Edge caching for cognitive applications
A high-speed cache and response value technology, applied in the field of edge cache in cognitive applications in communication networks, can solve problems such as large network models and inability to use network models, and achieve the effect of improving efficiency
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[0032] The illustrative embodiments described herein relate generally to edge caching for cognitive applications. As mentioned earlier, cognitive applications are computer processing applications that take signals from sensor devices and apply machine learning techniques to a set of training data to produce an output. According to one or more embodiments, a caching protocol is performed between a proxy server with an associated local cache and a cognitive server, wherein the cognitive server not only returns the result of applying input signals on the cognitive model, but also implements the A handle generation or encoding function configured to generate unique handles for input signals. In one or more embodiments, a handle generator function or encoding function is computed for each input signal received from a sensor device to generate a unique handle for that input signal, and the proxy server converts the The result is stored in the cache in association with this handle. ...
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