Results 11 to 20 of about 5,507,675 (301)
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 +4 more
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Content Caching Based on Popularity and Priority of Content Using seq2seq LSTM in ICN
IEEE Access, 2023 Efficient content caching is essential to address the explosive growth of multimedia contents and most works on content cache placement have been proposed mainly based on the popularity of content.
Min Wook Kang, Yun Won Chung
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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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Active Content Popularity Learning and Caching Optimization With Hit Ratio Guarantees
IEEE Access, 2020 Edge caching is an effective solution to reduce delivery latency and network congestion by bringing contents close to end-users. A deep understanding of content popularity and the principles underlying the content request sequence are required to ...
Srikanth Bommaraveni +3 more
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Engineering Science and Technology, an International Journal, 2021 Content-Centric Networking (CCN) is being established as an emerging Internet architecture that brings efficient data retrieval technology to access the contents with their names.
Sumit Kumar, Rajeev Tiwari
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An Inverse Problem Approach for Content Popularity Estimation [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2016 The Internet increasingly focuses on content, as exemplified by the now popular Information Centric Networking paradigm. This means, in particular, that estimating content popularities becomes essential to manage and distribute content pieces efficiently.
Felipe Olmos, Bruno Kauffmann
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Real-Time Video Content Popularity Detection Based on Mean Change Point Analysis [PDF]
IEEE Access, 2019 Video content is responsible for more than 70% of the global IP traffic. Consequently, it is important for content delivery infrastructures to rapidly detect and respond to changes in content popularity dynamics.
Sotiris Skaperas +2 more
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Dynamic edge-caching through content popularity and crowd prediction for short video services [PDF]
Scientific ReportsWith 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 +4 more
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Semantics-Enhanced Temporal Graph Networks for Content Popularity Prediction [PDF]
IEEE Transactions on Mobile Computing, 2023 The surging demand for high-definition video streaming services and large neural network models implies a tremendous explosion of Internet traffic.
Jianhang Zhu +5 more
semanticscholar +1 more source
Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning [PDF]
IEEE Conference on Computer Communications, 2021 Edge caching will play a critical role in facilitating the emerging content-rich applications. However, it faces many new challenges, in particular, the highly dynamic content popularity and the heterogeneous caching configurations.
Tongyu Zong +5 more
semanticscholar +1 more source