A high performance hierarchical caching framework for mobile edge computing environments
Saibal Ghosh, Dharma Prakash Agrawal · 2021
Mobile Edge Computing (MEC) has been in the forefront recently for its ability to supplement cloud computing. MEC servers are deployed closer to the users at the network edge in order to reduce the latency and computation load on the cloud. Edge caching plays a dominant role in the MEC paradigm. Popular content is cached in the MEC nodes thereby reducing user access latencies. However, the cache capacity of MEC nodes are limited and therefore efficient caching mechanisms are required to make optimum utilization of MEC node caches. In this work we propose a novel, scalable, hierarchical size and access frequency aware caching policy for mobile edge computing. Our experiments show that the policy outperforms traditional caching policies at the cloud and is scalable with the next generation of workloads in MEC environments.