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Electronics 2019, 8(1), 50; https://doi.org/10.3390/electronics8010050

Proactive Content Delivery with Service-Tier Awareness and User Demand Prediction

1
School of Information Science and Engineering, Xiamen University, Xiamen 361005, Fujian, China
2
Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Ministry of Education of China, Xiamen University, Xiamen 361005, Fujian, China
*
Author to whom correspondence should be addressed.
Received: 14 November 2018 / Revised: 23 December 2018 / Accepted: 24 December 2018 / Published: 2 January 2019
(This article belongs to the Special Issue Innovative Technologies and Services for Smart Cities)
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Abstract

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. View Full-Text
Keywords: proactive content delivery; differentiated services; redundant capacity; secondary traffic proactive content delivery; differentiated services; redundant capacity; secondary traffic
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Hu, J.; Lai, Y.; Peng, A.; Hong, X.; Shi, J. Proactive Content Delivery with Service-Tier Awareness and User Demand Prediction. Electronics 2019, 8, 50.

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