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Popularity prediction–based caching in content delivery networks

Annals of Telecommunications, 2019
In content delivery networks (CDNs), caches are resources that must be allocated. For that purpose, videos’ popularity knowledge helps to make efficient decisions about which videos should be cached. Thus, we must be able to anticipate future needs in terms of requested videos. To do this, we rely on the requests history.
Nesrine Ben Hassine   +3 more
openaire   +2 more sources

Caching algorithm for content-oriented networks using prediction of popularity of contents

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), 2015
It is important to use cache efficiently for the content deployment in the aspect of reducing load of server and latency, especially in content-oriented networks such as ICN (Information Centric Networking). Since the capacity of cache on each network node is limited, numbers of cache replacement algorithm have been proposed.
Hiroki Nakayama, Shingo Ata, Ikuo Oka
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Content Clustering and Popularity Prediction Based Caching Strategy in Content Centric Networking

2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 2017
Content centric networking (CCN) is a promising architecture for the future networks. In-networking caching of CCN can significantly improve the content delivery efficiency. Content popularity is one of the key factors considered in the design of the caching strategy.
Xinwei Jiang, Tiankui Zhang, Zhimin Zeng
openaire   +2 more sources

A review on web content popularity prediction: Issues and open challenges

Online Social Networks and Media, 2019
Abstract With the profusion of web content, researchers have avidly studied and proposed new approaches to enable the anticipation of its impact on social media, presenting many distinct approaches throughout the last decade. Diverse approaches have been presented to tackle the problem of web content popularity prediction, including standard ...
Nuno Moniz, Luís Torgo
openaire   +2 more sources

Predicting the Popularity of Online Content Based on the Weak Ties Theory

2018 IEEE Third International Conference on Data Science in Cyberspace (DSC), 2018
With the rapid development of network. The multimedia information spreads faster since the rise of social network where people can create and share images, video and audio contents. Online content captures online behavior of users who communicate or interact on a diversity of issues and topics.
Xiaomeng Wang   +3 more
openaire   +1 more source

Predicting the popularity of online news from content metadata

2016 International Conference on Innovations in Science, Engineering and Technology (ICISET), 2016
Popularity prediction of online news aims to predict the future popularity of news article prior to its publication estimating the number of shares, likes, and comments. Yet, popularity prediction is a challenging task due to various issues including difficulty to measure the quality of content and relevance of content to users; prediction difficulty ...
Md. Taufeeq Uddin   +3 more
openaire   +1 more source

An in-network caching scheme based on betweenness and content popularity prediction in content-centric networking

2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016
Content-centric Networking (CCN) is considered as a promising architecture to achieve reliable content distribution at large scale. One of the key research items of CCN is cache strategy, and most of the existing approaches consider little of the dynamicity of user interests.
Xiaoqiang Zhou, Min Zhao 0002, Muqing Wu
openaire   +2 more sources

Cluster-based content caching driven by popularity prediction

CCF Transactions on High Performance Computing, 2022
Bosen Jia   +4 more
openaire   +1 more source

Popularity Prediction Oriented Provider Mobility Support in Content-Centric Networking

2018 IEEE Global Communications Conference (GLOBECOM), 2018
Mobility support has become one of the critical issues in the Content-Centric Networking (CCN) to meet the needs that a significant amount of multimedia data is transmitted over mobile devices. Many related research approaches, such as Tunnel-CCN, NamedPool-CCN, and Proxy-CCN, are presented to resolve such an issue.
Yunmin Wang, Hui Li 0022
openaire   +1 more source

Content Popularity Prediction Based on Integrated Features and Federated Learning

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC), 2021
Yu Xiong   +5 more
openaire   +1 more source

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