Proactive Content Delivery with Service-Tier Awareness and User Demand Prediction
Cost-effective delivery of massive data content is a pressing challenge facing modern mobile communication networks. In the literature, two primary approaches to tackle this challenge are service-tier differentiation and personalized proactive content caching. However, these two approaches have not...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-01-01
|
| Series: | Electronics |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2079-9292/8/1/50 |
| _version_ | 1798039483150499840 |
|---|---|
| author | Jing Hu Yaling Lai Ao Peng Xuemin Hong Jianghong Shi |
| author_facet | Jing Hu Yaling Lai Ao Peng Xuemin Hong Jianghong Shi |
| author_sort | Jing Hu |
| collection | DOAJ |
| description | Cost-effective delivery of massive data content is a pressing challenge facing modern mobile communication networks. In the literature, two primary approaches to tackle this challenge are service-tier differentiation and personalized proactive content caching. However, these two approaches have not been integrated and studied in a unified framework. This paper proposes an integrated proactive content delivery scheme that jointly exploits the availability of multiple service tiers and multi-user behavior prediction. Three optimal algorithms and one heuristic algorithm are introduced to solve the cost-minimization problems of multi-user proactive content delivery under different modelling assumptions. The performance of the proposed scheme is systematically investigated to reveal the impacts of proactive window size, service-tier price ratio, and traffic cost model on the system performance. |
| first_indexed | 2024-04-11T21:54:30Z |
| format | Article |
| id | doaj.art-d67b4f068d314bf98975649a6c52eb20 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-04-11T21:54:30Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-d67b4f068d314bf98975649a6c52eb202022-12-22T04:01:09ZengMDPI AGElectronics2079-92922019-01-01815010.3390/electronics8010050electronics8010050Proactive Content Delivery with Service-Tier Awareness and User Demand PredictionJing Hu0Yaling Lai1Ao Peng2Xuemin Hong3Jianghong Shi4School of Information Science and Engineering, Xiamen University, Xiamen 361005, Fujian, ChinaSchool of Information Science and Engineering, Xiamen University, Xiamen 361005, Fujian, ChinaSchool of Information Science and Engineering, Xiamen University, Xiamen 361005, Fujian, ChinaKey Laboratory of Underwater Acoustic Communication and Marine Information Technology, Ministry of Education of China, Xiamen University, Xiamen 361005, Fujian, ChinaKey Laboratory of Underwater Acoustic Communication and Marine Information Technology, Ministry of Education of China, Xiamen University, Xiamen 361005, Fujian, ChinaCost-effective delivery of massive data content is a pressing challenge facing modern mobile communication networks. In the literature, two primary approaches to tackle this challenge are service-tier differentiation and personalized proactive content caching. However, these two approaches have not been integrated and studied in a unified framework. This paper proposes an integrated proactive content delivery scheme that jointly exploits the availability of multiple service tiers and multi-user behavior prediction. Three optimal algorithms and one heuristic algorithm are introduced to solve the cost-minimization problems of multi-user proactive content delivery under different modelling assumptions. The performance of the proposed scheme is systematically investigated to reveal the impacts of proactive window size, service-tier price ratio, and traffic cost model on the system performance.http://www.mdpi.com/2079-9292/8/1/50proactive content deliverydifferentiated servicesredundant capacitysecondary traffic |
| spellingShingle | Jing Hu Yaling Lai Ao Peng Xuemin Hong Jianghong Shi Proactive Content Delivery with Service-Tier Awareness and User Demand Prediction Electronics proactive content delivery differentiated services redundant capacity secondary traffic |
| title | Proactive Content Delivery with Service-Tier Awareness and User Demand Prediction |
| title_full | Proactive Content Delivery with Service-Tier Awareness and User Demand Prediction |
| title_fullStr | Proactive Content Delivery with Service-Tier Awareness and User Demand Prediction |
| title_full_unstemmed | Proactive Content Delivery with Service-Tier Awareness and User Demand Prediction |
| title_short | Proactive Content Delivery with Service-Tier Awareness and User Demand Prediction |
| title_sort | proactive content delivery with service tier awareness and user demand prediction |
| topic | proactive content delivery differentiated services redundant capacity secondary traffic |
| url | http://www.mdpi.com/2079-9292/8/1/50 |
| work_keys_str_mv | AT jinghu proactivecontentdeliverywithservicetierawarenessanduserdemandprediction AT yalinglai proactivecontentdeliverywithservicetierawarenessanduserdemandprediction AT aopeng proactivecontentdeliverywithservicetierawarenessanduserdemandprediction AT xueminhong proactivecontentdeliverywithservicetierawarenessanduserdemandprediction AT jianghongshi proactivecontentdeliverywithservicetierawarenessanduserdemandprediction |