6.) Edge computing
This new computer network topology find application in 2019. In edge computing, data processing capabilities are placed closer to the source of information than would be possible on the cloud. Utilizing edge computing, as on the shop floor of a manufacturing plant, reduces the delays in processing critical data.
Edge devices began to appear more frequently in 2019, often as a part of advanced (smart) sensing, AI applications, and computationally intensive activities. One example is in the medical market, where edge computing is expected to handle the data explosion from the rise of genomic computations for DNA mapping.
Another area driving edge computing technology is in the implementation of 5G cellular systems. 5G in industrial IoT and consumer applications will enable massive data bandwidths and supports a range of devices, from smartphones to autonomous vehicles and large-scale IoT. 5G systems will rely on an edge computing infrastructure to handle the large data loads.
Edge computing is not without challenges. One of the big concerns is that current edge computing networks lack a common security framework. For now, edge computing shares the same security challenges as the IoT, where devices are small and resource constrained, lacking sufficient security features.
|(Image source: IEEE Innovation)|