Long-term movie popularity models in video-on-demand systems: or the life of an on-demand movie
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Hierarchical data placement for navigational multimedia applications
Data & Knowledge Engineering
Segmented patching broadcasting protocol for video data
Computer Communications
Adaptive segment-based patching scheme for video streaming delivery system
Computer Communications
Hi-index | 0.00 |
The NOD article makes a difference to VOD data in terms of media type, size, creation interval and user interactivity. Because of these intrinsic characteristics, user access patterns of the NOD article can be different from that of VOD data. In this paper, we analyze the log file of one electronic newspaper to show the short-term popularity and long-term popularity patterns. Based on these patterns, we propose LLBF (Largest Life-cycle Based Frequency) prefetching scheme that uses the two popularity patterns to cache a set of popular articles. In Simulation, we show that the proposed LLBF prefetching scheme increases hit ratio, and reduces the number of replacements more than other replacement algorithms as a small number of articles such as headline news is prefetched in main memory.