A proactive mobile edge cache policy based on the prediction by partial matching

Tools

Li, Lincan, Kwong, Chiew Foong and Liu, Qianyu (2020) A proactive mobile edge cache policy based on the prediction by partial matching. Advances in Science, Technology and Engineering Systems Journal, 5 (5). pp. 1154-1161. ISSN 24156698

[thumbnail of A proactive mobile edge cache policy based on the prediction by partial matching.pdf]
Preview
 PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Available under Licence Creative Commons Attribution.
Download (1MB) | Preview

Abstract

The proactive caching has been an emerging approach to cost-effectively boost the network capacity and reduce access latency. While the performance of which extremely relies on the content prediction. Therefore, in this paper, a proactive cache policy is proposed in a distributed manner considering the prediction of the content popularity and user location to minimise the latency and maximise the cache hit rate. Here, a backpropagation neural network is applied to predict the content popularity, and prediction by partial matching is chosen to predict the user location. The simulation results reveal our proposed cache policy is around 27%-60% improved in the cache hit ratio and 14%-60% reduced in the average latency, compared with the two conventional reactive policies, i.e., LFU and LRU policies.

Item Type: Article
Keywords: Cache, Latency; Cache Hit Rate; Content Prediction; Location Prediction
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > Department of Electrical and Electronic Engineering
University of Nottingham Ningbo China > Graduate School
Identification Number: 10.25046/aj0505140
Depositing User: Wu, Cocoa
Date Deposited: 18 Dec 2020 08:56
Last Modified: 18 Dec 2020 08:56
URI: https://eprints.nottingham.ac.uk/id/eprint/64085

Actions (Archive Staff Only)

Edit View Edit View