more effective, reliable, and responsive. Edge computing does, however, come with its share of difficulties, including the requirement for specialized hardware and software, the management of distributed resources, and the necessity to guarantee data security and privacy.