Evaluating the utility of content delivery networks
Proceedings of the 4th edition of the UPGRADE-CN workshop on Use of P2P, GRID and agents for the development of content networks
CDNsim: A simulation tool for content distribution networks
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Cost analysis on IPTV hosting service for 3rd party providers
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Architectural Requirements for Cloud Computing Systems: An Enterprise Cloud Approach
Journal of Grid Computing
Community detection in collaborative environments: a comparative analysis
Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments
Evolution of User Activity and Community Formation in an Online Social Network
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Locating communities on graphs with variations in community sizes
The Journal of Supercomputing
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Content Distribution Networks (CDNs) balance costs and quality in services related to content delivery. Devising an efficient content outsourcing policy is crucial since, based on such policies, CDN providers can provide client-tailored content, improve performance, and result in significant economical gains. Earlier content outsourcing approaches may often prove ineffective since they drive prefetching decisions by assuming knowledge of content popularity statistics, which are not always available and are extremely volatile. This work addresses this issue, by proposing a novel self-adaptive technique under a CDN framework on which outsourced content is identified with no a-priori knowledge of (earlier) request statistics. This is employed by using a structure-based approach identifying coherent clusters of "correlated" Web server content objects, the so-called Web page communities. These communities are the core outsourcing unit and in this paper a detailed simulation experimentation has shown that the proposed technique is robust and effective in reducing user-perceived latency as compared with competing approaches, i.e., two communities-based approaches, Web caching, and non-CDN.