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ARMA based popularity prediction for caching in Content Delivery Networks
TLDR
This paper focuses on predicting the popularity of video contents using Auto-Regressive Moving Average methods applied on a sliding window. Expand
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Caching strategies based on popularity prediction in content delivery networks
TLDR
In Content Delivery Networks (CDNs), knowing the popularity of video content helps the manager to take efficient decisions about which video content should be cached near the end users and also about the duplication degree of each video. Expand
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Expert-based on-line learning and prediction in Content Delivery Networks
TLDR
We introduce a decision maker, called a forecaster, that predicts the popularity based on the predictions of several experts. Expand
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Popularity prediction in content delivery networks
TLDR
We present a self-learning and prediction method able to predict the number of solicitation individually for each video content in a CDN. Expand
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Popularity prediction–based caching in content delivery networks
TLDR
We use real traces extracted from YouTube to compare different prediction methods and determine the best parameter tuning for experts and forecasters to predict the daily number of requests. Expand
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Overlapping patterns of morphometric and genetic differentiation in the Mediterranean goby Pomatoschistus tortonesei Miller, 1968 (Perciformes, Gobiidae) in Tunisian lagoons.
The genetic and morphological variations of Pomatoschistus tortonesei Miller, 1968 were studied in samples collected from three Tunisian lagoons. The morphological analysis included 18 morphometricExpand
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An efficient learning technique to predict link quality in WSN
TLDR
We apply learning techniques to predict link quality evolution in a WSN and take advantage of wireless links with the best possible quality to improve the packet delivery rate. Expand
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Machine Learning and Popularity Prediction of a Video Content
TLDR
This paper focuses on predicting the popularity of video contents, in terms of number of solicitations. Expand
Coalition game for video content clustering in content delivery networks
TLDR
Game theory is a powerful tool that has been used in networks to improve the end users' quality of experience (e.g. decreased response time, higher delivery rate). Expand