While cloud computing is flexible, it depend on workloads not being overly sensitive to network latency or bandwidth. For applications where humans are directly involved; such as mobile phones, tablets or personal computers, the delays and bandwidth limitations of cloud computing are not noticeable. 
For applications requiring real-time millisecond responses like autonomous driving, dealing with massive amounts of data such as real-time video processing, or applications with regulatory requirements on where data is located or processing is performed, relying solely on cloud-based computing will not provide acceptable solutions.
Edge computing is a concept that has been developed over several years to support IoT deployments. Edge computing works by moving cloud-compute processing from cloud data centers to edge and end node processing platforms.
Edge computing can be applied to all levels of networks between clouds and end-nodes, including on gateways, access and metro edges. The concepts of Edge computing may also be applied to end nodes. Edge computing is revolutionizing the way embedded systems are architected, moving to truly distributed systems from a system of loosely coupled fixed function appliances.
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