• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
Chen Youmin, Lu Youyou, Luo Shengmei, Shu Jiwu. Survey on RDMA-Based Distributed Storage Systems[J]. Journal of Computer Research and Development, 2019, 56(2): 227-239. DOI: 10.7544/issn1000-1239.2019.20170849
Citation: Chen Youmin, Lu Youyou, Luo Shengmei, Shu Jiwu. Survey on RDMA-Based Distributed Storage Systems[J]. Journal of Computer Research and Development, 2019, 56(2): 227-239. DOI: 10.7544/issn1000-1239.2019.20170849

Survey on RDMA-Based Distributed Storage Systems

More Information
  • Published Date: January 31, 2019
  • RDMA (remote direct memory access) is being widely used in big data area, which allows local host to access the remote memory without the involvements of remote CPUs, and provides extremely high bandwidth, high throughput and low latency, thus helping to boost the performance of distributed storage systems dramatically. As a whole, the RDMA-enabled distributed storage systems bring new opportunity to the big data processing. In this paper, we firstly point out that simply replacing the network module in distributed systems cannot fully exploit the advantages of RDMA in both semantics and efficiency, and revolutions of storage system design are urgently needed. Then, two key aspects of efficiently using RDMA are illustrated: One is the efficient management of hardware resources, including the careful utilization of NIC an CPU cache, parallel acceleration of multicore CPUs and memory management, and the other is the reformation of the software by closely coupling the software design and RDMA semantics, which uses the new features of RDMA to redesign the data placement schemes, data indexing and distributed protocols. Relative research works of distributed file systems, distributed key-value stores, and distributed transactional systems are introduced to illustrate the above two aspects. Summarizes of the paper, and suggestions for future research are also given at the end of this paper.
  • Related Articles

    [1]Yue Guangxue, Chen Guanglu, Lu Min, Yang Xiaohui, Liu Jianhua, Huang Chunlan, Yang Zhongming. A Computation Offloading Algorithm with Path Selection Based on K-shell Influence Maximization[J]. Journal of Computer Research and Development, 2021, 58(9): 2025-2039. DOI: 10.7544/issn1000-1239.2021.20200338
    [2]Cao Jiuxin, Gao Qingqing, Xia Rongqing, Liu Weijia, Zhu Xuelin, Liu Bo. Information Propagation Prediction and Specific Information Suppression in Social Networks[J]. Journal of Computer Research and Development, 2021, 58(7): 1490-1503. DOI: 10.7544/issn1000-1239.2021.20200809
    [3]Zhang Liqing, Guo Dong, Wu Shaoling, Cui Haibo, Wang Wei. An Ultra Lightweight Container that Maximizes Memory Sharing and Minimizes the Runtime Environment[J]. Journal of Computer Research and Development, 2019, 56(7): 1545-1555. DOI: 10.7544/issn1000-1239.2019.20180511
    [4]Yan Xiaoqiang, Ye Yangdong. Cross-Media Clustering by Share and Private Information Maximization[J]. Journal of Computer Research and Development, 2019, 56(7): 1370-1382. DOI: 10.7544/issn1000-1239.2019.20180470
    [5]Zhang Fenxiang, Chen Huahui, Qian Jiangbo, Dong Yihong. HSSM: A Hierarchical Method for Streaming Submodular Maximization[J]. Journal of Computer Research and Development, 2016, 53(8): 1792-1805. DOI: 10.7544/issn1000-1239.2016.20160140
    [6]Li Xiaokang, Zhang Xi, Sun Hao, Sun Guangzhong. Influence Maximization Across Multi-Channels in Social Network[J]. Journal of Computer Research and Development, 2016, 53(8): 1709-1718. DOI: 10.7544/issn1000-1239.2016.20160211
    [7]Guo Jingfeng, Lü Jiaguo. Influence Maximization Based on Information Preference[J]. Journal of Computer Research and Development, 2015, 52(2): 533-541. DOI: 10.7544/issn1000-1239.2015.20131311
    [8]Zhu Xiang, Jia Yan, Nie Yuanping, Qu Ming. Event Propagation Analysis on Microblog[J]. Journal of Computer Research and Development, 2015, 52(2): 437-444. DOI: 10.7544/issn1000-1239.2015.20140187
    [9]Chen Hao and Wang Yitong. Threshold-Based Heuristic Algorithm for Influence Maximization[J]. Journal of Computer Research and Development, 2012, 49(10): 2181-2188.
    [10]Qi Yingjian, Luo Siwei, Huang Yaping, Li Aijun, Liu Yunhui. An Annealing Expectation Maximization Algorithm[J]. Journal of Computer Research and Development, 2006, 43(4): 654-660.

Catalog

    Article views (3752) PDF downloads (1994) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return