EICC: Edge Intelligent Context-aware Caching in Mobile Edge Computing
Mobile Edge Computing (MEC) is an emerging technology aimed at
alleviating network congestion and cloud service delays by caching and
processing user requests at the network edge. Despite its potential,
challenges like limited caching resources and unpredictable user
behavior persist. To tackle these hurdles, a new intelligent caching
approach called Edge Intelligent Context-aware Caching (EICC) is
introduced. EICC addresses resource limitations by considering user,
video, and environmental contexts. The approach encompasses three
algorithms: User Location Prediction (ULoP) for foreseeing user
mobility, User Content Interest Prediction (UCIP) for anticipating user
preferences, and Content Rating Algorithm (CoRa) for evaluating content.
The rated content is cached at predicted user locations, allowing
localized access and minimizing latency. We demonstrate that our
proposed approach is more efficient in terms of cache hit rate,
prediction accuracy, and overall delay.