Results 31 to 40 of about 5,135,840 (274)
Proceedings of the 2019 Workshop on Network Meets AI & ML - NetAI'19, 2019 pub
Vadim Kirilin +3 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 Survey of Deep Learning for Data Caching in Edge Network
Informatics, 2020 The concept of edge caching provision in emerging 5G and beyond mobile networks is a promising method to deal both with the traffic congestion problem in the core network, as well as reducing latency to access popular content.
Yantong Wang, Vasilis Friderikos
doaj +1 more source
PA-Cache: Evolving Learning-Based Popularity- Aware Content Caching in Edge Networks [PDF]
IEEE Transactions on Network and Service Management, 2021 As ubiquitous and personalized services are growing boomingly, an increasingly large amount of traffic is generated over the network by massive mobile devices. As a result, content caching is gradually extending to network edges to provide low-latency services, improve quality of service, and reduce redundant data traffic.
Qilin Fan +5 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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Deep Learning for Latent Events Forecasting in Content Caching Networks
IEEE Transactions on Wireless Communications, 2022 A novel Twitter context aided content caching (TAC) framework is proposed for enhancing the caching efficiency by taking advantage of the legibility and massive volume of Twitter data.
Zhong Yang +3 more
semanticscholar +1 more source
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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IET Communications, EarlyView., 2022 Abstract The goal of this work is to investigate how the self‐awareness characteristic of autonomic computing, paired with existing performance optimization rules, may be used in applications to minimise multi‐core processor performance concerns. The suggested self‐awareness technique can assist applications in self‐execution while also assisting other
Surendra Kumar Shukla +8 more
wiley +1 more source
Contention Tracking in GPU Last-Level Cache
2022 IEEE 40th International Conference on Computer Design (ICCD), 2022 The Last-level cache (LLC) is one of the main GPU’s shared resources that contributes to improve performance but also increases individual kernel’s performance variability. This is detrimental in scenarios in which some level of performance predictability is required.
Barrera Herrera, Javier Enrique +4 more
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Scientific Reports, 2023 Vehicular Content Networks (VCNs) represent key empowering solution for content distribution in fully distributed manner for vehicular infotainment applications.
Divya Gupta +3 more
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