An Intelligent Caching Approach in Mobile Edge Computing Environment
Mohammad Mahdi Moayeri, Hossein Momeni · 2024
Mobile Edge Computing (MEC) provides a distributed environment to reduce delay of cloud services and network congestion. One of the important challenges in MEC is unpredictable user behavior and limitation of caching resources. In this paper we present a new intelligent caching approach called Edge Intelligent Context-aware Caching (EICC) to tackle these challenges. EICC considers environmental and user contexts. Utilizing these contexts, we have implemented a content rating algorithm designed to evaluate content. Through this algorithm, content is rated, enabling the caching of the most suitable content according to the available capacity at the network’s edge. We show that EICC is more efficient in terms of prediction accuracy, cache hit rate and overall delay.