Summary
Edge computing refers to processing data at the edge of corporate networks where end devices interact, avoiding delays caused by transmitting data to distant centers. This is crucial for IoT devices performing real-time tasks like pressure detection in refineries. While it enhances response times and reduces costs, security risks of handling valuable data at the edge must be addressed with redundancy and failover measures for system reliability.
Edge Computing Definition
Edge computing is computing that takes place at the edge of corporate networks where end devices access the network, such as phones, laptops, robots, and sensors.
Shortcomings of Traditional Model with IoT
The traditional model of connecting IoT devices to data centers and the cloud has shortcomings due to the nature of work performed by IoT devices, such as detecting high pressure in pipes at a refinery.
Need for Edge Computing with IoT Devices
IoT devices require edge computing as transmitting data to distant processing centers may cause delays, leading to potential downtime and property damage.
Benefits of Edge Computing
Edge computing allows for faster response times for applications and enables the use of less expensive connections. It also facilitates the transmission of data to centralized applications or storage.
Security Concerns with Edge Computing
One of the downsides of edge computing is security risks due to valuable data being collected and analyzed at the edge, posing a threat to the devices themselves.
Importance of Redundancy in Edge Computing
As edge computing becomes more essential, it is crucial to incorporate redundancy and failover contingencies to prevent system failures and address the demands of edge computing.
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