Paper
19 March 2009 Research and implementation on improving I/O performance of streaming media storage system
Zheng-wu Lu, Yu-de Wang, Guo-song Jiang
Author Affiliations +
Proceedings Volume 7125, Eighth International Symposium on Optical Storage and 2008 International Workshop on Information Data Storage; 712526 (2009) https://doi.org/10.1117/12.822670
Event: Eighth International Symposium on Optical Storage and 2008 International Workshop on Information Data Storage, 2008, Wuhan, China
Abstract
In this paper, we study the special requirements of a special storage system: streaming media server, and propose a solution to improve I/O performance of RAID storage system. The solution is suitable for streaming media applications. A streaming media storage subsystem includes the I/O interfaces, RAID arrays, I/O scheduling and device drivers. The solution is implemented on the top of the storage subsystem I/O Interface. Storage subsystem is the performance bottlenecks of a streaming media system, and I/O interface directly affect the performance of the storage subsystem. According to theoretical analysis, 64 KB block-size is most appropriate for streaming media applications. We carry out experiment in detail, and verified that the proper block-size really is 64KB. It is in accordance with our analysis. The experiment results also show that by using DMA controller, efficient memory management technology and mailbox interface design mechanism, streaming media storage system achieves a high-speed data throughput.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zheng-wu Lu, Yu-de Wang, and Guo-song Jiang "Research and implementation on improving I/O performance of streaming media storage system", Proc. SPIE 7125, Eighth International Symposium on Optical Storage and 2008 International Workshop on Information Data Storage, 712526 (19 March 2009); https://doi.org/10.1117/12.822670
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KEYWORDS
Operating systems

Data storage

Computing systems

Human-machine interfaces

Performance modeling

Data conversion

Data storage servers

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