Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 6
1734-1738

Research on performance optimization of distributed storage of massive video data

Liu Yana,b
Cao Xiaoqiana,b
a. Dalian Key Laboratory of Environmental Perception & Intelligent Control, b. College of Mechanical Engineering, Dalian University, Dalian Liaoning 116622, China
DOI: 10.19734/j.issn.1001-3695.2020.06.0167

Abstract

This paper proposed a new distributed optimized storage strategy for serious problems of inefficient file system storage, waste of space caused by redundant replicas, and disk energy depletion. First of all, it introduced Bcache hybrid storage technology to add a solid state drive in front of the disk array, as a high-speed buffer to organize the temporary data of multiple video streams, changed the multi-threaded concurrent writing task into a single-threaded sequential writing task, avoided the generation of internal disk fragments, and effectively improved the system writing efficiency. Secondly, it proposed an improved liberation code to compress and store video data, which improved the utilization of disk space while ensuring system reliability. Finally, it wrote disk speed control function based on ioctl system call, realized disk multi-level hibernation and low-latency wake-up, reduced disk energy consumption and increase service life. The results show that the storage efficiency of a single storage server under 500 channel of 4 Mbps concurrent video streams can increase about 36%, save about 40% of storage space, when the system handles 12 000 concurrent video streams, there is still about 10% of dormant disks.

Foundation Support

辽宁省重点研发计划指导计划项目(2017104014)
辽宁省科学事业公益研究基金资助项目(20170053)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.06.0167
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 6
Section: Algorithm Research & Explore
Pages: 1734-1738
Serial Number: 1001-3695(2021)06-024-1734-05

Publish History

[2021-06-05] Printed Article

Cite This Article

刘艳, 曹晓倩. 海量视频数据分布式存储性能优化方法研究 [J]. 计算机应用研究, 2021, 38 (6): 1734-1738. (Liu Yan, Cao Xiaoqian. Research on performance optimization of distributed storage of massive video data [J]. Application Research of Computers, 2021, 38 (6): 1734-1738. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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