|Title||Integrating Caching Techniques in CDNs using a Classification Approach|
|Publication Type||Journal Article|
|Year of Publication||2008|
|Authors||Pallis, George, Konstantinos Stamos, Athena Vakali, Charilaos Thomos, and George Andreadis|
Content Delivery Networks (CDNs) provide an efficient support for serving â€śresourcehungryâ€ťapplications while minimizing the network impact of content delivery as well asshifting the traffic away from overloaded origin servers. However, their performance gain islimited since the storage space in CDNâ€™s servers is not used optimally. In order to managetheir storage capacity in an efficient way, we integrate caching techniques in CDNs. Thechallenge is to decide which objects would be devoted to caching so as the CDNâ€™s server maybe used both as a replicator and as a proxy server. In this paper we propose a nonlinear nonparametricmodel which classifies the CDNâ€™s server cache into two parts. Through a detailedsimulation environment, we show that the proposed technique can yield significant reductionin user-perceived latency as compared with other heuristic schemes.
Integrating Caching Techniques in CDNs using a Classification Approach