Buffering and caching in large-scale video servers
COMPCON '95 Proceedings of the 40th IEEE Computer Society International Conference
Load Balancing Algorithms for Internet Video and Audio Server
ICON '01 Proceedings of the 9th IEEE International Conference on Networks
Locality-Aware Randomized Load Balancing Algorithms for DHT Networks
ICPP '05 Proceedings of the 2005 International Conference on Parallel Processing
Understanding user behavior in large-scale video-on-demand systems
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
Challenges, design and analysis of a large-scale p2p-vod system
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
MC2: Multiple Clients on a Multilevel Cache
ICDCS '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems
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Video-on-Demand (VOD) has been gaining increasing popularity in recent years. Previous load balancing algorithms in video servers mainly focus on two resources: storage and network bandwidth. However, with better network and cheaper disk, disk I/O becomes more critical in reducing user-perceived latency. In this paper, we propose an algorithm for disk I/O balancing in centralized video servers. Analytically and by simulations we show that our algorithm decreases total disk I/O amount by 30% to 50% and provides better load balancing performance and higher cache hit ratio compared with round-robin and random selection algorithm.