Results 11 to 20 of about 16,913 (141)
Proactive Edge Caching With Popularity Prediction and Content Replication
IEEE AccessThe increasing demand for low-latency content delivery in 5G networks highlights the need for intelligent edge caching solutions. This paper proposes a cooperative edge caching framework for small cell base stations (SBSs), leveraging overlapping cache ...
Ilhan Demirci, Omer Korcak
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Predicting the Popularity of Online Content [PDF]
SSRN Electronic Journal, 2008 Early patterns of Digg diggs and YouTube views reflect long-term user interest.
Szabo, Gabor, Huberman, Bernardo A.
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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 +3 more
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Content Popularity Prediction in Fog-RANs: A Bayesian Learning Approach
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) +4 more
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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 +3 more
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DCoL: Distributed Collaborative Learning for Proactive Content Caching at Edge Networks
IEEE Access, 2021 Caching popular content at the network edge, such as roadside units (RSUs), is a promising solution that enhances the user’s quality-of-experience (QoE) and reduces network traffic.
Subina Khanal, Kyi Thar, Eui-Nam Huh
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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 +4 more
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Predicting the Popularity of Online Content by Modeling the Social Influence and Homophily Features
Frontiers in Physics, 2022 Predicting the popularity of online content on social network can bring considerable economic benefits to companies and marketers, and it has wide application in viral marketing, content recommendation, early warning of social unrest, etc.
Yingdan Shang +5 more
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ARMA based popularity prediction for caching in Content Delivery Networks [PDF]
2017 Wireless Days, 2017 Content Delivery Networks (CDNs) are faced with an increasing and time varying demand of video contents. Their ability to promptly react to this demand is a success factor. Caching helps, but the question is: which contents to cache? Considering that the most popular contents should be cached, this paper focuses on how to predict the popularity of ...
Hassine, Nesrine +2 more
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TrendLearner: Early prediction of popularity trends of user generated content [PDF]
Information Sciences, 2016 To appear at Elsevier Information Sciences ...
Figueiredo, Flavio +3 more
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