A Novel Predictive-Collaborative-Replacement (PCR) Intelligent Caching Scheme for Multi-Access Edge Computing (MECs)

Journal article

Ugwuanyi, E.E., Iqbal, M. and Dagiuklas, A. (2021). A Novel Predictive-Collaborative-Replacement (PCR) Intelligent Caching Scheme for Multi-Access Edge Computing (MECs). IEEE Access. 9, pp. 37103 - 37115. https://doi.org/10.1109/ACCESS.2021.3058769
AuthorsUgwuanyi, E.E., Iqbal, M. and Dagiuklas, A.
Abstract

Multi-Access Mobile Edge Computing (MEC) is proclaimed as a key technology for reducing service processing delays in 5G networks. One of the use cases in MEC is content caching as a way of bringing resources closer to the end-users. Consequently, both latency and QoE are reduced. However,
MEC has a limited storage space compared to the cloud. Therefore, there is a need to effectively manage the cache storage. This paper proposes and evaluates a novel scheme (PCR) that combines proactive prediction, collaboration among MECs and replacement algorithm to manage content caching in MEC. Results show that the proposed replacement scheme outperforms conventional baseline content caching
algorithms LFU, LRU, MQ, FBR, LFRU. This has been validated with experimental results using a real dataset (MovieLens20M dataset).

Year2021
JournalIEEE Access
Journal citation9, pp. 37103 - 37115
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISSN2169-3536
Digital Object Identifier (DOI)https://doi.org/10.1109/ACCESS.2021.3058769
Publication dates
Print11 Feb 2021
Publication process dates
Accepted27 Jan 2021
Deposited11 Feb 2021
Accepted author manuscript
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