Results 21 to 30 of about 3,421 (264)
Proactive Edge Caching in Content-Centric Networks With Massive Dynamic Content Requests
IEEE Access, 2020 Edge computing is a promising infrastructure evolution to reduce traffic loads and support low-latency communications. Furthermore, content-centric networks provide a natural solution to cache contents at edge nodes.
Xiaogeng Xu +4 more
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Multi-Agent Reinforcement Learning Based Cooperative Content Caching for Mobile Edge Networks
IEEE Access, 2019 To address the drastic growth of data traffic dominated by streaming of video-on-demand files, mobile edge caching/computing (MEC) can be exploited to develop intelligent content caching at mobile network edges to alleviate redundant traffic and improve ...
Wei Jiang +3 more
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A Caching Strategy Based on Many-to-Many Matching Game in D2D Networks
Tsinghua Science and Technology, 2021 Wireless edge caching has been proposed to reduce data traffic congestion in backhaul links, and it is being envisioned as one of the key components of next-generation wireless networks.
Kaihang Yu +3 more
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Cache-Enabled in Cooperative Cognitive Radio Networks for Transmission Performance
Tsinghua Science and Technology, 2020 The proliferation of mobile devices that support the acceleration of data services (especially smartphones) has resulted in a dramatic increase in mobile traffic. Mobile data also increased exponentially, already exceeding the throughput of the backhaul.
Jiachen Yang +5 more
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Bandit Learning-Based Edge Caching for 360-Degree Video Streaming With Switching Cost
IEEE Access, 2022 Virtual Reality (VR) and Augmented Reality (AR) applications are expected to be a key driver for the 5G network. The need of the MEC support for caching and transcoding of omnidirectional content has been identified as a major topic of research.
Zhendong Yu +3 more
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Deep Q-Learning-Based Content Caching With Update Strategy for Fog Radio Access Networks
IEEE Access, 2019 In order to improve the edge caching efficiency of the fog radio access network (F-RAN), this paper put forward a distributed deep Q-learning-based content caching scheme based on user preference prediction and content popularity prediction.
Fan Jiang +3 more
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IEEE Open Journal of the Communications SocietyThis paper introduces an innovative predictive caching strategy tailored to a real-world dataset, specifically the Facebook video dataset. Making caching decisions for the dataset is challenging due to its dynamic nature, where users’ content ...
Javane Rostampoor +3 more
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Adaptive Scheme for Caching YouTube Content in a Cellular Network: Machine Learning Approach
IEEE Access, 2017 Content caching at base stations is a promising solution to address the large demands for mobile data services over cellular networks. Content caching is a challenging problem as it requires predicting the future popularity of the content and the ...
S. M. Shahrear Tanzil +2 more
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Request pattern change-based cache pollution attack detection and defense in edge computing
Digital Communications and Networks, 2023 Through caching popular contents at the network edge, wireless edge caching can greatly reduce both the content request latency at mobile devices and the traffic burden at the core network.
Junwei Wang +5 more
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Caching Trust Rather Than Content [PDF]
ACM SIGOPS Operating Systems Review, 2000 Caching, one of the oldest ideas in computer science, often improves performance and sometimes improves availability [1, 3]. Previous uses of caching have focused on data content. It is the presence of a local copy of data that reduces access latency and masks server or network failures.
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