Results 31 to 40 of about 47,588 (323)
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Vadim Kirilin +3 more
openaire +3 more sources
Multi-Agent Reinforcement Learning Based Cooperative Content Caching for Mobile Edge Networks
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
doaj +1 more source
Caching at the Edge with LT codes [PDF]
We study the performance of caching schemes based on LT under peeling (iterative) decoding algorithm. We assume that users ask for downloading content to multiple cache-aided transmitters.
Liva, Gianluigi +2 more
core +2 more sources
PA-Cache: Evolving Learning-Based Popularity- Aware Content Caching in Edge Networks [PDF]
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
openaire +3 more sources
Deep Q-Learning-Based Content Caching With Update Strategy for Fog Radio Access Networks
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
doaj +1 more source
Information Resilience in a Network of Caches With Perturbations
Caching in a network of caches has been widely investigated for improving information/content delivery efficiency (e.g., for reducing content delivery latency, server load and bandwidth utilization).
Dehao Wu, Wei Koong Chai
doaj +1 more source
Recent advances in mobile edge computing and content caching
The demand for digital media services is increasing as the number of wireless subscriptions is growing exponentially. In order to meet this growing need, mobile wireless networks have been advanced at a tremendous pace over recent days.
Sunitha Safavat +2 more
doaj +1 more source
Contention Tracking in GPU Last-Level Cache
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
openaire +1 more source
Vehicular Content Networks (VCNs) represent key empowering solution for content distribution in fully distributed manner for vehicular infotainment applications.
Divya Gupta +3 more
doaj +1 more source
QoS Improvement Using In-Network Caching Based on Clustering and Popularity Heuristics in CCN
Content-Centric Networking (CCN) has emerged as a potential Internet architecture that supports name-based content retrieval mechanism in contrast to the current host location-oriented IP architecture.
Sumit Kumar +2 more
doaj +1 more source

