Reverse-query diffusion over unstructured overlay network for content delivery
International Journal of Computer Applications in Technology
Query Message Delivery over Community-Based Overlay Network
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Cover All Query Diffusion Strategy over Unstructured Overlay Network
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Reverse-query mechanism for contents delivery management over unstructured overlay network
ICCOM'06 Proceedings of the 10th WSEAS international conference on Communications
A greedy algorithm for capacity-constrained surrogate placement in CDNs
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
Efficient stream delivery over unstructured overlay network by reverse-query propagation
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
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Server replica placement of Content DistributionNetworks (CDNs) addresses the problem of properlyplacing a set of replicas among a set of candidate sites tooptimize system performance gain. Previous studies onserver replica placement problem have focused oncomparing the performances of different replica placementstrategies. However, the growth of the optimalperformance gain with the increase of server replicas hasrarely been studied. Moreover no research has been doneto study the effects of client's content demand anddistribution patterns on the growth of performance gain.In this paper, these problems have been addressed indetail. The server replica placement problem is modeledas the well-known Minimum p-median problem and solvedby a heuristic algorithm. A trace-driven simulation isperformed and the relationship between the performancegain growth and the replica size is established. Aparametric study is performed to study the effect of contentdemand pattern a on the performance gain growth. Asimple scheme of narrowing down the candidate sites isproposed to speed up the computation.