Replica placement in content delivery networks with stochastic demands and M/M/1 servers

2014 ◽  
Author(s):  
Chenkai Yang ◽  
Liusheng Huang ◽  
Bing Leng ◽  
Hongli Xu ◽  
Xinglong Wang
Keyword(s):  
Content Delivery ◽  
Replica Placement ◽  
Stochastic Demands ◽  
Content Delivery Networks ◽  
Delivery Networks

scholarly journals Replica placement in ring based content delivery networks

2006 ◽  
Vol 29 (16) ◽  
pp. 3313-3326 ◽  
Author(s):  
Tim Wauters ◽  
Jan Coppens ◽  
Filip De Turck ◽  
Bart Dhoedt ◽  
Piet Demeester
Keyword(s):  
Content Delivery ◽  
Replica Placement ◽  
Content Delivery Networks ◽  
Delivery Networks

An Incentive Compatible Mechanism for Replica Placement in Peer-Assisted Content Distribution

2020 ◽  
Vol 12 (1) ◽  
pp. 47-67 ◽  
Author(s):  
Prabir Bhattacharya ◽  
Minzhe Guo
Keyword(s):  
Design Theory ◽  
Large Scale ◽  
State Of The Art ◽  
Incentive Compatibility ◽  
Content Delivery ◽  
Replica Placement ◽  
Key Technology ◽  
Incentive Compatible ◽  
Content Delivery Networks ◽  
Delivery Networks

Content delivery is a key technology on the Internet to achieve large scale, low-latency, reliable, and intelligent data delivery. Replica placement (RP) is a key machinery in content delivery systems to achieve efficient and effective content delivery. This work proposes a novel decentralized algorithm for the replica placement in peer-assisted content delivery networks with simultaneous considerations for peer incentives. By applying techniques from the algorithmic mechanism design theory, the authors show the incentive compatibility of the proposed algorithm. Experiments were conducted to validate the properties of the proposed method and comparisons were made with the state-of-the-art RP algorithms.

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