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MEC Deep Learning Based Caching System and Method for Self-Driving Car in Multi-access Edge Computing
MEC Deep Learning Based Caching System and Method for Self-Driving Car in Multi-access Edge Computing
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机译：多访问边缘计算中基于MEC深度学习的无人驾驶汽车缓存系统和方法
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摘要
A caching system is disclosed. The caching system determines the caching content based on a first predicted value including an object requiring content provision and a probability of requesting the content from the object in an allocated area and a predicted rating of the content, and the determined A multi-access edge computing (MEC) server for caching and downloading caching content from a content provider, wherein the object is a k-means algorithm for the first predicted value and a second predicted value that is a predicted value for the user's characteristics of the object. And a recommendation module for identifying and recommending recommended contents among the caching contents by applying binary classification, and inquiring an available MEC server on the moving path of the object, and selecting the recommended contents among the available MEC servers. A caching system comprising a deep learning-based caching module for selecting an optimal MEC server to download and downloading and caching the recommended content from the optimal MEC server.
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