File Assignment in Parallel I/O Systems with Minimal Variance of Service Time
IEEE Transactions on Computers
Comparative Models of the File Assignment Problem
ACM Computing Surveys (CSUR)
Video-on-Demand Equipment Allocation
NCA '06 Proceedings of the Fifth IEEE International Symposium on Network Computing and Applications
Cost-aware WWW proxy caching algorithms
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
Content storage architectures for boosted IPTV service
Bell Labs Technical Journal - Content Networking
Modeling user activities in a large IPTV system
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
U-turn caching optimization in IPTV networks
SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium
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
Distributed caching algorithms for content distribution networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Video-on-Demand Networks: Design Approaches and Future Challenges
IEEE Network: The Magazine of Global Internetworking
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In recent years, many telecommunication companies have regarded IP network as a new delivery platform for providing TV services because IP network is equipped with two-way and high-speed communication abilities which are appropriate to provide on-demand services and linear TV programs. However, in this IPTV system, the requests of VOD (video on demand) are usually aggregated in a short period intensively and user preferences are fluctuated dynamically. Moreover, the VOD content is updated frequently under the management of IPTV providers. Thus, an accurate popularity prediction method and an effective cache system are vital because they affect the IPTV performance directly. This paper proposed a new window-based popularity mechanism which automatically responds to the fluctuation of user interests and instantly adjusts the popularity of VOD. Further, we applied our method to a commercial IPTV system and the results illustrated that our mechanism indeed offers a significant improvement.