A survey of approaches to fault tolerant design of VOD servers: techniques, analysis and comparison
Parallel Computing - Special issues on applications: parallel data servers and applications
A dynamic scheduling algorithm for large scale multimedia servers
Information Processing Letters
Threshold-Based Dynamic Replication in Large-ScaleVideo-on-Demand Systems
Multimedia Tools and Applications
Striping Doesn't Scale: How to Achieve Scalability for Continuous Media Servers with Replication
ICDCS '00 Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000)
Storage and retrieval of compressed video
Storage and retrieval of compressed video
Rotational-Position-Aware Real-Time Disk Scheduling Using a Dynamic Active Subset (DAS)
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Load balancing for clusters of VOD servers
Information Sciences—Informatics and Computer Science: An International Journal
Multimedia Tools and Applications
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Increasing the number of concurrent streams while guaranteeing jitter-free operation is a primary issue for video servers. Disks storing popular videos tend to become overloaded, preventing the server accommodating more clients due to the unbalanced use of bandwidth. We propose an adaptive data retrieval scheme for load sharing in clustered video servers. We analyze how the data retrieval period affects the utilization of disk bandwidth and buffer space, and then develop a robust period management policy to satisfy the real-time requirements of video streams. We go on to propose a new data retrieval scheme in which the period can be dynamically adjusted so as to increase the disk bandwidth capacity of heavily loaded clusters and increase the number of clients admitted. Simulations demonstrate that our scheme is able to cope effectively with dynamically changing workloads and enables the server to admit many more clients.