1. GPU-accelerated high-performance encoding and decoding of hierarchical RAID in virtual machines.
- Author
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Song, Tae-Geon, Pirahandeh, Mehdi, Ahn, Cheong-Jin, and Kim, Deok-Hwan
- Subjects
VIRTUAL machine systems ,GRAPHICS processing units ,CLOUD storage ,INFORMATION technology ,CLOUD computing - Abstract
This paper proposes new GPU-accelerated high-performance encoding and decoding for hierarchical RAID in a multiple virtual machine environment. Pass-through GPU technology is used to provide dedicated access to GPU cores for each virtual machine, and for a virtual desktop, it also enables higher encoding and decoding performance than traditional vGPU technology. The proposed hierarchical RAID reduces the GPU overhead and resists node failure. Experimental results show that the average encoding performance of the proposed hierarchical RAID 55 improves by 11.03%, compared to another hierarchical RAID 51, with respect to various file sizes. In addition, the average disk-based decoding performance of the proposed hierarchical RAID 55 also improves by 59.61%. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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