Results 31 to 40 of about 5,507,675 (301)
A Cache Placement Strategy Based on Compound Popularity in Named Data Networking
The built-in pervasive caching is one of the most important features of named data networking (NDN), which can provide effective data delivery even in presence of short-lived and intermittent connectivity.
Yiqi Gui, Yongkang Chen
doaj +1 more source
Community-Oriented Multimedia Content Maximization Mechanism in Social Internet of Things
Social Internet of thing (SIoT) is an emerging area that introduces sociology theories into IoT networks, in order to support the spread behaviour of multimedia contents.
Peng He, Tong Tang
doaj +1 more source
Characterization and Management of Popular Content in KAD [PDF]
The endeavor of this work is to study the impact of content popularity in a large-scale Peer-to-Peer network, namely KAD. Based on an extensive measurement campaign, we pinpoint several deficiencies of KAD in handling popular content and provide a series of improvements to address such shortcomings.
CARRA, DAMIANO +5 more
openaire +2 more sources
Popularity prediction in content delivery networks [PDF]
—Content delivery networks (CDNs) face a large and continuously increasing number of users solicitations for video contents. In this paper, we focus on the prediction of popularity evolution of video contents. Based on the observation of past solicitations of individual video contents, individual future solici-tations are predicted.
Ben Hassine, Nesrine +3 more
openaire +2 more sources
A survey on predicting the popularity of web content [PDF]
Journal of internet services and applications ...
Tatar, Alexandru +3 more
openaire +3 more sources
Content and Popularity Analysis of Tor Hidden Services [PDF]
6 pages, 3 figures, 2 ...
Alex Biryukov +3 more
openaire +3 more sources
Content popularity prediction for cache-enabled wireless B5G networks
In this paper, we study the cache prediction problem for mobile edge networks where there exist one base station (BS) and multiple relays. For the proposed mobile edge computing (MEC) network, we propose a cache prediction framework to solve the problem ...
Shiwei Lai +4 more
doaj +1 more source
Cooperative Content Caching Framework Using Cuckoo Search Optimization in Vehicular Edge Networks
Vehicular edge networks (VENs) connect vehicles to share data and infotainment content collaboratively to improve network performance. Due to technological advancements, data growth is accelerating, making it difficult to always connect mobile devices ...
Sardar Khaliq uz Zaman +8 more
doaj +1 more source
AI-Driven Energy-Efficient Content Task Offloading in Cloud-Edge-End Cooperation Networks
To tackle a challenging energy efficiency problem caused by the growing mobile Internet traffic, this paper proposes a deep reinforcement learning (DRL)-based green content task offloading scheme in cloud-edge-end cooperation networks.
Chao Fang +6 more
doaj +1 more source
Online Content Popularity Prediction and Learning in Wireless Edge Caching
Caching popular contents in advance is an important technique to achieve low latency and reduce the backhaul costs in future wireless communications.
N. Garg +4 more
semanticscholar +1 more source

