Results 11 to 20 of about 7,650,707 (279)

Online Content Popularity Prediction and Learning in Wireless Edge Caching [PDF]

IEEE Transactions on Communications, 2020
Caching popular contents in advance is an important technique to achieve low latency and reduce the backhaul costs in future wireless communications. Considering a network with base stations distributed as a Poisson point process, optimal content placement caching probabilities are obtained to maximize the average success probability (ASP) for a known ...
Vimal Bhatia, Navneet Garg, Tharmalingam Ratnarajah   +2 more
exaly   +6 more sources

Content popularity prediction for cache-enabled wireless B5G networks [PDF]

EURASIP Journal on Advances in Signal Processing, 2021
In this paper, we study the cache prediction problem for mobile edge networks where there exist one base station (BS) and multiple relays. For the proposed mobile edge computing (MEC) network, we propose a cache prediction framework to solve the problem ...
Shiwei Lai, Rui Zhao, Yulin Wang, Fusheng Zhu, Junjuan Xia   +4 more
doaj   +2 more sources

A survey on predicting the popularity of web content [PDF]

Journal of Internet Services and Applications, 2014
Journal of internet services and applications ...
Tatar, Alexandru, Dias de Amorim, Marcelo, Fdida, Serge, Antoniadis, Panayotis   +3 more
openaire   +5 more sources

Content Popularity Prediction in Fog-RANs: A Bayesian Learning Approach [PDF]

2021 IEEE Global Communications Conference (GLOBECOM), 2021
Abstract In this paper, the content popularity prediction problem in cache-enabled fog radio access networks (F-RANs) is investigated. In order to predict the content popularity with high accuracy and low complexity, we propose a Gaussian process based Poisson regressor to model the content request pattern.
Tao, Y. (Yunwei), Jiang, Y. (Yanxiang), Zheng, F.-C. (Fu-Chun), Bennis, M. (Mehdi), You, X. (Xiaohu)   +4 more
openaire   +3 more sources

Caching strategies based on popularity prediction in content delivery networks [PDF]

2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2016
In Content Delivery Networks (CDNs), knowing the popularity of video content helps the manager to take efficient decisions about which video content should be cached near the end users and also about the duplication degree of each video to satisfy the end user Quality of Experience.
Hassine, Nesrine, Marinca, Dana, Minet, Pascale, Barth, Dominique   +3 more
openaire   +5 more sources

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

IEEE Access, 2018
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 ...
Wai-Xi Liu, Jie Zhang, Zhong-Wei Liang, Ling-Xi Peng, Jun Cai   +4 more
doaj   +3 more sources

Popularity prediction in content delivery networks [PDF]

2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2015
—Content delivery networks (CDNs) face a large and continuously increasing number of users solicitations for video contents. In this paper, we focus on the prediction of popularity evolution of video contents. Based on the observation of past solicitations of individual video contents, individual future solici-tations are predicted.
Ben Hassine, Nesrine, Marinca, Dana, Minet, Pascale, Barth, Dominique   +3 more
openaire   +4 more sources

Dynamic edge-caching through content popularity and crowd prediction for short video services [PDF]

Scientific Reports
With the explosive growth of short video traffic and the increasing demand for low-latency content delivery, efficient edge caching strategies have become critical for mobile networks. However, the highly dynamic and personalized characteristics of short
Sen Niu, Yuhe Liu, Kaili Liao, Bofeng Zhang, Guobing Zou   +4 more
doaj   +2 more sources

Popularity Prediction of Online Contents via Cascade Graph and Temporal Information [PDF]

Axioms, 2021
Predicting the popularity of online content is an important task for content recommendation, social influence prediction and so on. Recent deep learning models generally utilize graph neural networks to model the complex relationship between information ...
Yingdan Shang, Bin Zhou, Ye Wang, Aiping Li, Kai Chen, Yichen Song, Changjian Lin   +6 more
doaj   +2 more sources

A Novel Content Popularity Prediction Algorithm Based on Auto Regressive Model in Information-Centric IoT

IEEE Access, 2019
As information-centric networking (ICN) cache can effectively reduce the requests from customers to producers and improve the efficiency of content acquisition, there are many studies propose to improve system performance of the Internet of Things (IoT ...
Ying Liu, Ting Zhi, Haidong Xi, Xiaomeng Duan, Hongke Zhang   +4 more
doaj   +3 more sources