Integrating Caching Techniques in CDNs using a Classification Approach

Content Delivery Networks (CDNs) provide an efficient support for serving “resourcehungry” applications while minimizing the network impact of content delivery as well as shifting the traffic away from overloaded origin servers. However, their performance gain is limited since the storage space in CDN’s servers is not used optimally. In order to manage their storage capacity in an efficient way, we integrate caching techniques in CDNs. The challenge is to decide which objects would be devoted to caching so as the CDN’s server may be used both as a replicator and as a proxy server. In this paper we propose a nonlinear nonparametric model which classifies the CDN’s server cache into two parts. Through a detailed simulation environment, we show that the proposed technique can yield significant reduction in user-perceived latency as compared with other heuristic schemes.

[1]  George Pallis,et al.  Integrating Caching Techniques on a Content Distribution Network , 2006, ADBIS.

[2]  Randy H. Katz,et al.  Efficient and adaptive Web replication using content clustering , 2003, IEEE J. Sel. Areas Commun..

[3]  Christopher M. Bishop,et al.  Neural networks for pattern recognition , 1995 .

[4]  Samir Chatterjee,et al.  International Journal of Business Data Communications and Networking , 2010 .

[5]  Geoffrey M. Voelker,et al.  Characterization of a Large Web Site Population with Implications for Content Delivery , 2004, WWW '04.

[6]  Amin Vahdat,et al.  Modeling and generating realistic streaming media server workloads , 2007, Comput. Networks.

[7]  George Pallis,et al.  A similarity based approach for integrated Web caching and content replication in CDNs , 2006, 2006 10th International Database Engineering and Applications Symposium (IDEAS'06).

[8]  Jukka Heikkonen,et al.  Web cache optimization with nonlinear model using object features , 2003, Comput. Networks.

[9]  N. Shi.  Wireless Communications and Mobile Commerce , 2003 .

[10]  Yannis Manolopoulos,et al.  Prefetching in Content Distribution Networks via Web Communities Identification and Outsourcing , 2007, World Wide Web.

[11]  Spiridon Bakiras,et al.  Combining replica placement and caching techniques in content distribution networks , 2005, Comput. Commun..

[12]  Chris Chatwin,et al.  Opportunities and Limitations in M-commerce , 2004 .

[13]  Yannis Manolopoulos,et al.  Replication Based on Objects Load under a Content Distribution Network , 2006, 22nd International Conference on Data Engineering Workshops (ICDEW'06).