TY - JOUR
T1 - Robust algorithm to retrieve scalable streaming media over content delivery networks
AU - Su, Zhou
AU - Katto, Jiro
AU - Yasuda, Yasuhiko
PY - 2007/12
Y1 - 2007/12
N2 - A robust replication algorithm is very important to retrieve Web objects from the Content delivery network (CDN), where both the network topology and Web access are changed dynamically. However, current replica strategies in CDN are to statically and repeatedly keep the complete replica of the original object on many content servers. This method is weak in adapting the dynamic network, resulting in too much consumed server space and a waste of the storage cost. It becomes more serious by replicating some large-sized objects such as streaming media, which are being distributed over the Internet more and more. In this paper, we discuss a robust replication strategy for scalable video streaming in CDN to reduce user response and storage cost as follows: 1) For content servers, which layer of which video contents should be selected to replicate? 2) How to test the robustness under different network environments? Simulation results show that the proposed algorithm is robust and can provide much better performance than the conventional methods.
AB - A robust replication algorithm is very important to retrieve Web objects from the Content delivery network (CDN), where both the network topology and Web access are changed dynamically. However, current replica strategies in CDN are to statically and repeatedly keep the complete replica of the original object on many content servers. This method is weak in adapting the dynamic network, resulting in too much consumed server space and a waste of the storage cost. It becomes more serious by replicating some large-sized objects such as streaming media, which are being distributed over the Internet more and more. In this paper, we discuss a robust replication strategy for scalable video streaming in CDN to reduce user response and storage cost as follows: 1) For content servers, which layer of which video contents should be selected to replicate? 2) How to test the robustness under different network environments? Simulation results show that the proposed algorithm is robust and can provide much better performance than the conventional methods.
KW - Clustering
KW - Content distribution networks
KW - Data analysis
KW - Network traffic
KW - Replication algorithm
KW - Web performance
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M3 - Article
AN - SCOPUS:63649120311
SN - 1349-4198
VL - 3
SP - 1743
EP - 1754
JO - International Journal of Innovative Computing, Information and Control
JF - International Journal of Innovative Computing, Information and Control
IS - 6 B
ER -