A High Performance AI-Powered Cache Mechanism for IoT Devices

Various Internet of Things (IoT) devices bring great convenience to users. However, the privacy protection and overall performance still need improvements due to their limited storage and computation abilities. Cloud computing can be used to solve or lessen these issues by providing server-level security, unlimited storage, and high computation abilities. It is time-consuming to conduct all the calculation in local IoT devices. It is also not wise to offload everything to Cloud, because the data could be massive that takes longer time to transfer than to compute. In this paper, we design a framework in which the local IoT devices are the cache and the remote Cloud servers are the memory. To further improve system efficiency and adaptability, we use some lightweight Artificial Intelligence (AI) methods to predict users’ behavior patterns, that can adapt to changes while maintaining optimal performance.