Equipment allocation in video-on-demand network deployments
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Video-on-demand server selection and placement
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
Video placement and disk load balancing algorithm for VoD proxy server
IMSAA'09 Proceedings of the 3rd IEEE international conference on Internet multimedia services architecture and applications
Dimensioning internet protocol television video on demand services
International Journal of Network Management
Window-based popularity caching for IPTV on-demand services
ISRN Communications and Networking
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Video-on-demand (VoD) service providers are intensely interested in transport, storage, streaming and caching in content delivery networks. Today's 5,000-hour library may grow toward the 750,000-hour "Long Tai" movie and TV-series catalog. We propose a method to calculate how much of a library should be cached. Much previous work focused on theoretical caching concepts, or the dynamics of cache filling and reclamation. Our method explicitly considers the impact of the available video server equipment; we present a VoD design tool comprising a novel cost function, hit ratio estimation and heuristic.