Content Popularity Prediction and Caching for ICN: A Deep Learning Approach With SDN

In information-centric networking, accurately predicting content popularity can improve the performance of caching. Therefore, based on software defined network (SDN), this paper proposes Deep-Learning-based Content Popularity Prediction (DLCPP) to achieve the popularity prediction. DLCPP adopts the...

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Bibliographic Details
Main Authors: Wai-Xi Liu, Jie Zhang, Zhong-Wei Liang, Ling-Xi Peng, Jun Cai
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
SDN
Online Access:https://ieeexplore.ieee.org/document/8172025/