Dynamic batching policies for an on-demand video server
Multimedia Systems
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
Storage and retrieval of compressed video
Storage and retrieval of compressed video
Energy conservation techniques for disk array-based servers
Proceedings of the 18th annual international conference on Supercomputing
Power-Aware Storage Cache Management
IEEE Transactions on Computers
Hibernator: helping disk arrays sleep through the winter
Proceedings of the twentieth ACM symposium on Operating systems principles
Multimedia Tools and Applications
Power management of enterprise storage systems
Power management of enterprise storage systems
Data prefetching to reduce energy use by heterogeneous disk arrays in video servers
Proceeding of the 23rd ACM Workshop on Network and Operating Systems Support for Digital Audio and Video
Saving disk energy in video servers by combining caching and prefetching
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special issue of best papers of ACM MMSys 2013 and ACM NOSSDAV 2013
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Reducing energy consumption is a key concern in video data centers, in which disk arrays consume a significant portion of the total energy. Disks typically support multiple power modes including a low-power mode in which they use considerably less energy than in any other mode. Therefore, extending the length of time that disks stay in low-power mode is important for energy conservation. We propose a new energy-aware buffer allocation scheme for clustered video servers which use replication. We first present a data retrieval scheme which adaptively retrieves data from the primary and backup copies so as to allow disks to go into low-power mode. We then analyze the relationship between the retrieval period and the buffer size assigned to a cluster, and examine how buffer allocation influences total energy consumption. Based on this, we propose a new buffer partitioning scheme in which the retrieval period for each cluster can be dynamically changed to adjust disk utilization, with the aim of increasing the number of disks that enter low-power mode. Simulations demonstrate that our scheme saves between 22% to 43% of the energy required for conventional video server operation