A proactive mobile edge cache policy based on the prediction by partial matching
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
ASTES Publishers
2020
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/64085/ |
| _version_ | 1848800088255627264 |
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| author | Li, Lincan Kwong, Chiew Foong Liu, Qianyu |
| author_facet | Li, Lincan Kwong, Chiew Foong Liu, Qianyu |
| author_sort | Li, Lincan |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:46:00Z |
| format | Article |
| id | nottingham-64085 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:46:00Z |
| publishDate | 2020 |
| publisher | ASTES Publishers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-640852020-12-18T08:56:06Z https://eprints.nottingham.ac.uk/64085/ A proactive mobile edge cache policy based on the prediction by partial matching Li, Lincan Kwong, Chiew Foong Liu, Qianyu 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. ASTES Publishers 2020-10-20 Article PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/64085/1/A%20proactive%20mobile%20edge%20cache%20policy%20based%20on%20the%20prediction%20by%20partial%20matching.pdf 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 Cache Latency; Cache Hit Rate; Content Prediction; Location Prediction http://dx.doi.org/10.25046/aj0505140 doi:10.25046/aj0505140 doi:10.25046/aj0505140 |
| spellingShingle | Cache Latency; Cache Hit Rate; Content Prediction; Location Prediction Li, Lincan Kwong, Chiew Foong Liu, Qianyu A proactive mobile edge cache policy based on the prediction by partial matching |
| title | A proactive mobile edge cache policy based on the prediction by partial matching |
| title_full | A proactive mobile edge cache policy based on the prediction by partial matching |
| title_fullStr | A proactive mobile edge cache policy based on the prediction by partial matching |
| title_full_unstemmed | A proactive mobile edge cache policy based on the prediction by partial matching |
| title_short | A proactive mobile edge cache policy based on the prediction by partial matching |
| title_sort | proactive mobile edge cache policy based on the prediction by partial matching |
| topic | Cache Latency; Cache Hit Rate; Content Prediction; Location Prediction |
| url | https://eprints.nottingham.ac.uk/64085/ https://eprints.nottingham.ac.uk/64085/ https://eprints.nottingham.ac.uk/64085/ |