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EICC: Edge Intelligent Context-aware Caching in Mobile Edge Computing Environment
  • Hossein Momeni,
  • Mohammad Mahdi Moayeri,
  • Ali Sebti
Hossein Momeni
Golestan University

Corresponding Author:[email protected]

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Mohammad Mahdi Moayeri
Golestan University
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Ali Sebti
Golestan University
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Abstract

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.