Controlling the Trade-Off between Resource Efficiency and User Satisfaction in NDNs Based on Naïve Bayes Data Classification and Lagrange Method

Controlling the Trade-Off between Resource Efficiency and User Satisfaction in NDNs Based on Naïve Bayes Data Classification and Lagrange Method

This paper addresses the fundamental problem of the trade-off between resource efficiency and user satisfaction in the limited environments of Named Data Networks (NDNs). The proposed strategy is named RADC (Resource Allocation based Data Classification), which aims at managing such trade-off by con...

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Bibliographic Details
Main Authors: Abdelkader Tayeb Herouala, Chaker Abdelaziz Kerrache, Benameur Ziani, Carlos T. Calafate, Nasreddine Lagraa, Abdou el Karim Tahari
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Future Internet
Subjects:
named data network
cache strategy
machine learning
placement strategy
name classification
resource allocation
Online Access:https://www.mdpi.com/1999-5903/14/2/48

Internet

https://www.mdpi.com/1999-5903/14/2/48

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